The Rise of Sciborgs: Transforming How Science Gets Done

Introducing our new series: Sciborg ™ Sessions. See how Sciborgs are fundamentally changing how science gets done.

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webinar\ \ Solving chromatography data challenges using advanced analytics and AI\ \ \ \ Watch Webinar blog\ \ Evidence-based generative AI in smart quality control\ \ \ \ Read Blog\ \ Tetra Data Assistant: AI‑Powered Pipeline Development for the Scientific Data Foundry\ \ \ \ Read

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Solution Brief\ \ Tetra OS: The Operating System for Scientific Intelligence\ \ Download

solution-briefs,

2026-07-01

Biopharmaceutical organizations are sitting on decades of scientific data — instrument outputs, experimental results, assay records — that their AI models can't reach. Not because the data doesn't exist, but because it's fragmented across systems, formats, and sites that were never designed to work together.

Tetra OS changes that. It converts raw scientific data into AI-native, governed, reusable assets across the Scientific Data Foundry, Scientific Use Case Factory, Tetra AI, and Sciborgs — so knowledge compounds instead of resets with every new project.

Download the solution brief to see how it works.

scientific-it, ai-and-data-science,

data-replatforming, data-engineering, data-analytics, scientific-ai, quality-and-compliance,

Solution Brief\ \ Universal SDMS: A Central Hub for All Your Scientific Data\ \ Download

solution-briefs,

2025-09-30

Stop wasting time chasing files around the lab. The Universal SDMS transforms fragmented, siloed systems into a single, trusted hub for every dataset—past, present, and future.

• Find it fast: Instantly locate any dataset with natural language search.
• Trust your results: Full lineage and harmonized data strengthen reproducibility and compliance.
• Automate workflows: AI-powered pipelines eliminate manual transfers and brittle integrations.
• Accelerate science: Reuse data with confidence, simplify audits, and empower collaboration across teams and partners.

Future-proof your lab with open, FAIR, AI-ready data.

science,

data-replatforming, data-engineering, scientific-data-management,

Solution Brief\ \ Tetra Workflows: AI-Powered Scientific Data Workflow Automation\ \ Download

solution-briefs,

2025-09-22

Labs run on fragmented systems, brittle scripts, and manual data handoffs that pile up technical debt, hide critical results, and fail to meet compliance demands. Tetra Workflows changes that.

Built on the Tetra Scientific Data and AI Cloud, Tetra Workflows automates and orchestrates complex scientific data flows—without brittle code or endless IT support.

• AI-powered Workflow Assistant: Map data to ELN/LIMS in minutes.
• Visual Pipeline Builder: Drag, drop, and deploy multi-step workflows—no coding required.
• Proven Recipes & Integrations: 100s of connectors for instruments and lab systems, audit-ready by design.

scientific-it, science,

lab-data-automation, data-replatforming, data-engineering, self-service,

Infographic\ \ Scientific Data Workflow Automation\ \ View infographic

infographics,

2025-08-13

Legacy lab workflows drain time, create errors, and hide value—costing biopharma millions in wasted effort and missed opportunities.

Tetra Workflows redefines how data moves through your lab. It pairs a vendor-agnostic, cloud-native platform with powerful self-service automation tools to deliver curated, analysis-ready data exactly when and where it’s needed.

The result? Faster execution, fewer errors, and more time for science.

scientific-it, science,

lab-data-automation,

Infographic\ \ Faster, Smarter, More Predictable CMC\ \ View infographic

infographics,

2025-05-13

Siloed systems. Manual workflows. Lost opportunities.

CMC teams are stuck managing data instead of driving development.

This infographic shows how top biopharmas are transforming fragmented scientific data into a unified, AI-ready foundation—unlocking value across the entire CMC lifecycle:

• Cell line development – 70% shorter clone selection and stability studies
• ‍ Downstream development – 7x faster insights
• ‍ Method development – Up to 75% fewer out-of-spec events

See how data-driven CMC delivers speed, precision, and impact.

science,

data-replatforming, data-engineering, data-analytics, tetra-data-app,

Infographic\ \ The Scientific Data Utility Gap: Why IT Needs a New Approach\ \ View infographic

infographics,

2025-04-22

Scientific IT is at a crossroads. Siloed systems, manual workflows, and inconsistent data formats are creating a massive utility gap, slowing progress and straining resources.

This infographic reveals how leading biopharma organizations are turning scientific data from a bottleneck into a competitive edge, delivering measurable results:

• 1 PB of data replatformed annually
• Up to 98% reduction in data prep time
• $2.5M saved in data management costs
• 60% fewer steps in scientific workflows

Explore how data replatforming and engineering unlock scalable analytics and AI—while making your data more accessible, reliable, and ready to drive results.

scientific-it,

data-integration, data-engineering,

Solution Brief\ \ NGS Data Management\ \ Download

solution-briefs,

2025-03-06

Next-generation sequencing (NGS) generates massive amounts of data, but fragmented storage, inconsistent metadata, and inefficient workflows hinder discovery. The Tetra Scientific Data and AI Cloud™ eliminates these roadblocks by automating metadata management, centralizing access, and enhancing quality control—so scientists can focus on insights, not data handling.

In this solution brief, you'll learn:

• The biggest challenges in NGS data management
• How TetraScience simplifies and accelerates the process
• Real-world applications across the biopharma value chain

science, quality-and-regulatory,

data-replatforming, data-engineering, data-analytics,

LinkedIn Live\ \ The Rise of the Sciborgs\ \ Watch

expert-talks-and-panels,

2025-02-27

Solution Brief\ \ Lead Clone Selection Assistant\ \ Download

solution-briefs,

2025-02-25

Lead clone selection is a critical yet resource-intensive step in biopharmaceutical development, traditionally taking around 8 months to complete. Technical, operational, and regulatory hurdles slow time to clinic and drive up costs.

The Tetra Lead Clone Selection Assistant transforms this process by combining the Tetra Scientific Data and AI Cloud™ with advanced AI models like NVIDIA’s VISTA-2D and Geneformer. This approach reduces lead clone selection timelines from months to weeks while improving stability and productivity.

In this solution brief, you'll learn:

• The biggest challenges in lead clone selection
• How the Lead Clone Selection Assistant overcomes these obstacles
• The scientific and business outcomes of the solution

lead-clone-selection,

science, ai-and-data-science,

data-replatforming, data-engineering, data-analytics, scientific-ai, tetra-data-app,

Solution Brief\ \ TetraScience’s Unique Science-led Approach: Scientific Use Cases\ \ Download

solution-briefs,

2025-01-29

Software deployments in biopharma often fail to meet expectations. Why? They don't focus on scientific use cases.

TetraScience takes a science-led approach that supports scientific use cases end to end through lab data automation and Tetra Data Apps. Tetra Sciborgs work with customers to identify and prioritize the most impactful use cases. Altogether, this approach enables faster, more informed decisions across the biopharma value chain, unlocking the full value of scientific data.

science,

data-replatforming, data-engineering, data-analytics, scientific-ai, sciborgs, tetra-data-app,

Infographic\ \ Are You a Sciborg?\ \ View infographic

infographics,

2025-01-17

Sciborgs are transforming biopharma. These exceptional experts live at the intersection of science, data, and AI, driven by an unwavering focus on results. They hold the key to unlocking the full potential of scientific data.

Are you a Sciborg? Explore what sets them apart in our infographic—and see how Tetra Sciborgs go even further to accelerate and improve scientific outcomes.

Learn more about Sciborgs.

scientific-it, science, ai-and-data-science,

sciborgs,

Webinar\ \ Solving Chromatography Data Challenges Using Advanced Analytics and AI\ \ Register\ \ Watch webinar

webinars,

2024-11-13

The Challenge

Chromatography labs in biopharma face delays, reduced productivity, and compliance risks caused by fragmented data spread across chromatography data systems (CDSs) and sites. Analyzing this data is often slow, costly, and retrospective, hampered by fragmented data access.

The Solution

Chromatography Insights is a universal dashboard that centralizes data from all chromatography data systems (CDSs) across an organization—regardless of vendor, project, site, department, and version. It provides near real-time visibility into method, instrument, and column performance. This enables early detection of out-of-spec results, leading to improved process control, faster batch release, and better stability studies.

By visualizing data from tens of millions of injections—both recent and historical—at an enterprise scale, users and leaders can uncover deeper insights for faster, smarter decisions. This robust foundation paves the way for predictive modeling and AI, enabling organizations to leverage their data for strategic advantage.

What You’ll See in the Demo

• Batch Release Continuity: Track impurity trends across batches run at multiple sites to quickly address performance variations before they lead to out-of-spec events.
• Proactive Tech Transfer Management: Resolve tech transfer issues ahead of audits by comparing method performance across multiple CDSs. ‍
• Column Performance Tracking: Monitor and optimize column usage to prevent method failures.

method-development, quality-testing,

science, ai-and-data-science, quality-and-regulatory,

data-replatforming, data-engineering, data-analytics, scientific-ai, quality-and-compliance, tetra-data-app,

Solution Brief\ \ Chromatography Insights: Transforming your enterprise-wide chromatography data into actionable intelligence\ \ Download

solution-briefs,

2024-11-12

Chromatography Insights is the industry’s first universal chromatography dashboard, compatible with all major CDSs. It consolidates method, column, and instrument performance data into an interactive dashboard within the Tetra Scientific Data and AI Cloud™, providing near real-time insights without the need for additional visualization tools.

Engineered for enterprise scale, Chromatography Insights visualizes tens of millions of recent and historical injections with minutes-level latency. This supports robust process control and proactive monitoring to detect deviations, including out-of-specification (OOS) events, before they occur.

bioprocess-purification-development, method-development, quality-testing, tetra-data-app,

science, quality-and-regulatory, ai-and-data-science,

data-replatforming, data-engineering, data-analytics, compliance,

Infographic\ \ Transforming Quality Testing\ \ View infographic

infographics,

2024-10-09

Quality testing of drug substances and products is time-consuming and often considered a bottleneck. Decisions for a single batch typically take 40 hours, and non-compliance can be costly.

View this infographic to identify the key areas for improvement through a data-driven approach and discover the tangible outcomes biopharmaceutical companies can realize by leveraging TetraScience.

quality-testing,

science, quality-and-regulatory,

data-replatforming, data-engineering, data-analytics, quality-and-compliance,

Solution Brief\ \ Quality Testing\ \ Download

solution-briefs,

2024-10-08

In large enterprises, QC labs need to test and document the results for tens of thousands of samples per year. When deviations are identified and investigations follow, these efforts increase substantially.

Read this solution brief to learn how TetraScience can reduce the efforts of biopharmaceutical companies in QC data transfer, validation and compliance, report creation, control charts and trending, and deviations and investigations. TetraScience’s data-centric, science-driven approach can help achieve digital QC, accelerating time-to-clinic and time-to-patient, reducing batch inventory, improving revenue realization, and fulfilling patient needs earlier.

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quality-testing,

science, quality-and-regulatory,

data-replatforming, data-analytics,

Webinar\ \ The Power of Liquid Data in Biopharma CMC Workflows\ \ Register\ \ Watch webinar

webinars,

2024-09-26

The world’s most important data is biopharma’s scientific data. In this on-demand webinar, we deep dive into how to revolutionize CMC data workflows, scientific use cases, and biopharma and CxO collaboration. Gain insights into optimizing your data strategy to drive CMC efficiency and innovation.

Hear from a panel of CMC biopharma executives as they explore the path to harnessing the power of liquid data and its groundbreaking impact on furthering scientific outcomes.

science, quality-regulatory,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Webinar\ \ Unlock the power of your scientific data with Databricks and TetraScience\ \ Register\ \ Watch webinar

webinars,

2024-09-25

The biopharmaceutical industry is racing to harness advanced analytics and AI to improve drug discovery, development, manufacturing, and quality control. However, a significant barrier remains: the current state of scientific data. Despite the massive volume of available data—measured in exabytes—much of it is not yet accessible or optimized for advanced analytics and AI/ML applications. Bridging this "data utility gap" is essential for speeding up scientific breakthroughs and delivering life-changing therapies to patients more efficiently and cost-effectively.

Databricks and TetraScience have partnered to overcome these challenges, unlocking the full potential of scientific data. Together, we are revolutionizing the way scientific data is utilized, driving innovation across a growing number of Scientific AI use cases throughout the biopharmaceutical value chain.

Watch the on-demand webinar to explore:

• ‍ ‍ How scientific data must be replatformed and engineered into large-scale, compliant datasets optimized for analytics and AI
• The utilization of AI-native datasets across the pharmaceutical value chain, delivering novel insights and enabling data-driven decision-making

As a practical example, learn how Databricks and TetraScience enable the consolidation and comparison of data from chromatography data systems into a single, interactive dashboard. This empowers teams to assess performance variability, identify root causes, and track trends of this critical analytical technique in real time, leading to faster, more informed decisions across labs.

quality-regulatory, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Infographic\ \ Data and AI in Bioprocess Development: Trends and Prospects\ \ View infographic

infographics,

2024-09-19

Discover how leading pharmaceutical companies are transforming bioprocess development by leveraging scientific data and AI. Our infographic highlights key trends and strategies to keep you ahead of the curve.

What’s inside:

• Improve process efficiency: Proven techniques to streamline workflows and shorten development timelines.
• Unlock data’s full potential: Strategies to turn raw data into actionable insights for faster, smarter decisions.
• Enhance product quality: Innovative methods to maximize quality while scaling up production.

biologics-characterization, bioprocess-purification-development, method-development,

ai-and-data-science,

data-replatforming, data-engineering, data-analytics, scientific-ai,

Solution Brief\ \ Accelerate Bioprocess Development and Optimization with Data-Driven Insights and AI-Enabled Tools\ \ Download

solution-briefs,

2024-09-19

One of the biggest challenges in bioprocess development is accurately predicting and identifying critical process parameters. Scientists often struggle to collect and analyze fragmented, siloed data. The resulting lack of actionable intelligence slows development timelines and limits organizations from making real-time, data-driven decisions.

What's missing is a robust data foundation to fully support bioprocess development and optimization. To help you get started, we’ve compiled this playbook.

Inside, you'll learn:

• Key industry challenges in optimizing bioprocessing
• How predictive tools and dashboards can accelerate and improve scientific outcomes
• Data-driven use cases in bioprocess development and optimization
• The necessity of scalable data engineering to enable advanced analytics and AI

biologics-characterization, bioprocess-purification-development, method-development,

science, ai-and-data-science,

data-replatforming, data-engineering, data-analytics, scientific-ai,

Solution Brief\ \ TetraScience Lakehouse Architecture\ \ Download

solution-briefs,

2024-08-30

As scientific data grows in complexity and volume, deriving insights from it becomes increasingly challenging. TetraScience’s lakehouse architecture offers a transformative solution, seamlessly bridging the gap between data lakes and data warehouses.

With this architecture, you can:

• Efficiently query and transform scientific data, unlocking advanced analytics and Scientific AI.
• Manage datasets for both data lake and data warehouse use cases with SQL and Delta tables.
• Create datasets optimized for specific scientific use cases.
• Share datasets across platforms like Databricks without incurring additional governance burdens or costs from data duplication.

scientific-it,

data-replatforming, data-engineering,

White Paper\ \ The 8 trends redefining scientific data management in biopharma\ \ Download

white-papers-and-ebooks,

2024-07-11

The biopharmaceutical industry is undergoing a seismic shift in how scientific data is managed and analyzed. Emerging technologies like AI are driving the change, offering the potential to bring better therapies to market faster and at lower costs. To achieve these goals, organizations must fully leverage their scientific data.

Yet, by and large, these datasets are trapped in silos and proprietary formats. Biopharma leaders need to embrace data-centric strategies and frameworks to unlock the full value of their scientific data. Otherwise, they risk failing to capitalize on Scientific AI and falling behind the competition.

In this white paper, you'll learn:

• The inherent challenges of scientific data
• Why traditional data management is no longer sufficient
• 8 modern strategies to maximize data value

scientific-it, science, ai-and-data-science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, scientific-data-management,

White Paper\ \ Challenges and Future Directions in CMC\ \ Download

white-papers-and-ebooks,

2024-04-10

Despite its immense value, scientific data in chemistry, manufacturing, and controls (CMC) remains largely untapped. As a result, biopharma companies are struggling to accelerate timelines and reduce costs during late-phase development. A group of industry experts explored the root causes and how best to address them. This white paper summarizes their key findings.

Inside, you'll learn:

• The top 3 business challenges facing CMC and their underlying causes
• Key areas for future development within CMC
• The industry's readiness for electronic regulatory submissions
• Opportunities for using AI in CMC and their potential impact

science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai, quality-and-compliance,

Solution Brief\ \ ddPCR in gene therapy: Solving data workflow challenges\ \ Download

solution-briefs,

2024-02-22

Droplet digital polymerase chain reaction (ddPCR) is increasingly being used in the development and manufacturing of gene therapies. The technique can measure the quantity and quality of gene therapy vectors as well as evaluate cells treated with the therapy.

‍

In this solution brief, we explore the applications of ddPCR in gene therapy and the data challenges faced by scientists who routinely use the technique. We also show how the Tetra Scientific Data and AI Cloud™ streamlines and enhances ddPCR workflows, leading to faster and better scientific outcomes.

scientific-it, science,

data-replatforming, data-engineering,

Solution Brief\ \ GxP for the Scientific Data and AI Cloud\ \ Download

solution-briefs,

2024-01-26

TetraScience employs a comprehensive, 3 pillared approach to regulatory compliance—adhering to essential industry guidance and standards, including:

• Good Manufacturing Practices (GMP)
• Good Laboratory Practices (GLP)
• Good Automated Manufacturing Practices (GAMP 5 2nd edition)
• Food and Drug Administration (FDA) 21 CFR Part 11
• FDA Computer Software Assurance (CSA) Guidance
• EU Annex 11

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Learn how TetraScience can accelerate your journey to quality and compliance by:

• Reducing validation effort by 80%
• Increasing ROI by 2-3x
• Slashing deployment time by two-thirds
• Simplifying change management

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quality-and-regulatory,

quality-and-compliance,

Infographic\ \ Scientific AI trends in biopharma\ \ View infographic

infographics,

2023-12-21

The biopharmaceutical industry stands at a crossroads. R&D costs are rising. Sales are falling. And the process from discovery to commercialization remains long and complicated. Many biopharma leaders believe artificial intelligence (AI) will reverse these trends, potentially revolutionizing the entire value chain. They’re placing big bets on AI through investments in technology, people, and partnerships.

Explore the latest trends in Scientific AI by the numbers.

science, ai-and-data-science,

scientific-ai,

White Paper\ \ The Scientific AI gap\ \ Download

white-papers-and-ebooks,

2023-12-18

Biopharma leaders today are poised to capitalize on the power of artificial intelligence (AI) to speed delivery of new therapeutics and drive down fast-rising costs. But for many biopharma companies, there is a gap between the vision for AI and the present reality. They struggle to launch AI initiatives or capitalize on previous efforts.

Why? The answer centers on data. The vast volumes of data that biopharma companies generate and collect are not ready for advanced analytics, AI, or machine learning applications. Moving forward will require a revolutionary scientific data paradigm.

In this white paper, you’ll learn:

• The promise of Scientific AI in biopharma

• 3 primary obstacles to Scientific AI

• How to close the AI gap

scientific-it, science, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai,

Webinar\ \ Liquid Chromatography Meets Liquid Data\ \ Register\ \ Watch webinar

webinars,

2023-12-08

Hear how the Tetra Scientific Data and AI Cloud can help organizations derive more value from their chromatography data. This webinar video shows how organizations can use the Tetra Scientific Data and AI Cloud to help create a system suitability dashboard with TIBCO Spotfire to identify instrument issues and avoid misleading experimental results. It also shows how the Tetra Scientific Data and AI Cloud can simplify the search and analysis of data generated by chromatography data system (CDS) instruments, such as Waters Empower.

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Webinar\ \ Making BioPharma AI-Ready\ \ Register\ \ Watch webinar

webinars,

2023-12-08

Creating scientific data for analytical development

Heterogeneous data formats prohibit advanced analytics and AI

The pharmaceutical industry is experiencing a surge in scientific data due to the growing complexity of new therapeutic modalities and the urgency to bring improved therapeutics to market more efficiently. However, this valuable scientific data is often trapped in on-premise instrument control and acquisition software, compounded by the challenge of dealing with diverse vendor-specific data formats, thus inhibiting the potential of AI.

Is engineered scientific data the force multiplier for AI?

In this webinar, we will explore a use case involving a leading pharmaceutical company that aims to provide its scientists and engineers with analytics and AI-ready data across multiple laboratories, departments, and facilities.

By making this data available, scientists can leverage prior work to inform their actions and improve scientific outcomes. Moreover, they can identify and accelerate the most promising scientific strategies , leading to substantial time and cost savings.

This webinar will address several crucial aspects of maximizing the value of scientific data in the biopharmaceutical industry, including:

• Centralizing and harmonizing scientific data
• Improving collaboration and data sharing
• Leveraging Semantic AI in biopharma
• Managing diverse taxonomies efficiently
• Automating data preparation and engineering

Don’t miss this opportunity to discover how your organization can maximize the value of your data and accelerate scientific advancements through AI.

asset-utilization, bioprocess-purification-development,

scientific-it, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai,

Video\ \ Revvity Signals Integration with the Tetra Scientific Data Cloud\ \ Watch video

videos,

Learn how to eliminate manual data movement by seamlessly integrating electronic lab notebooks (ELNs) and scientific instruments with the Tetra Scientific Data Cloud.

This demo video focuses on integration with Revvity Signals Notebook, showing how users can create samples in Signals, send the sample list to instrument control software via the Tetra Scientific Data Cloud, run an experiment, and then automatically receive results back in Signals. Teams can speed workflows and avoid tedious, error-prone manual tasks.

Presented by Ian Cooper, integrations architect at TetraScience, this video is part of the Tetra Product Short Cuts series, which shows what TetraScience does for your scientific data—in short order.

Read more about TetraScience-Signals integration.

Video\ \ Sciborgs in action: Bioassay development and high-throughput screening\ \ Watch video

videos,

2023-11-30

Meet Katja and Tal, two of our Sciborgs currently helping customers accelerate scientific outcomes with the Tetra Scientific Data and AI Cloud™. In this video, you'll learn how they improved bioassay development and high-throughput screening for two biopharma customers.

The engagement with Tetra Sciborgs is a key part of our Tetra Catalysts offering. Our Sciborgs are an elite team of scientific business analysts and scientific data architects embedded in your organization who focus on business outcomes and identify high-impact areas to maximize ROI.

For a detailed look at our Sciborgs, read our blog post on how Sciborgs Drive Better Science.

high-throughput-screening,

scientific-it, science,

sciborgs,

Video\ \ Tetra Empower Agent v5.2: Increased performance, reliability, and scalability\ \ Watch video

videos,

2023-11-28

Learn how the release of Empower Agent v5.2 by TetraScience improves agent performance, reliability, and scalability as you ingest data from the Waters Empower Chromatography Data System (CDS) into the Tetra Scientific Data Cloud™. New capabilities provide scientists with significantly faster access to data and reduce the likelihood of processing errors—even as organizations scale the volume of chromatography projects.

This video highlights key features and enhancements, including:

• Horizontal scalability
• Project prioritization
• Maximum number of projects per scan
• Agent connectivity monitoring
• Ingestion of project and user access permission data

scientific-it, science,

data-replatforming,

Video\ \ Accelerate Upstream Bioprocessing with the Tetra Scientific Data and AI Cloud\ \ Watch video

videos,

2023-11-06

Learn how the Tetra Scientific Data and AI Cloud can help streamline upstream bioprocessing by automating the collection, transformation, and publication of data. As this video explains, the Tetra Scientific Data and AI Cloud can reduce data management burdens and help ensure data integrity while also facilitating file searches and enabling the consumption of data in a variety of endpoints, including analytics and AI tools. The video shows how a real-time TIBCO Spotfire dashboard built on the Tetra Scientific Data and AI Cloud can help scientists visualize and analyze experimental results to generate new insights rapidly.

bioprocess-purification-development,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics, lab-data-automation,

Video\ \ Streamlining Research with the Tetra Scientific Data Cloud\ \ Watch video

videos,

2023-11-06

Discover how biopharma teams can automate data processing and unlock new data-driven insights with the Tetra Scientific Data Cloud. Through a plate reader demo, this video describes how the Tetra Scientific Data Cloud harmonizes and enriches raw instrument data. It can then automatically correlate sample information with scientific results, eliminating the time-consuming, error-prone process of copying and pasting data.

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The video also explains how teams can translate scientific data into insights using visualization tools built on the Tetra Scientific Data Cloud. In the demo, a visualization tool transforms plate reader information into heatmaps and IC50 curves, which can be used to accelerate discovery of unique drug candidates through data science analysis.

scientific-it, science, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Video\ \ Tetra Data Overview Video\ \ Watch video

videos,

What do life sciences organizations gain once all of their scientific data is in a standardized format? With the Tetra Data Platform and Tetra Data, you reduce costs of building or maintaining brittle point-to-point integrations, shift scientist and data scientists' time from wrestling with data to higher-value and more productive work, launch innovations faster, improve and speed scientific outcomes, and capture more market opportunity.

Video\ \ Lead Clone Selection Assistant\ \ Watch video

videos,

2026-05-20

Cell line development teams lose weeks aligning data from instruments, assays, and imaging systems before they can even compare candidates. Clone IDs live in one system, titer data in another, morphology images somewhere else. By the time scientists piece it together, the decision window has closed.

The Tetra Lead Clone Selection Assistant connects that data automatically. Assay results, process metadata, and imaging analysis, harmonized by clone ID, passage, and time point, in one environment. Scientists compare productivity, stability, growth, and morphology side by side, then use predictive models trained on early-stage signals to forecast fed-batch performance before committing to scale-up.

Built with NVIDIA VISTA-2D for cell segmentation and AI-augmented for titer prediction, the app turns what used to take 8 months into a 2.5-month process. Teams we've worked with report 70% faster clone selection decisions and 85% lower cost of goods through higher-yield candidates and shorter timelines.

Watch the demo to see how connected data changes what's possible in cell line development.

Video Transcript below:

Lead Clone Selection is the process of identifying the cell line with the right productivity, stability and scalability to advance into biologics manufacturing.

Historically, the data that is needed to make that decision is fragmented across systems, spreadsheets and even proprietary file formats. So, that means scientists are having to spend a very significant amount of time aligning the data by clone IDs, time points, assay results, and process metadata before they can even compare the candidate that they would want to move forward.

What we're doing with the Lead Clone Selection Assistant is bringing all of these data together in one governed environment. So that means instrument and assay data are captured. They're harmonized into standard schemas and then linked with key metadata such as clone ID, passage, time point, fee strategy, and assay condition. And we built this application to demonstrate how connected clone selection data can support faster, more confident decision making.

And what we've seen is a measurable impact with a seventy percent acceleration in time to clone selection decision, an eighty five percent reduction in cost of goods through higher productivity and shorter timelines, as well as the ability to assess clone stability and productivity in parallel rather than as separate sequential activities. So in the demo that I'm gonna show you right now, I'll show how scientists can compare clone performance across productivity, growth, stability, morphology, and process conditions in a single view. So I have pulled up the Lead Clone Selection Assistant.

I've chosen the product that I'm interested in reviewing.

And now you can see that I can move through the key stages of the lead clone selection workflow at the top here starting from initial transaction.

I can look at mini pool performance if that's part of the standard workflow and also cloning, which is what I'm gonna focus on today.

So this is really where teams are deciding which clones are strong enough to advance. And this first view here shows clone performance over time, so I can look at things like titer, viability, or even viable cell density, and I can compare different clones. So right now, we're looking at the top three clones, but I could also look at top twenty, top forty eight, or all of the potential clones that I have. You can imagine the more clones that we're looking at, the little bit this graph becomes a bit more complex, but that capability is available. And then over here on the right, we have a radar plot to give a quick multidimensional comparison of top clones across several different variables at once.

And that helps show whether a clone is well rounded or might be strong in one area but weaker in another. And I think the important point here is that this type of comparison normally requires significant manual effort. So scientists are having to pull data from multiple systems, align those results by clone and time point, clean that data, and then rebuild plots for each round of analysis that they're doing.

But here, all of that work is being handled behind the scenes. So the assay data, the process data, and clone metadata are automatically linked and harmonized so that these views can be generated in just seconds instead of days.

And then from there, we can actually go deeper into clone quality.

So titer and viability are important, but they don't always tell the full story. So you might have a clone that looks productive early on, but might show signs of instability or stress later or it might scale poorly later.

And that's where morphology becomes really valuable. So in this workflow, we've brought imaging data into the same environment as assay and process data and we're using NVIDIA's VISTA 2D model for cell segmentation and the application takes that information to quantify morphology features such as circularity, cell diameter and other indicators of cell health and then align those results to clone ID, time point and condition.

Some of these metrics you might be able to get from a cell counter but where the embedding of this model becomes really powerful is looking at the clump analysis from these images. So you can get an idea of the clumping rate, the average clump size for the different candidates that you're interesting. You can also view the clump size distribution for a particular entity or across entities on a particular day.

In addition, we have other distribution analyses of other parameters that you can view.

That makes imaging analytically useful, not just something scientists are visually inspecting in isolation.

So now they can confirm whether a top performing clone is also gonna maintain healthy morphology over time, and this gives data scientists the ability to use morphology features as inputs for predictive models.

And so that brings us to the final piece of this, which is the prediction.

So here, we're using early stage data. So things like static titer, the morphology features we just talked about, flow cytometry results, ddPCR-based light and heavy chain ratios to predict final fed batch titer. So these are signals that already exist in the workflow, but they're usually too fragmented to combine in any reliable way. And so by bringing all of them together, the application helps scientists prioritize clones based not only on the performance indicators here and the health of the cells over time, but also on their projected performance at scale. And the result is faster selection, fewer waste experiments, and more confident advancement decisions.

To summarize, we've gone from siloed metrics to a fully integrated decision support system, from days of manual analysis to real time insights, and then from trial and error to predictive multidimensional clone selection. And everything you've seen is built on a unified data foundation that brings together data from all of the varied sources on the left of this graphic, and this powers the leaf clone selection assistant, the VISTA 2D model, as well as the titer prediction model that we have hosted in Databricks.

lead-clone-selection,

science, ai-and-data-science,

data-analytics, scientific-ai, tetra-data-app,

Video\ \ Cross-Instrument Antibody Screening with AI-Driven Triage\ \ Watch video

videos,

2026-05-18

Antibody screening workflows today require scientists to manually stitch together data from multiple instruments. There's no unified view, no intelligence between steps, and no automated decision-making to prioritize what runs next.

This demo shows what changes when that process runs on Tetra OS.

What you'll see:

Real instrument data flowing automatically into the platform—QuantStudio (protein thermal shift) and Attune CytPix (flow cytometry)—unified in a single environment. The platform analyzes results across both assays, applies AI-driven triage logic, and generates the next experiment setup automatically.

This is cross-instrument workflow orchestration with a closed-loop decision engine. The platform doesn't just collect data—it decides what to do with it.

Why it matters:

Most scientific data platforms stop at integration. They ingest files, maybe transform them, and hand them off to downstream tools. But the coordination across instruments—the triage, the prioritization, the "what do we run next" decision—still falls to manual processes.

Tetra OS closes that loop. Scientists get a unified view of their screening workflow, AI-driven candidate ranking, and automated experiment queuing—all without leaving the platform.

Built in collaboration with Thermo Fisher Scientific.

scientific-it, quality-and-regulatory, scientist,

scientific-data-management,

Video\ \ Unicorn to ELN In Minutes: Automated Chromatography Data Workflows\ \ Watch video

videos,

2026-04-15

Stop manually exporting chromatography runs. The Tetra OS connects your ÄKTA Unicorn system directly to Benchling — and every other ELN or LIMS — with no custom integration work and no data left behind.

Watch this demo to see:

• Automatic data capture — A single note saved in Unicorn triggers an instant upload to the Tetra OS. No file exports. No USB drives. No manual entry.

• Standardized data, ready for everything— Raw run data is automatically converted to a structured Intermediate Data Schema (IDS), making it portable to any ELN, LIMS, or analytics application without bespoke mapping for each target.

• Purification Insights, out of the box — Because the data lands in a predictable format, the Purification Insights app is immediately available: multi-run chromatogram overlays, automated peak alignment, and UV280 signal analysis — all without preparing or reformatting a single file.

The result: Your purification data flows from instrument to ELN to analytics application in minutes — fully traceable, fully structured, and ready for downstream AI applications the moment it's captured.

Request a Live Walkthrough

Video\ \ Metadata-Only Ingestion: Find everything. Move nothing\ \ Watch video

videos,

2026-01-20

Most data platforms require you to move files into a central repository first — provisioning storage, planning migrations, managing sync jobs, and maintaining duplicate copies of petabyte-scale datasets. This demo shows a different approach.

With metadata-only ingestion, Tetra indexes your scientific data wherever it lives — instruments, shared drives, LIMS, ELN, cloud storage, and archives. Scientists get a single search interface across all of it. The files stay exactly where they are.

What IT gets

• No storage infrastructure to provision or fund

• No migration project to scope, plan, or execute

• No duplicate copies of large datasets to maintain

• Files stay in existing compliant storage — nothing moves, nothing breaks

• Scientists stop filing tickets asking IT to hunt down data

What scientists get

• One search across every data source — no more checking multiple systems

• Find historical experiments from former colleagues without knowing their folder structure

• Search by metadata across large file types like NGS, mass spec, and imaging

• Stop re-running experiments just because you couldn't find the original data

The bottom line: Your data stays where it is. Discovery gets dramatically easier. IT avoids another migration project.

scientific-it, quality-and-regulatory,

scientific-data-management,

Video\ \ IDS to ASM Assistant\ \ Watch video

videos,

2025-10-02

The Allotrope Simple Model, or ASM, is a powerful open standard for harmonizing scientific data across instruments, teams, and labs. Adoption, however, can be slowed by gaps in schemas and the complexity of building mappings. TetraScience addresses this with the Intermediate Data Schema (IDS)—an open, vendor-agnostic format that preserves the full richness of scientific data.

The IDS to ASM Assistant then accelerates the process, using AI to generate pipelines that transform IDS into ASM in minutes instead of weeks. Watch the demo to see how this app delivers standardized, community-driven outputs without losing scientific detail, and builds a foundation ready for analytics and AI.

scientific-it, ai-and-data-science,

data-engineering, self-service, ,

Video\ \ IDS Assistant\ \ Watch video

videos,

2025-09-25

See how the IDS Assistant in the Tetra Data and AI Workspace makes it simple to design, edit, and publish an Intermediate Data Schema (IDS).

In this demo, you’ll watch as a new schema is built from scratch—adding metadata, customizing components, visualizing changes, and generating JSON previews. With just a couple of clicks, the schema is deployed and published to the Tetra Data Platform, fully versioned and ready to use.

scientific-it, ai-and-data-science,

data-engineering, scientific-data-management, self-service, tetra-data-app,

Video\ \ Stability Monitoring App\ \ Watch video

videos,

2025-08-26

The Stability Monitoring app—available within the Tetra Data and AI Workspace—gives scientists a single interface to review stability studies, verify data points with full lineage back to raw files, and visualize key metrics over time.

Drill down from study overviews to assay results and impurity data, configure plots to spot trends, and export results with ease. Designed to eliminate common bottlenecks, the app brings all critical stability data into one harmonized, AI-ready view.

quality-testing, method-development,

scientific-it, science, quality-and-regulatory, ai-and-data-science,

data-analytics, tetra-data-app,

Video\ \ Visual Pipeline Builder\ \ Watch video

videos,

2025-08-06

The Visual Pipeline Builder in the Tetra Scientific Data and AI Cloud lets you create, modify, and deploy data pipelines with a simple drag-and-drop interface—no coding required.

In this short demo, you’ll see how to build workflows using preconfigured modules from the TetraScience library, making it easy to mix, match, and customize pipelines to your needs.

scientific-it,

data-replatforming, data-engineering, self-service, lab-data-automation,

Video\ \ Self-Service Pipelines\ \ Watch video

videos,

2025-07-11

TetraScience provides powerful pre-built pipelines, but when you need something custom, Self-Service Pipelines put you in control. With just a few lines of Python or R, you can design and deploy workflows that fit your instruments, systems, and science.

In this demo, see how Self-Service Pipelines enable you to:

• Convert raw instrument data into harmonized, analytics-ready formats
• Add custom logic with modular Python task scripts
• Control execution with trigger conditions, versioning, and built-in error handling
• Integrate with GitHub automated CI/CD across dev, test, and prod
• Simulate and validate your code locally with mock context objects

scientific-it,

data-replatforming, data-engineering, self-service,

Video\ \ Workflow Creation Assistant\ \ Watch video

videos,

2025-06-23

See how the Workflow Creation Assistant turns complex data integrations into a simple, self-service experience.

In this demo, instrument data is automatically processed, mapped, and delivered to an ELN—using a no-code, AI-driven approach.

Powered by the Tetra Scientific Data and AI Cloud, the assistant enables scientists to build and deploy integrations much faster than traditional, manual methods.

science,

data-replatforming, data-engineering, lab-data-automation, self-service, tetra-data-app,

Video\ \ VivaTech 2025: Hope and Hype of Scientific AI\ \ Watch video

videos,

2025-06-20

Watch TetraScience CEO Patrick Grady at VivaTech 2025 deliver a candid take on the real barrier to AI in biopharma: data readiness.

In this clip from the panel “The Rise of Scientific AI,” Grady explains why siloed, unstructured, and inaccessible data is the primary reason most initiatives stall.

Want the full story? Read the panel recap.

Footage courtesy of Viva Technology.

ai-and-data-science,

scientific-ai,

Video\ \ VivaTech 2025: Scientific AI Demands Collaboration\ \ Watch video

videos,

2025-06-20

In this VivaTech 2025 clip, TetraScience CEO Patrick Grady urges the industry to move beyond vendor relationships and embrace true collaboration. The data is massive. The challenge is complex. Only by working together can we unlock the full potential of scientific AI.

Want the full story? Read the panel recap.

Footage courtesy of Viva Technology.

ai-and-data-science,

scientific-ai,

Video\ \ From ELN to CDS and Back: Automated Data Workflows\ \ Watch video

videos,

2025-05-28

See how the Tetra Scientific Data and AI Cloud enables seamless, bidirectional data exchange between your ELN and CDS.

In this demo, we walk through an automated workflow using Revvity Signals Notebook and Waters Empower CDS. But the same approach can be applied to any informatics software (e.g., ELN, LIMS) or chromatography data system (CDS).

Watch how:

• Sample information moves from ELN to CDS with a single click
• Raw chromatography results are automatically uploaded and engineered into open, analytics-ready data
• Results return to the ELN—fully traceable and easy to access

scientific-it, science,

data-replatforming, data-engineering, lab-data-automation,

Video\ \ Lab Data Automation for Stability Studies\ \ Watch video

videos,

2025-05-20

See how the Tetra Scientific Data and AI Cloud streamlines stability studies with end-to-end data automation.

In this short demo, you’ll learn how to:

1. Automatically upload raw files from Karl Fischer titrators and particle size analyzers to the cloud
2. Contextualize and harmonize data into an open, vendor-agnostic JSON format
3. Populate specific rows and columns in Revvity Signals Notebook—no manual steps required

Watch the entire workflow in action, from instrument output to ELN update, in just minutes.

formulation-development, quality-testing,

scientific-it, science,

data-replatforming, data-engineering, lab-data-automation,

Video\ \ Tetra Data Platform Overview\ \ Watch video

videos,

2025-05-09

Get a guided tour of the Tetra Data Platform. As part of the Tetra Scientific Data and AI Cloud, it streamlines how you find, manage, and use your scientific data.

In this short video, you’ll learn how to:

• Search, preview, and access scientific files and metadata
• Understand file categories like raw, processed, and IDS
• Work with schemas and artifacts to standardize your data
• Configure agents and pipelines to automate ingestion and processing
• Use the Data and AI Workspace to extract insights and collaborate

Whether you're new to TetraScience or just need a refresher, this demo covers the core features of the platform.

scientific-it,

data-replatforming, data-engineering,

Video\ \ Cell Culture Insights\ \ Watch video

videos,

2025-05-06

Optimizing bioprocess conditions requires more than good science. It takes data that’s accessible, contextualized, and ready for action.

That’s where the Cell Culture Insights app comes in. It harmonizes readings from instruments, metadata from your LIMS, and context from your ELN into a single, analysis-ready dataset.

See how Cell Culture Insights empowers:

• Analytical & Process Development Teams – Visualize trends across media, conditions, and cell lines, accelerating optimization and boosting yield.
• Quality & Manufacturing Science Teams – Detect process drift early and investigate root causes before product quality is impacted.
• Data Teams – Build models and uncover patterns using complete, FAIR datasets.
• IT Teams – Save time, reduce ad hoc requests, and provide scalable access to high-quality data.

Transform the way you manage, monitor, and optimize cell culture data.

method-development,

scientific-it, science, quality-and-regulatory, ai-and-data-science,

data-replatforming, data-engineering, data-analytics, tetra-data-app,

Video\ \ Data Sync Utility\ \ Watch video

videos,

2025-04-29

When scientists process data on personal computers, results often get stranded—isolated on local drives and disconnected from the broader data ecosystem.

The Tetra Data Sync Utility closes the loop. It automates the movement of raw and processed data—from instruments to desktops and back to the cloud—preserving traceability, reducing manual work, and protecting data integrity.

In this demo, we illustrate the workflow using a flow cytometry experiment analyzed in FlowJo.

See how the Data Sync Utility:

• Automates downloads and uploads of raw and processed data
• Seamlessly integrates with the Tetra Data Platform to send results to ELNs
• Uses flexible filters to sync only the data you need—by site, timeframe, or file path

scientist-it,

data-integration,

Video\ \ Manage Your External Partner (CRO/CDMO/CMO) Data: From Scanned PDFs to AI-Ready Data\ \ Watch video

videos,

2025-03-26

Biopharma organizations today rely on external partners more than ever, yet the methods for exchanging data remain stuck in the past. Manual file transfers, siloed spreadsheets, and static PDF reports create massive delays and high error rates, preventing scientists from gaining real-time insights.

In this video, see how the Tetra Scientific Data and AI Platform and our Data Review App automate the ingestion and engineering of CRO, CDMO, and CMO data, transforming it into structured, actionable data that - once accepted - is automatically pushed to your system of record (ELN, LIMS).

What You'll See

• AI-Powered PDF Extraction: See how we convert scanned and handwritten PDF reports into structured, schematized data, eliminating hours of manual data entry.
• Automated Data Harmonization: Watch how heterogeneous partner files are automatically engineered into the open, vendor-agnostic format (IDS).
• Streamlined Data Review Workflows: Experience the "Human-in-the-Loop" review process that ensures data that doesn't meet your expectations is returned to the partner org for revision, while only data meeting your quality thresholds moves to downstream systems.
• Push Accepted Results into ELN, LIMS: Once accepted, automatically move external results into your ELN or LIMS for immediate analysis.

cxo-collaboration,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Video\ \ Chromatography Insights Overview\ \ Watch video

videos,

2025-03-10

In biopharma, chromatography data holds critical insights—but it's often locked in disconnected systems across multiple vendors, projects, and sites.

The Chromatography Insights app in the Tetra Data and AI Workspace changes that. Unify CDS data from all vendors, access contextualized data in tools like Databricks and Snowflake, and leverage an enterprise-scale solution built to handle millions of injections.

See how Chromatography Insights empowers:

• Analytical Teams – Accelerate method development with centralized data and powerful troubleshooting tools like Chromatogram Overlay.
• Quality Teams – Gain unprecedented visibility into product quality, detect issues early, and streamline audits with features like Column Logbook.
• IT Teams – Eliminate CDS integration headaches and reduce manual workload with ready-made dashboards.
• Data Teams – Harness AI-ready datasets for advanced analytics and predictive modeling.

Transform the way you manage chromatography data and unlock powerful insights across your organization.

asset-utilization, bioprocess-purification-development, quality-testing, quality-testing,

scientific-it, science, quality-and-regulatory, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics, compliance, tetra-data-app,

Video\ \ Tetra File-Log Agent\ \ Watch video

videos,

2025-02-19

Discover how the Tetra File-Log Agent, as part of the Tetra Scientific Data and AI Cloud, simplifies data collection, contextualization, engineering, and retrieval across a wide range of scientific instruments.

In this video, you'll see how the File-Log Agent streamlines data workflows with: ‍ ‍

• ‍ Seamless file uploading with progress monitoring ‍
• Contextual labeling for enhanced searchability within the Tetra Data Platform (TDP) ‍
• Automated file management, eliminating the need for manual archiving and deletion ‍
• Bidirectional file transfers between TDP and on-premise systems ‍
• Checksum verification to maintain data integrity ‍
• Scheduler monitoring to handle system outages

scientific-it,

data-replatforming, data-replatforming, data-engineering, scientific-data-management,

Video\ \ Genius of AND: Automate Batch Release Data and Enable AI with Snowflake or Databricks\ \ Watch video

videos,

2025-02-07

See how the Tetra Scientific Data and AI Cloud transforms quality testing workflows by eliminating manual data entry, reducing errors, and accelerating batch release.

What you'll learn:

• The batch release process and key QC steps
• Automated data flows for purity analysis by HPLC and moisture testing by Karl Fischer titration—seamlessly connecting Signals Notebook, Empower CDS, LabX, and Tiamo
• How TetraScience integrates with Snowflake and Databricks to unlock advanced analytics and AI-driven insights

Experience the power of lab data automation and AI enablement to drive smarter, faster decisions in batch release and quality testing.

quality-testing, quality-testing,

scientific-it,

data-replatforming, data-replatforming, data-engineering,

Video\ \ Pipeline UX Refresh and Versioning\ \ Watch video

videos,

2025-01-22

Discover the latest updates to the Tetra Data Platform designed to streamline scientific data engineering.

In this video, we showcase:

• Improved pipeline UX: Quickly configure and update pipelines for a more efficient workflow.
• Pipeline versioning: Access a complete version history of your pipelines and roll back to previous versions with a single click.

scientific-it,

self-service,

Video\ \ Tetra Data Capture App: Weighing Workflow\ \ Watch video

videos,

2025-01-17

Tired of error-prone manual data entry? The Tetra Data Capture App transforms routine tasks like weighing samples into streamlined, error-free processes.

In this video, you’ll see:

• The challenges of traditional weighing workflows
• A step-by-step demo of using the app to capture data from balances
• Seamless integration with ELN/LIMS platforms and the Tetra Scientific Data and AI Cloud

Discover how our vendor-agnostic, user-friendly solution ensures data accuracy, traceability, and compliance—saving you time and reducing errors.

scientific-it, science,

data-replatforming, data-replatforming, quality-and-compliance, lab-data-automation, tetra-data-app,

Video\ \ IoT Approach to Data Capture\ \ Watch video

videos,

2024-12-19

See how TetraScience simplifies data capture from simple instruments like balances through an Internet of Things (IoT) approach.

In this demo, you'll learn:

• Common pain points of traditional weighing workflows
• Two IoT-based methods for data capture:

1. Serial command and response
2. Print button (serial forwarding)

scientific-it, science,

data-replatforming, data-replatforming, lab-data-automation,

Video\ \ Scientific AI with TetraScience and Snowflake\ \ Watch video

videos,

2024-12-17

Life sciences organizations struggle to harness their scientific data—siloed, unstructured, and locked in vendor-proprietary formats. The Tetra Scientific Data and AI Cloud, combined with the Snowflake AI Data Cloud, transforms raw scientific data into analytics-ready and AI-native datasets shared across both platforms.

In this video, explore a real-world use case in cell culture fermentation—just one of many—and see how:

• TetraScience seamlessly integrates with Snowflake
• Harmonized scientific data powers apps, accelerates analysis, and enables rapid, informed decisions
• Scientists and data scientists can easily collaborate to find, share, and explore data

scientific-it, science, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai,

Video\ \ Streamlining the qPCR data flow to Veeva Vault LIMS\ \ Watch video

videos,

2024-12-13

Explore how the Tetra Scientific Data and AI Cloud seamlessly moves quantitative PCR (qPCR) data into the Veeva Vault LIMS platform—just one of many use cases. This automated, end-to-end workflow ensures the efficient and accurate transfer of data from scientific instruments to Vault LIMS.

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, lab-data-automation,

Video\ \ Lakehouse Architecture\ \ Watch video

videos,

2024-12-05

As scientific data grows in complexity and volume, extracting meaningful insights becomes increasingly difficult. The Tetra Lakehouse architecture simplifies data replatforming and engineering, making it easier for biopharma companies to harness advanced analytics and AI.

In this demo, we explore:

• The key features of a data lakehouse for scientific data
• Data workflows within the Tetra Lakehouse
• Transforming IDS JSON data into Delta tables
• How to access and query Delta tables in the Tetra Data Platform

scientific-it, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering,

Video\ \ The Value of Scientific Use Cases\ \ Watch video

videos,

2024-10-25

At TetraScience, we know the key to unlocking the power of your scientific data lies in solutions built around scientific use cases. See how our tools and expertise help you identify, design, and prioritize these use cases—turning raw data into actionable insights.

Learn more about our scientific outcomes.

science,

sciborgs,

Video\ \ Labeling and Contextualization\ \ Watch video

videos,

2024-10-04

Discover how the Tetra Scientific Data and AI Cloud™ enhances data management and search capabilities with advanced labeling and contextualization.

In this demo, you'll learn how to apply:

• Static labels: Automatically applied to incoming files based on source information (e.g., laboratory number and site).
• Dynamic labels: Extracted from file names, paths, or metadata (e.g., well locations and instrument info).
• Third-party labels: Added from external sources like CSV files or databases (e.g., sample ID).

Explore these features to streamline your data management and make data searching more efficient.

scientific-it,

data-replatforming, scientific-data-management,

Video\ \ Data Access Controls and Custom Roles\ \ Watch video

videos,

2024-09-19

Biopharma companies must carefully control access to scientific data based on user roles. TetraScience addresses this need with two powerful data governance features—Custom Roles and Data Access Controls. These tools enable administrators to precisely manage access to data and functionalities within the Tetra Scientific Data and AI Cloud.

Watch this demo to see how Data Access Controls and Custom Roles provide secure, tailored access, helping you maintain compliance and protect proprietary information across your organization.

scientific-it,

scientific-data-management,

Video\ \ Chromatography Insights in the Tetra Data and AI Workspace\ \ Watch video

videos,

2024-08-06

The Chromatography Insights app in the Tetra Data and AI Workspace makes it easy to track column, method, and system performance across all your chromatography systems.

In this demo, you'll discover:

• The Tetra Data Lakehouse architecture
• 3 illustrative use cases
• Scientific outcomes driven by the Chromatography Insights app

asset-utilization, method-development,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, data-analytics, tetra-data-app,

Video\ \ Accelerating gene therapy workflows: Integration with Bio-Rad ddPCR and Veeva Vault LIMS\ \ Watch video

videos,

2024-07-26

Discover how the Tetra Scientific Data and AI Cloud integrates with Bio-Rad's droplet digital polymerase chain reaction (ddPCR) systems and Veeva Vault LIMS to enable a seamless flow of data between them. The platform also replatforms and engineers the ddPCR data, optimizing it for analytics and AI in downstream applications.

Watch the demo to see this workflow in action.

scientific-it,

data-replatforming, data-replatforming, data-engineering, lab-data-automation,

Video\ \ Accelerating chromatography workflows: Integration with Empower CDS and Veeva Vault LIMS\ \ Watch video

videos,

2024-07-26

Discover how the Tetra Scientific Data and AI Cloud integrates with Waters Empower Chromatography Data System (CDS) and Veeva Vault LIMS to enable a seamless flow of data between them. The platform also replatforms and engineers the chromatography data, optimizing it for analytics and AI in downstream applications.

Watch the demo to see this workflow in action.

scientific-it,

data-replatforming, data-replatforming, data-engineering, lab-data-automation,

Video\ \ Scientific Data Engineering Evolution: Low-Code Scripting with Python\ \ Watch video

videos,

2024-07-15

Discover how low-code scripting on the Tetra Data Platform streamlines data processing and boosts productivity. This feature allows scientific data engineers to easily create pipelines using Python directly within the platform.

In this demo, you'll learn how to label files using a Python script.

scientific-it,

data-replatforming, self-service,

Video\ \ Collecting Data: Versioning and Lineage\ \ Watch video

videos,

2024-07-03

Discover file versioning and lineage within the Tetra Data Platform. The platform allows you to easily monitor each file's entire lifecycle.

In this demo, you'll learn how to:

• Explore comprehensive file details: Access detailed information about each file, such as metadata and source.
• Visualize the complete file journey: Track every step, including upload, indexing, and triggered pipelines.
• Manage file versions: View, upload, and switch between different versions of files with ease.

scientific-it,

data-replatforming, data-engineering, scientific-data-management,

Video\ \ Searching for Data\ \ Watch video

videos,

2024-07-03

Explore the powerful search functionality within the Tetra Data Platform. Learn how to search, filter, and manage your scientific data with ease.

In this demo, you'll learn about:

• Indexed data: Understand what data and metadata are indexed for search within the platform.
• Tetra Data Platform user interface: Use the intuitive UI to search and filter your data.
• Querying in Snowflake: Build and execute queries within Snowflake to extract specific data. ‍
• Querying with Elasticsearch: Leverage Elasticsearch and the platform's API for advanced data searches.

scientific-it,

data-replatforming, scientific-data-management,

Video\ \ Data Access Management\ \ Watch video

videos,

2024-06-27

Discover how the Tetra Data Platform empowers you with robust data access controls, ensuring secure access to your files.

In this demo, you'll learn about:

• Metadata collection and how it helps to define access groups
• Components of data access controls
• Setting up access groups
• Impact of access groups on search results

scientific-it,

data-replatforming, scientific-data-management,

Video\ \ Scientific Data Engineering Evolution: Event Subscriptions\ \ Watch video

videos,

2024-06-26

Event subscriptions allow you to programmatically notify downstream systems of key events within the Tetra Data Platform (TDP). By subscribing to specific TDP events, you can automatically trigger custom apps and business processes to accomplish follow-on actions.

In this demo, you'll learn about:

• Supported event types
• Examples of use cases
• Creating event subscriptions

scientific-it,

Video\ \ Scientific User Experience: Projects\ \ Watch video

videos,

2024-06-19

Data is at the heart of scientific decisions. The Tetra Scientific Data and AI Cloud places the scientist's user experience at the forefront. With its intuitive search and filter features, scientists can easily access, organize, and analyze data.

This demo (Part 3) introduces a new feature called Projects, which helps you quickly organize and access data associated with specific labs, experiments, instruments, or any other type of project. Projects are organized by user-defined attributes and automatically update with new data when relevant files are uploaded to the platform.

Watch the other videos in the series:

• Part 1 – Search Page
• Part 2 – Saved Searches

‍

science,

Video\ \ Scientific User Experience: Saved Searches\ \ Watch video

videos,

2024-06-18

In this demo (Part 2), you'll discover how to store and share search criteria for reuse.

Watch the other videos in the series:

• Part 1 – Search Page
• Part 3 – Projects

science,

Video\ \ Recap: How the cloud and AI are transforming pharmaceutical quality control\ \ Watch video

videos,

2024-06-12

Get a 5-minute recap of our webinar on how a modern, cloud-based platform and laboratory information management system (LIMS) can transform QC to meet the demands of expedited product releases.

This webinar discussed how to:

• Move from a legacy LIMS to an advanced, future-proof, and compliant LIMS in the cloud
• Build a foundational data strategy for digital QC, enabling easier compliance and improved quality
• Empower data-driven decision making through dashboards and AI
• Accelerate batch release with improved right-first-time test execution
• Reduce total cost of ownership while increasing decision speed and confidence using a holistic approach to quality

Watch the entire webinar on demand.

‍

quality-testing, quality-testing,

science, ai-and-data-science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai, quality-and-compliance,

Video\ \ FPLC Data Explorer for Cytiva UNICORN\ \ Watch video

videos,

2024-06-07

This video demonstrates how structured UNICORN data can be analyzed and compared using the FPLC Data Explorer with the Tetra Data and AI Workspace. The Tetra Data and AI Workspace integrates data and data apps in a single environment, so scientists can analyze data intuitively and more efficiently than ever before.

With UNICORN data, scientists can gain valuable insights by visualizing, comparing, and analyzing chromatograms and peak alignments. Secure data storage, automation, and integration allows users to access data globally and significantly reduce non-value-adding activities.

This innovative approach has proven to decrease time to insight from 1 week to 1 day, accelerate basic tasks like overlaying chromatograms from 1 day to 5 minutes, and improve scientific workflow efficiency allowing the reallocation of about 5,000 hours per year of valuable resources.

bioprocess-purification-development, method-development,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Video\ \ Scientific User Experience: Search Page\ \ Watch video

videos,

2024-05-06

In this demo (Part 1), you'll discover how to:

• Navigate the platform’s search page
• Employ hierarchical data views
• Utilize advanced filtering and bulk operations to streamline your workflow

Dive in and discover how our search features can transform your scientific data journey.

Watch the other videos in the series:

• Part 2 – Saved Searches
• Part 3 – Projects

science,

Video\ \ Paradigm Shift in Scientific Data Management and Analysis\ \ Watch video

videos,

2024-05-06

Learn about the paradigm shift in scientific data management as organizations worldwide adopt modern strategies for analytics and scientific AI. This video introduces the shift from on-premises to cloud-based storage, the transformation from file-based to engineered data, and the move to an event-driven processing model. Learn how TetraScience's automated workspace and endpoint-agnostic data cloud empower multi-company collaboration, enabling scientists to transform data into insights that fuel advanced analytics, machine learning, and AI. Discover the future of data management today.

scientific-it, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, scientific-data-management,

Video\ \ Media Formulation Assistant\ \ Watch video

videos,

2024-04-18

How efficiently cultured cells can produce a therapeutic protein depends largely on the media. However, developing an optimal formulation is a complex challenge. The permutations of media components and their concentrations are immense. Scientists often have to screen dozens to hundreds of formulations in the lab to identify the most effective ones. Now, AI can drastically speed up this process.

The Tetra Media Formulation Assistant uses an advanced in silico model to predict the best formulations for a given cell line. This innovation has the potential to reduce wet lab experiments by up to 88 percent.

cell-media-formulation,

science, ai-and-data-science,

data-analytics, scientific-ai, tetra-data-app,

Video\ \ Automating analysis of NGS data with TetraScience and AWS HealthOmics\ \ Watch video

videos,

2024-02-23

Discover how combining the Tetra OS with AWS HealthOmics streamlines and enhances the analysis of next-generation sequencing (NGS) data. This solution provides a comprehensive framework for metadata management, facilitating the analysis of properly contextualized datasets.

biologics-characterization,

scientific-it, science, ai-and-data-science,

data-replatforming, data-replatforming, data-analytics,

Video\ \ Bidirectional data workflows between Benchling and Chromeleon\ \ Watch video

videos,

2024-02-15

Biopharma scientists and IT struggle to ensure a seamless flow of data between an electronic lab notebook (ELN) and a chromatography data system (CDS). They often resort to inefficient manual processes. Consequently, only a fraction of the chromatography data and context is captured, leaving the rest siloed. To make matters worse, most CDS data is trapped in proprietary formats, making it inaccessible.

Bidirectional data workflows using the Tetra Benchling Connector and Tetra Chromeleon Agent solve these challenges and bring round-trip lab automation into scientific workflows. See the tools in action in this video.

For more information, read our blog post.

scientific-it,

data-replatforming, lab-data-automation,

Video\ \ Collecting Data: Files\ \ Watch video

videos,

2024-01-18

Learn how the Tetra Data Platform collects files from scientific instruments and centralizes them in the cloud. This demo covers the following topics:

• Automated data collection
• Automated house cleaning
• Centralized scientific data cloud
• Automated notifications

scientific-it,

data-replatforming, data-replatforming, scientific-data-management,

Video\ \ Collecting Data: Applications\ \ Watch video

videos,

2024-01-15

Discover how the Tetra Data Platform collects data from applications, including chromatography data systems, ELNs, and LIMSs. This demo highlights:

• Automated data collection
• Leveraging of vendor APIs/SDKs
• Contextualization with metadata
• Advanced search

scientific-it, ai-and-data-science,

data-replatforming, data-replatforming, scientific-data-management,

Video\ \ Contextualization with Metadata\ \ Watch video

videos,

2023-12-21

Explore how the Tetra Data Platform contextualizes data to make it findable and accessible. This demo shows how the platform enables users to enrich primary data with metadata through various methods, such as

• Manual addition
• Agent configuration
• Extraction from file names
• Retrieval from registries or applications
• API

scientific-it,

data-replatforming, scientific-data-management,

Fact Sheet\ \ Key Takeaways: Scalable Data Strategies for Scientific AI-enabled Breakthroughs\ \ Download

fact-sheets,

2023-12-19

Get the essentials from an expert discussion on AI featuring AWS and TetraScience.

Artificial intelligence (AI) stands on the brink of revolutionizing the biopharmaceutical industry. It promises to slash time to market, lower costs, mitigate risks, and create novel therapies. However, the main barrier to realizing these benefits is not the development of AI models but rather the quality and accessibility of the scientific data that feeds them.

The recent webinar "Scalable data strategies for scientific AI-enabled breakthroughs" featured insights from industry experts Naveen Kondapalli, Senior Vice President of Product and Engineering at TetraScience, and Himanshu Jain, Healthcare and Life Sciences Strategy Leader at AWS. They delved into the data challenges underlying scientific AI and discussed strategies to overcome them.

In this recap, we summarize four key takeaways from the conversation that will jumpstart your AI journey.

Fact Sheet\ \ Key Takeaways: Scalable Data Strategies for Scientific AI-enabled Breakthroughs\ \ Download

fact-sheets,

2023-12-04

scientific-it, science, ai-and-data-science,

data-replatforming, data-engineering, data-analytics, scientific-ai,

Get the essentials from an expert discussion on AI featuring AWS and TetraScience.

In this recap, we summarize four key takeaways from the conversation that will jumpstart your AI journey.

Video\ \ Tetra Data Platform v3.6: Enhanced data findability\ \ Watch video

videos,

2023-11-27

Learn how Tetra Data Platform v3.6 makes it easier for scientists to find their data on the TetraScience platform. In particular, this video shows how scientists can more easily query for multiple terms. It also shows how they can select elements within Intermediate Data Schema (IDS) files, search for those terms, and find all IDS and raw files that contain those elements, providing greater visibility into raw data than before.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it, science,

data-replatforming, scientific-data-management,

Video\ \ Tetra Data Platform v3.6: Self-service pipelines\ \ Watch video

videos,

2023-11-19

Learn how Tetra Data Platform v3.6 streamlines the process of creating custom pipelines that transform raw scientific data into AI-ready Tetra Data. This video provides two examples of custom pipelines: one adds labels to data; the other also harmonizes, further enriches, and then pushes data to a third-party application. For both examples, the video shows how newly introduced protocol.yml files help simplify pipeline development.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it,

data-replatforming, data-replatforming, data-engineering, self-service,

Video\ \ Tetra Data Platform v3.6: Increased file journey visibility\ \ Watch video

videos,

2023-11-19

See how the file journey timeline capabilities in Tetra Data Platform v3.6 enables platform administrators to visualize file activity in various stages of processing. Using health monitoring, file information, and events timeline pages, users can track Tetra Data creation at any moment and trace files to confirm data integrity.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it,

data-replatforming, data-replatforming, quality-and-compliance, scientific-data-management,

Video\ \ Tetra Data Platform v3.6: Pluggable connectors\ \ Watch video

videos,

2023-11-19

See how the pluggable connector framework provided with Tetra Data Platform v3.6 enables faster integration of scientific instruments and applications with the Tetra Scientific Data Cloud. Teams can take advantage of newly released connectors without having to wait for a platform upgrade. This video shows how a user can install a new connector in the cloud, configure the connector, and then later upgrade the connector to a new version as soon as it’s available.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it,

data-replatforming, self-service,

Video\ \ Tetra Data Platform v3.6: Improvements for scientific data engineers\ \ Watch video

videos,

2023-11-19

Explore some of the new features and enhancements in Tetra Data Platform v3.6 designed to benefit scientific data engineers. This video shows how low-code DataWeave scripting allows engineers to build data pipelines with fewer developer resources than building custom protocols. It also demonstrates how bulk data processing makes it easier to reprocess files after changes to pipeline functionality.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it,

data-replatforming, data-replatforming,

Webinar\ \ A New Paradigm in Bioprocessing Intelligence to Accelerate Time to Market\ \ Register\ \ Watch webinar

webinars,

2023-11-07

Capitalizing on the power of AI for biopharma requires a new approach to data. In this webinar presented by TetraScience and Körber, hear how your company can collect scientific data from all sources across the product life cycle and then transform it into AI-ready data. And you’ll hear how a top 25 global biopharma company is leveraging scientific data in the Tetra Scientific Data and AI Cloud to gain real-time process intelligence to understand sources of variability.  ‍

‍

You’ll also learn how to:

• Generate new insights by visualizing and analyzing data across multiple teams
• Employ advanced analytics to define a scientifically sound chemistry manufacturing and controls (CMC) strategy
• Find the root causes of process deviations by implementing process design and modeling best practices
• Automatically generate reports to facilitate new drug application (NDA) or biologics license application (BLA) filing, good manufacturing practices (GMP), and continued process verification (CPV)

For a few highlights from the webinar, read this Q&A blog post with industry experts and webinar participants Prof. Dr. Christoph Herwig, senior scientific advisor, Körber Business Area Pharma, and Ken Fountain, vice president, scientific applications, at TetraScience.

bioprocess-purification-development,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, data-analytics, quality-and-compliance,

Webinar\ \ Scalable data strategies for scientific AI-enabled breakthroughs\ \ Register\ \ Watch webinar

webinars,

2023-11-06

Artificial Intelligence (AI) has the potential to transform the biopharmaceutical value chain. However, its utility across the enterprise is hampered not by the science but by the data – its quality, quantity, and accessibility. As the volume and complexity of scientific data surge, and with the arrival of generative AI and large language models (LLMs), it has become even more challenging to reduce the gap between raw scientific data and AI-enabled outcomes that are accurate, reliable, and unbiased.

‍

In this webinar, we’ll show how a cloud-native platform, purpose-built for science, and powered by AWS, creates large-scale, liquid data sets that can fuel generative AI models. Migrating raw scientific data to the cloud is insufficient for the meaningful utilization of AI. Only by replatforming and engineering data at scale are biopharma organizations able to deploy accurate LLMs that can radically accelerate and improve scientific outcomes. We’ll also share real-world use cases where generative AI has created novel breakthroughs.

‍

IN THIS WEBINAR YOU’LL LEARN HOW TO:

• Assess the generative AI readiness of your data architecture
• Replatform and engineer scientific data in the cloud using a centralized or federated strategy
• Enable rapid consumption of engineered scientific data while optimizing cloud performance, scale, and cost
• Securely develop and deploy generative AI models to derive scientific insights across multiple use cases such as integrated omics, protein binding, and formulations
• Utilize large datasets with LLMs for predictive analyses in toxicology, and in silico ADMET
• Ensure privacy, security, and transparency through generative AI services

Video\ \ High-Throughput Screening with the Tetra Scientific Data and AI Cloud\ \ Watch video

videos,

2023-10-30

Discover how the Tetra Scientific Data and AI Cloud can simplify data management for high-throughput screening (HTS). This demo video shows how the Tetra Scientific Data and AI Cloud eliminates manual data collection and transformation, as well as the time-consuming process of constructing point-to-point integrations. Using the example of liquid handler and plate reader files, the video shows how the Tetra Scientific Data and AI Cloud automatically:

• Collects instrument files
• Adds relevant contextual information
• Harmonizes files into the vendor-agnostic Tetra Data format
• Distributes files to an ELN

Organizations can then easily reuse Tetra Data in additional analytics, data visualization, and AI applications.

‍

high-throughput-screening,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

Video\ \ Streamlining Data Processing Between an ELN and Lab Equipment\ \ Watch video

videos,

2023-10-30

Learn how the Tetra Scientific Data Cloud can help organizations simplify data processing while employing electronic lab notebooks (ELNs), instrument control software, and visualization tools. Using a small-scale fermentation experiment as an example, this video highlights how the Tetra Scientific Data Cloud can help an upstream processing team reduce manual steps as they create an experiment in an ELN, add metadata, trigger a run, and then automatically capture results as harmonized data back in the ELN. Harmonized data can then be used in a visualization dashboard or other downstream analytics or AI applications.

bioprocess-purification-development,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, lab-data-automation,

Webinar\ \ Lab utilization: How to optimize resources with harmonized scientific data\ \ Register\ \ Watch webinar

webinars,

2023-10-27

TetraScience is joined by Clustermarket and WattIQ for a webinar discussing how to optimize resources with harmonized scientific data in your lab

asset-utilization,

scientific-it, science, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Webinar\ \ Taking Waters Empower to New Heights with the Tetra Scientific Data Cloud\ \ Register\ \ Watch webinar

webinars,

2023-10-27

Learn how the Tetra Scientific Data and AI Cloud augments the capabilities of the Waters Empower chromatography data system (CDS)—as well as other scientific instruments and applications. This webinar video explains how the Tetra Scientific Data and AI Cloud can:

• Automatically collect data from Empower
• Contextualize data
• Harmonize data into vendor-agnostic, AI-ready Tetra Data
• Verify data quality and enrich data
• Simplify searches for particular files and enable exploration of SQL tables
• Allow users to analyze data with tools such as TIBCO Spotfire
• Publish data to other data science, visualization, and AI applications

‍

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Video\ \ IDBS E-WorkBook Integration with the Tetra Scientific Data and AI Cloud\ \ Watch video

videos,

2023-10-27

Learn how the Tetra Scientific Data and AI Cloud streamlines data processing workflows, eliminating the tedious manual steps of transferring data from scientific instruments to electronic lab notebooks (ELNs). This demo video shows how teams can automatically transfer raw data from instruments to the Tetra Scientific Data Cloud; transform data into the standardized JSON-based Tetra Data format; and then easily initiate the automatic transfer of harmonized files to IDBS E-WorkBook using an integrated connector from TetraScience.

scientific-it,

data-replatforming, data-engineering, lab-data-automation,

Video\ \ Accelerating Batch Release with the Tetra Scientific Data and AI Cloud\ \ Watch video

videos,

2023-10-26

Learn how the Tetra Scientific Data and AI Cloud uses automation to eliminate error-prone, inefficient manual transfer of information between instruments and informatics systems. Using a titration experiment workflow as an example, this video shows how the Tetra Scientific Data and AI Cloud automates transfer of sample information, weight data, and titration experiment results between Signals Notebook and both LabX and tiamo instrument software.

quality-testing, quality-testing,

scientific-it, science, quality-and-regulatory,

data-replatforming, lab-data-automation,

Video\ \ Making Scientific Data AI Ready\ \ Watch video

videos,

2023-10-18

Too many biopharma organizations spend excessive resources manually transferring data among instruments and applications, or constructing rigid point-to-point data connections. They waste significant time curating and preparing data for advanced analytics and AI.

Learn how the Tetra Scientific Data Cloud can help you harness the full value of your scientific data and improve scientific outcomes by accelerating the scientific data journey, enabling end-to-end scientific workflows, and capitalizing on the power of AI/ML.

This video provides a walkthrough of the Tetra Scientific Data Cloud, highlighting how it enables organizations to:

• Automatically collect and centralize data for easy data access
• Contextualize data with rich metadata for immediate data retrieval
• Standardize and harmonize data and metadata for comparison and visualization
• Prepare data for advanced analytics and AI

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

White Paper\ \ The data tenets of Pharma 4.0\ \ Download

white-papers-and-ebooks,

2023-09-12

In response to increasing demands on biopharmaceutical manufacturing facilities, many companies are looking toward “smart” factory, or Pharma 4.0, solutions. However, most biopharmas lack the data maturity to achieve smart factory capabilities.

The artificial intelligence (AI), advanced analytics, and enterprise interconnectivity that enable Pharma 4.0 principles cannot function without a data infrastructure that provides large-scale, liquid, purpose-engineered, and compliant data.

In this white paper, we review why data maturity is no longer an option for biopharmaceutical manufacturers and how the four data tenets of Pharma 4.0 enable data maturity, which enables manufacturing plant maturity. We then discuss precisely how mature data feeds into numerous smart factory use cases, including:

• Optimized tech transfer
• Collaborative data supersets
• Advanced process controls
• Continuous manufacturing
• Continued process verification
• Digital quality monitoring
• Recursive data exchange
• Real-time release testing
• Agile manufacturing
• Predictive maintenance

If you want to know how TetraScience can help you achieve data maturity, contact our team or request a demo today.

cxo-collaboration,

scientific-it, science, ai-and-data-science, quality-and-regulatory,

data-analytics, scientific-ai, quality-and-compliance,

Fact Sheet\ \ Verification and Validation Strategy\ \ Download

fact-sheets,

2023-08-24

quality-and-regulatory,

data-replatforming, quality-and-compliance,

The purpose of this document is to outline the Verification and Validation (V&V) strategy employed by TetraScience to ensure the Tetra Data Platform (TDP) performs as intended against user requirements. By aligning with this strategy, customers can leverage TetraScience deliverables to significantly reduce in-house validation efforts. It should be noted that a customer purchasing this package is still responsible for defining and ensuring the “last mile” validation of their own specific configuration of the platform, as well as defining sufficient standard operating procedures to operate and secure the system.

‍

Fact Sheet\ \ Ensuring data integrity with TetraScience\ \ Download

fact-sheets,

2023-08-14

scientific-it, quality-and-regulatory,

data-replatforming, quality-and-compliance,

Biopharmaceutical organizations need a robust approach to maintaining data integrity. The value, volume, and variability of their scientific data demand it.

ALCOA++ is a set of principles used in the life sciences and other regulated spaces to ensure data integrity. Learn how the Tetra Scientific Data and AI Cloud™ upholds ALCOA++ throughout the entire scientific data journey, from data collection to analysis.

Fact Sheet\ \ Creating data in the Allotrope Simple Model (ASM) at scale using the TetraScience Intermediate Data Schema (IDS)\ \ Download

fact-sheets,

2023-08-14

scientific-it,

data-replatforming, data-engineering,

A few years after TetraScience decided to build an Intermediate Data Schema (IDS) on JSON, Allotrope Foundation developed the Allotrope Simple Model (ASM), which also uses JSON.

If your organization is interested in adopting the ASM, you can use the Tetra Scientific Data and AI Cloud to transform your data into the ASM at scale. To fine-tune this process, TetraScience collaborated with a top 25 pharma company to integrate primary lab data into the cloud, engineer the data into our IDS, and then transform data into the ASM.

Download this fact sheet to learn how and why to transform data into the ASM by first converting files to the TetraScience IDS.

Video\ \ How to Free Your Data from Isolation\ \ Watch video

videos,

2023-07-25

Get a quick recap of our webinar exploring how dispersed scientific data can easily be accessed, enriched, and harmonized for analytics and AI/ML with the Tetra Scientific Data Cloud™.

Featured case studies include:

• High-throughput screening
• Collaboration with contract research organizations (CROs)
• Batch release
• Instrument utilization

‍

Watch the entire webinar on demand.

asset-utilization, cxo-collaboration, high-throughput-screening, quality-testing,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering,

Fact Sheet\ \ Enabling AI/ML through data maturity\ \ Download

fact-sheets,

2023-07-10

scientific-it, ai-and-data-science,

data-replatforming, data-engineering, data-analytics, scientific-ai,

AI/ML-powered science is rapidly advancing biopharmaceutical science. However, biopharma companies have a problem. AI/ML is not possible without connected ecosystems, centralized data stores, and harmonized, enriched, analytics-ready data. In other words, biopharmas lack the data maturity AI/ML requires to function. That’s where TetraScience comes in.

‍

Read in this fact sheet, how TetraScience can help unlock your data and unleash your AI/ML with the Tetra Scientific Data and AI Cloud.

Infographic\ \ Top 10 Benefits of Sciborgs\ \ View infographic

infographics,

2023-06-30

Digital transformation only matters if it delivers results. It takes the right combination of technology and know-how. Tetra Sciborgs have both. Learn how our end-to-end, "Cloud and Sciborg" offering benefits biopharma throughout the entire value chain.

Read the solution brief for a deeper dive.

scientific-it, science, ai-and-data-science, quality-and-regulatory,

sciborgs,

Webinar\ \ How to transform scientific data workflows with Sciborgs\ \ Register\ \ Watch webinar

webinars,

2023-06-30

Learn how Sciborgs identify the most painful processes for scientists and design solutions with the Tetra Scientific Data and AI Cloud™. Watch this webinar to learn how Sciborgs:

• Support you in the identification of suitable use cases to uncover new, high-impact insights
• Help you achieve faster, better implementation of scientific data solutions that enable all stakeholders (scientists, data scientists, data engineers, IT staff)​​​​​​​
• Guide you through replatforming to replatform scientific data to the cloud and leverage it for improved scientific outcomes

Fact Sheet\ \ TetraScience: The Scientific Data Cloud Company\ \ Download

fact-sheets,

2023-06-21

scientific-it, science,

method-development, cxo-collaboration, cell-profiling-and-sorting, high-throughput-screening,

data-replatforming, data-engineering,

The Tetra Scientific Data Cloud helps accelerate discovery throughout the product lifecycle. Read this case study to see how TetraScience solved data challenges within:

• Enterprise biopharma
• Gene-therapy CDMO
• Biotech

The case study fact sheet also covers specific use cases where TetraScience integrations have catalyzed discovery and improved process efficiency. These include:

• Hamilton Microlab STAR (Sequential Transfer and Aliquot Robot) liquid handler
• ÄKTA Unicorn
• PerkinElmer Envision
• Tecan
• Titian
• Dotmatics
• Novocyte Quanteon Cytometer
• Cytoflex LX Flow Cytometer

Find out why 12 out of 25 top biopharmas trust TetraScience with their data by downloading your copy today.

Video\ \ Ensuring a safe (and compliant) ride for your data\ \ Watch video

videos,

2023-06-20

While hot air balloons and regulatory compliance may seem worlds apart, this video explores how the preparation, testing, and validation required for ballooning provide a compelling metaphor for ensuring compliance.

Learn precisely how TetraScience uses a structured process for quality and compliance controls. This includes:

• A quality management system that determines if TetraScience can safely contain, hold, and manage data that is intended for GxP use downstream (ISO 9001)
• A software development lifecycle that ensures our business operates both appropriately and ethically and enables us to build our cloud services in a standardized, repeatable way
• A verification suite for function, unit, and downstream testing that ensures “fit for purpose”
• End-to-end use case testing where TetraScience runs data through simulations of field usage (GAMP 5

quality-and-regulatory,

data-replatforming, data-engineering, quality-and-compliance,

Fact Sheet\ \ TetraScience Course Catalog\ \ Download

fact-sheets,

2023-06-20

scientific-it, ai-and-data-science,

Our comprehensive catalog of courses in TetraU, is your gateway to acquiring invaluable knowledge and expertise on the Tetra Scientific Data and AI Cloud. Whether you're a beginner seeking to explore the foundations or an experienced professional looking to enhance your skills, our carefully curated selection of courses has something for everyone.

• Dive into engaging modules led by TetraScience experts, designed to deliver practical insights and best practices.
• Utilize foundational and in-depth modules along with hands-on workshops, offering a blend of knowledge and real-world application.
• Ensure you're equipped with expertise to help you thrive while using the Tetra Scientific Data and AI Cloud.

Don't miss out on this opportunity to unlock your potential and excel in your endeavors. Review the catalog and enroll in TetraU to embark on an exciting journey of growth and success!

Video\ \ Accelerate Scientific Insights Through the Tetra Partner Network\ \ Watch video

videos,

2023-06-06

Learn how the TetraScience partnership with PerkinElmer Informatics accelerates scientific insights for biopharmaceutical customers. This partnership connects the full PerkinElmer Informatics Signals Research™ Suite to the Tetra Scientific Data Cloud™, creating a single source for all laboratory information that benefits scientists and IT departments. By focusing on solving customer challenges, this partnership demonstrates how two leading companies work together to maximize scientific data for improved outcomes.

scientific-it, science,

data-replatforming, data-analytics,

Video\ \ Meet our Sciborgs\ \ Watch video

videos,

2023-06-06

Meet Katja and Tal, two of our Sciborgs currently helping customers accelerate time-to-value with the Tetra Scientific Data and AI Cloud™.

In this video, you will learn about their background, what makes scientific business analysts and data architects unique, and why having Sciborgs work directly with scientists brings so much value to customers.

Tetra Sciborgs, like Tal and Katja, are an elite team of classically trained scientists with technology expertise and industry-leading experience in:

• Speeding time-to-value when deploying the Tetra Scientific Data and AI Cloud
• Identifying new opportunities to improve the use of your scientific data
• Augmenting science by leveraging industry best practices

Watch the video to meet our Sciborgs.

For a detailed look at our Sciborgs, read our blog about how Sciborgs Drive Better Science.

scientific-it, science,

sciborgs,

Webinar\ \ Calibrating Your Scientific Data Strategy Applying FAIR Principles in the Cloud\ \ Register\ \ Watch webinar

webinars,

2023-06-05

A new research survey of 500 biopharma executives, commissioned by TetraScience and AWS, reveals why life sciences companies need to rethink their data platforms. Replatforming scientific data to an open cloud platform while transforming the data to FAIR (Findable, Accessible, Interoperable, Reusable) principles significantly impacts three key industry drivers:

• Speed: Learning from experiments faster, reducing time to market for final molecules.
• Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI).
• Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

‍The speakers will also share insights and updates from the Bio-IT World Conference. Whether you’re just getting started or are developing the next phases of your replatforming strategy, this webinar will provide you with essential information and key insights.

‍

‍ Learning Objectives: ‍

• Competitive advantages to developing a scientific data cloud strategy
• Best approaches to getting started with replatformed scientific data in the cloud
• Long-term advantages, including moving into ML, AI, and advanced analytics

scientific-it, science, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai, sciborgs,

Webinar\ \ Connecting Science: How an open, collaborative network of life-science vendors is transforming biopharma\ \ Register\ \ Watch webinar

webinars,

2023-06-05

Collaboration is commonly the basis for scientific innovation. Collaboration between life science vendors is less common.

The success of the biopharmaceutical industry depends upon leveraging scientific knowledge derived from the best instrumentation and software available, which produce a multitude of disconnected data formats.  Biopharma customers are now demanding that the vendor industry work collaboratively to connect their scientific workflows.

This webinar will provide valuable insights for biopharmaceutical scientists, lab directors, IT professionals, and life science vendors who want to learn:

• How an open network of life-science vendors accelerates scientific outcomes
• Before and after impact on scientific workflows, such as protein purification and cell profiling by flow cytometry
• The cloud and data engineering technologies that enable data liquidity independent of instrument modality
• How life science vendors are replatforming, moving from a closed to open ecosystem model focused on maximizing the value of scientific data

cell-profiling-and-sorting, high-throughput-screening,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Webinar\ \ Tetra in Action: Optimizing High-Throughput Screening Data Workflows\ \ Register\ \ Watch webinar

webinars,

2023-06-02

High-throughput screening (HTS) offers the promise of identifying higher-quality leads faster and bringing ground-breaking drugs to the market. Unfortunately, the HTS processes at many companies rely on manual, error-prone processes to collect data sets, add critical metadata, and transform data to be usable by informatics applications and analytics.

You will learn:

• How scientific data challenges reduce the effectiveness of high-throughput screening workflows
• Ways the Tetra Scientific Data and AI Cloud™ automates processes, improves quality, and enables insights
• High-throughput screening scientific data best practices

This webinar features a product demo where you can see first hand how the Tetra Scientific Data and AI Cloud can help your organization with its HTS workflows.

high-throughput-screening,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

Webinar\ \ How to Free Your Data From Isolation: Learn Why Biopharma Leaders are Investing in the Cloud\ \ Register\ \ Watch webinar

webinars,

2023-05-02

Our speakers explore how science-based organizations are producing more data than ever before, and why digital transformation strategies to leverage this data, like AI and machine learning, require the right infrastructure of connected, searchable, and harmonized data.

The presentation features real-world case studies in high-throughput screening (HTS), contract research organization (CRO) data management, batch release and testing, as well as the digitalization of a contract development and manufacturing organization (CDMO).

asset-utilization, cxo-collaboration, high-throughput-screening, quality-testing,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-engineering, quality-and-compliance,

Video\ \ Andelyn - the Digital CDMO\ \ Watch video

videos,

2023-04-17

Andelyn Biosciences is a biopharmaceutical CDMO, pioneering solutions that turn hope into reality™.

In this short video, Bryan Holmes, Vice President of Digital and Technology Solutions at Andelyn, discusses how despite advances in technology, many biopharmaceutical companies still rely on manual data processing.

See how Andelyn is solving this challenge by streaming data to the Tetra Scientific Data Cloud™. As a result, Andelyn can aggregate data faster, provide better insights, and accelerate development timelines and bring more treatments to more patients.

scientific-it, science,

Fact Sheet\ \ Tetra Scientific Data and AI Cloud for Executives\ \ Download

fact-sheets,

2023-03-22

Biopharma executives need to accelerate discovery, advance better drug candidates, and deliver a more robust portfolio. This one-page guide features real-world case studies from leading biopharmaceutical companies demonstrating how the Tetra Scientific Data and AI Cloud™ has proven capabilities in:

• Solving immediate data problems and accelerating workflows
• Improving use cases across the value chain (HTS, chromatography, CDMO automation, etc.)
• Identifying hidden data problems that TetraScience can solve
• Reducing cost, improving productivity, and accelerating time to scientific insight

Fundamental breakthroughs in life sciences are possible for the biopharmaceutical organizations that fully harness their scientific data. Read our guide and discover how we can help.

Video\ \ Tetra Data Overview Video\ \ Watch video

videos,

2023-03-15

Accelerating biotech and biopharma research, development, and manufacturing requires a purpose-engineered platform for ingesting and transforming data, making it Compliant, Harmonized, Liquid, and Actionable.

scientific-it, science, ai-and-data-science,

data-engineering,

Infographic\ \ Why biopharma is prioritizing data to build better medicines\ \ View infographic

infographics,

2023-03-01

Co-sponsored by:

We spoke with 500 biopharma executives to discover how industry leaders plan to deliver better therapeutics to patients faster. Their answer was clear. Maximize the value of scientific data with cloud-enabled FAIR data to improve three key industry drivers.

• Speed: Learning from experiments faster, reducing time-to-market for final molecules
• Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI)
• Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

Explore our key findings by downloading this infographic or see the full research report.

scientific-it, science, ai-and-data-science,

Video\ \ One Platform for All Scientific Data (Scientific Data is Complex, Managing It Doesn’t Have to Be)\ \ Watch video

videos,

2023-02-16

Biopharma organizations continue to spend time and money managing scientific data scattered across disconnected silos, ad hoc file shares, and legacy solutions. Why not future-proof with one open platform for all scientific data?

The Tetra Scientific Data Cloud™, purpose built for scientific data, enables IT to say goodbye to countless hours spent maintaining dozens or hundreds of instruments and informatics software applications. With open and centralized data in the cloud, scientists are able to search faster and more easily, create new workflows, and gain insights from analytics, visualizations, and AI/ML. Unlock innovation with the Tetra Scientific Data Cloud.

Watch the video to see how the Tetra Scientific Data Cloud simplifies data management and unlocks innovation.

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

Solution Brief\ \ Advance Scientific AI with Tetra Sciborgs\ \ Download

solution-briefs,

2023-02-09

In order to help our customers maximize the value of the Tetra Scientific Data and AI Cloud™, TetraScience created Tetra Sciborg packages. These offerings combine a library of deployment-ready, Scientific AI use cases, supporting artifacts and deliverables, and the engagement of Tetra Sciborgs—experts in science, data, and AI. They provide best practices derived from long-term industry expertise to accelerate and improve scientific discovery, development, and manufacturing. They help customers improve lab productivity through data automation and Scientific AI, derive new insights, and accelerate scientific outcomes.

Read this solution brief to understand how Tetra Sciborgs can minimize the burden on your teams while maximizing the value of your data through Scientific AI as well as the ROI of your deployment.

scientific-it, science, ai-and-data-science, quality-and-regulatory,

sciborgs,

eBook\ \ Unlock the full potential of your scientific data\ \ Download

white-papers-and-ebooks,

2022-12-21

Findable, Accessible, Interoperable, and Reusable (FAIR) data helps life science organizations to drive innovation. This process requires collecting, transforming, and standardizing scientific data to make it searchable, ready for analytics, and able to flow freely among instruments and applications.

This ebook — Unlock the Full Potential of Your Scientific Data — describes how harmonized scientific data in the cloud can help biopharma companies make the most of their data.

You'll learn:

• The challenges of legacy data
• The steps in the scientific data journey
• The essential properties of Tetra Data

Download your copy today to gain a deeper understanding of how Tetra Data eliminates manual data processes and can help your organization gain insights to accelerate ground-breaking treatments.

scientific-it, science, ai-and-data-science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai, quality-and-compliance,

Fact Sheet\ \ How scientific IT benefits from TetraScience\ \ Download

fact-sheets,

2022-12-21

scientific-it,

data-replatforming, data-engineering,

Life sciences IT across R&D, Quality, and Manufacturing face several challenges that impede their ability to collect, manage, and distribute data to their teams. These challenges include:

• Scattered, disconnected silos that make accessing and utilizing scientific data difficult
• Maintaining and developing custom, point-to-point instrument and application integrations
• Time and expertise to build in-house data solutions

This guide for scientific IT provides a side-by-side comparison of data access, technology flexibility, and solution scalability before and after TetraScience. You will learn how the Tetra Scientific Data and AI Cloud addresses these scientific data challenges and enables you to achieve better and faster science.

Fact Sheet\ \ How scientists can innovate with TetraScience\ \ Download

fact-sheets,

2022-12-01

scientific-it, science,

method-development, cxo-collaboration, cell-profiling-and-sorting, high-throughput-screening,

data-replatforming, data-engineering,

Scientists face several data challenges that impede workflow efficiency and their ability to access and analyze experimental results. These challenges include:

• Scattered scientific data across instruments and applications
• Inaccessible or poor-quality experimental data
• Manual processes to move and prepare scientific data

This guide for scientists provides a side-by-side comparison of scientific data before and after TetraScience. You will learn how the Tetra Scientific Data and AI Cloud addresses scientific data challenges and enables you to achieve better and faster science.

Webinar\ \ The Role of Digital CDMOs in Biopharma\ \ Register\ \ Watch webinar

webinars,

2022-11-23

Watch this webinar with Andelyn Biosciences, a full-spectrum CDMO, to learn about their critical initiative of a Connected Plant that will enable biopharma to replatform their scientific data and workflows to the cloud. This innovative connected approach represents a generational movement transforming the way therapeutics are developed, validated, and brought to market.

‍

scientific-it, quality-and-regulatory,

data-replatforming, data-engineering, quality-and-compliance,

Fact Sheet\ \ Tetra Data Platform 21 CFR Part 11 Assessment\ \ Download

fact-sheets,

2022-11-22

quality-and-regulatory,

quality-and-compliance,

Following the US FDA’s 21 CFR Part 11 regulation is a critical element for FDA-regulated industries to ensure compliance. In this document we assess the different sections regarding the compliance of the Tetra Data Platform with the requirements for Electronic Records and Electronic Signatures as defined in the guidance document. It helps identify the coverage and responsibility of each of these sections.

Research Report\ \ State of Digital Lab Transformation Industry Survey: Why Biopharma Is Replatforming To The Cloud\ \ Download

research-reports,

2022-11-16

TetraScience teamed up with Pharma IQ to survey biopharma industry insiders and ask about their organizations’ strategies for cloud adoption, digital labs, FAIR data, and the use of artificial intelligence and machine learning (AI/ML).

The 2022 State of Digital Lab Transformation in Biopharma Report shows the importance of digitalization in the pharmaceutical industry and makes a strong case for cloud data platform automation. Industry leaders identify this move as critical in order to improve scientific outcomes and accelerate discovery.

Key findings include:

• 87% of survey respondents claim that maintaining point-to-point, DIY integrations is burdensome.
• 74% of biopharma organizations are replatforming their scientific data to the cloud to enable scale, resilience, and faster time to market.
• 49% of bench scientists' time is spent on manual data retrieval, cleansing, and transformation.

Basic data-to-cloud replatforming is accelerating, but life sciences organizations still face obstacles. About half of the respondents of our survey say that “less than half” or “none” of their data can now be considered FAIR.

Accelerate Digital Transformation in Biopharma

A cloud-based scientific data platform can enable life sciences organizations to speed lab digitization, provide FAIR data to accelerate research and scientific outcomes– adapting to their changing business needs. Download our full report and discover why these initiatives of data automation in the cloud are gaining momentum in biopharma.

scientific-it,

data-replatforming, data-engineering, data-analytics, scientific-ai,

Research Report\ \ AWS & TetraScience: 500 Pharma Executives Research Survey\ \ Download

research-reports,

2022-11-16

A groundbreaking research survey of 500 biopharma executives reveals why life sciences companies need to rethink their data platforms. Replatforming scientific data to an open cloud platform while transforming the data to FAIR (Findable, Accessible, Interoperable, Reusable) principles impacts three key industry drivers:

• Speed: Learning from experiments faster, reducing time to market for final molecules
• Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI)
• Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

Executives say that replatforming scientific data to an open cloud platform would accelerate time to market by 65%.

Each one-day delay in getting a drug or therapeutic to market costs biopharmas an average of $1.26 million in lost revenue and/or loss of first-mover advantage.

Slowness to market and lost revenue are not the end of the story. Cloud ‘laggards’ spend 3.7X more on inefficient infrastructure compared to cloud leaders.

Download this report to calibrate your scientific data strategy.   Learn how utilizing FAIR data in the cloud is a game changer.

scientific-it, science,

Solution Brief\ \ Accelerating high-throughput screening insights with the Tetra Scientific Data and AI Cloud\ \ Download

solution-briefs,

2022-10-04

Biopharma organizations use high-throughput screening (HTS) to parallelize experiments to identify higher-quality drug discovery and development leads more quickly.

HTS currently relies on manual, error-prone process to collect and transform scientific data into formats capable of being used within informatics applications or analytics, delaying downstream drug development.

In this solution brief, you will learn how the High-Throughput Screening Tetra Scientific Application brings cohesion to your HTS workflows by:

• Increasing screening throughput through end-to-end automation
• Eliminating error-prone, manual updates to inventory and registration systems
• Harmonizing data across multiple formats to enable analytics and visualizations, such as SAR and in-silico evaluations
• Providing a centralized historical record and scientific context to scientific data and results

high-throughput-screening,

scientific-it, science,

data-replatforming, data-engineering,

White Paper\ \ Manual no more: Automating the scientific lifecycle\ \ Download

white-papers-and-ebooks,

2022-09-30

Leading biopharma organizations are reimagining research, development, and delivery of life-saving therapeutics through automated data acquisition, wrangling, and transformation.

This white paper — Paving the Way to Automated Data Acquisition and Transformation — describes how this world of data science automation has become a reality.

You will learn:

• The benefits of findable, accessible, interoperable, reusable (FAIR) data in the cloud
• The importance of multi-point productized integrations
• The steps to automate the scientific data lifecycle

Why End-to-end Data Lifecycle Automation Is Critical

With an automated end-to-end data lifecycle, harmonized scientific data flows freely throughout the biopharma data pipeline to accelerate innovation and support quality. Decoupling instrument control from data publishing enables scaled-up data science automation.

We discuss these benefits in detail in our white paper:

• With an automated and remote control interface to interact with instruments, organizations don't need to worry about collecting data with the heterogeneous and fragmented nature of lab data systems.
• With automated data acquisition across different instruments and lab systems, scientists no longer have to manually locate, transfer, and clean the data.
• With data pipelines for automated processing and interactive analysis, the data is automatically prepared, analyzed, and presented to the researcher, driving faster decision-making.

The Tetra Scientific Data and AI Cloud automates the collection and transformation of data in a format that is compliant, harmonized, liquid, and actionable. See what a modern-day end-to-end data pipeline looks like with TetraScience. Read our entire white paper now.

scientific-it, science,

data-replatforming, data-engineering,

Solution Brief\ \ Tetra Scientific Data and AI Cloud\ \ Download

solution-briefs,

2022-09-26

Data holds the key to biopharma’s scientific breakthroughs. But today that data is disconnected, inaccessible, and unstandardized. Organizations are forced to perform costly, time-consuming, and error-prone manual data transcriptions and transformations. TetraScience is changing that.

‍

The Tetra Scientific Data and AI Cloud™ collects, centralizes, and harmonizes scientific data from R&D, manufacturing, and QA/QC, to accelerate and improve scientific outcomes.

• Increase scientific innovation and productivity
• Reduce costs and compliance risk
• Accelerate time-to-insight and outcomes

‍

Whether you’re looking to power your analytics and AI/ML, realize the lab of the future, or streamline common use cases, the Tetra Scientific Data and AI Cloud was purpose-built for your workflows.

scientific-it,

Fact Sheet\ \ A science-led approach\ \ Download

fact-sheets,

scientific-it, science,

sciborgs,

Maximizing ROI from scientific data and workflow solutions hinges on aligning IT, scientific, and data science teams. However, many organizations struggle with limited resources, best practices, and expertise in new technologies.

Tetra Sciborgs, our elite team of experts, address these challenges by bridging gaps between departments, identifying high-impact scientific use cases, and developing strategies to optimize data utilization and AI readiness. This approach boosts the value of Tetra Scientific Data and AI Cloud™ deployments by up to 10x.

Blog\ \ Build Your Own Scientific App - No Code Required\ \ Read blog

blog,

AI can write the app. What matters is what it's building on. See how governed scientific data changes what's possible when scientists and engineers build with AI.

2026-08-06

Blog\ \ Ingest Early and Broadly. Develop Use Cases in Parallel\ \ Read blog

blog,

AI roadmaps slip when ingestion waits for a perfect use case. Learn how leading biopharma teams onboard instruments early while co-developing high‑value use cases.

2026-03-18

contextualization; harmonization; data-analytics; scientific-AI,

scientific-IT; science; AI-and-data-science,

Blog\ \ Find Any Experiment. Without Moving A Single File\ \ Read blog

blog,

TetraScience indexes scientific data across instruments, shared drives, and archives — without moving files or provisioning new storage. Watch the live technical showcase to see how it works.

2026-03-16

data-and-analytics; contextualization; integration,

scientific-it; science; ai-and-data-science,

Blog\ \ From Data to Decisions: Why Scientific IT Needs Operational Intelligence\ \ Read blog

blog,

TetraScience's Operational Intelligence suite transforms platform data into actionable insights that accelerate scientific workflows, optimize costs, and demonstrate ROI through real-time monitoring, strategic analytics, and AI-powered recommendations.

2026-01-07

Blog\ \ Review by Exception: The Blueprint for the Quality Lab of the Future with Real-Time Batch Release\ \ Read blog

blog,

Review by Exception: The Blueprint for the Quality Lab of the Future with Real-Time Batch Release — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2025-12-02

Blog\ \ NVIDIA GTC DC Takeaways for Biopharma: Sovereign AI, Physical AI, and the Data Work That Pays Off\ \ Read blog

blog,

Takeaways from NVIDIA GTC DC: How AI factories, sovereign AI, and data readiness are reshaping biopharma and accelerating scientific discovery.

2025-10-31

Blog\ \ Introducing Tetra Workflows: Automate, Orchestrate, and Elevate Your Scientific Data\ \ Read blog

blog,

Discover how Tetra Workflows automates scientific data from instruments to insights, boosting speed, accuracy, and compliance across your lab.

2025-08-12

data-replatforming, data-engineering, lab-data-automation, self-service,

scientific-it, science,

Case Study\ \ Driving efficiency with a future-proof platform and self-service pipelines\ \ Download

case-studies,

2025-08-06

scientific-it,

data-replatforming, data-engineering, self-service,

Discover how Shape Therapeutics (ShapeTX) modernized its scientific data strategy to accelerate innovation in RNA therapy.

By adopting the TetraScience Scientific Data Foundry, ShapeTX broke down fragmented data silos, enabled teams with self-service tools, and built a scalable foundation for AI-driven discovery.

In this case study, you'll learn how ShapeTX can now:

• Share data on a future-proof data platform
• Create, manage, and deploy code in their own CI/CD framework
• Leverage self-service pipelines for smoother and faster pipeline creation
• Increase IT efficiency with responsive support from the TetraScience enablement team

Case Study\ \ Case Study Highlights: Data Replatforming and Engineering\ \ Download

case-studies,

2025-07-23

scientific-it, science, ai-and-data-science, quality-and-regulatory,

data-replatforming, data-engineering,

Modern biopharma generates vast volumes of scientific data. But in raw, siloed form, its value is severely limited. To unlock its full potential, data must be replatformed and engineered.

This case study collection showcases how leading organizations are utilizing the Tetra Scientific Data and AI Cloud to replatform and engineer their scientific data—driving productivity, efficiency, and scalability across the value chain.

Case Study\ \ Case Study Highlights: Data Analytics and Scientific AI\ \ Download

case-studies,

2025-07-23

scientific-it, science, ai-and-data-science, quality-and-regulatory,

data-analytics, scientific-ai, tetra-data-app,

This case study collection shows how top biopharmas are turning replatformed and engineered data into analytics- and AI-powered insights with the Tetra OS.

Explore how dashboards, predictive models, and advanced analytics are reshaping R&D, CMC, and QC.

Blog\ \ Automate Column Usage and Logbook Reports with Chromatography Insights \ \ Read blog

blog,

Replace paper and Excel logbooks with automated reporting. Chromatography Insights transforms how you track column usage and performance.

2025-06-25

data-replatforming, data-engineering, data-analytics, tetra-data-app,

science, quality-and-regulatory,

Blog\ \ Accelerating the Scientific AI Revolution: Key Insights from VivaTech 2025\ \ Read blog

blog,

AI can transform biopharma—but only if data is ready. Insights from TetraScience, NVIDIA, and Sanofi at VivaTech 2025 on breaking silos and enabling innovation.

2025-06-19

scientific-ai,

ai-and-data-science,

Blog\ \ Archive and Restore Chromatography Data at Enterprise Scale\ \ Read blog

blog,

Modernize chromatography data with automated archival and restore—vendor-agnostic, searchable, audit-ready, and built for analytics at enterprise scale.

2025-06-17

data-replatforming,

scientific-it, science,

Customer Story\ \ Scaling mRNA stability analysis with automated chromatography data workflows\ \ Download

case-studies,

2025-05-02

mrna-synthesis,

scientific-it, science,

data-replatforming, data-engineering,

A leading biopharma relied on reversed-phase ion-pair (RP-IP) chromatography to assess mRNA stability. However, manual peak detection slowed throughput and introduced variability into a critical analysis.

To scale and streamline its chromatography workflow, the company partnered with TetraScience. As a result, the team:

• Saved up to 60 minutes of hands-on time per assay by automating data processing
• Reduced time to analysis by up to 24 hours through automated data transfer
• Enriched data with contextual metadata to unlock deeper insights
• Improved model performance through continuous feedback-driven learning

Blog\ \ Lab of the Future USA 2025: Key Takeaways and Industry Insights\ \ Read blog

blog,

Explore how biopharma is embracing AI, data-centric ecosystems, and business-led product teams to drive digital transformation and accelerate scientific outcomes.

2025-03-20

scientific-it, science, ai-and-data-science,

Customer Story\ \ Streamlining cross-interaction chromatography for faster antibody discovery\ \ Download

case-studies,

2025-03-14

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

Researchers at a top biopharma relied on inefficient manual steps to record and analyze cross-interaction chromatography (CIC) data. The complexity of the process discouraged them from running CIC assays, slowing discovery.

The TetraScience Scientific Data Foundry transformed their workflow with automation, data engineering, and seamless LIMS/ELN integration. Scientists can now focus on research instead of data processing.

With the Data Foundry, they:

• Saved 3 to 4 hours per run by eliminating 384 manual steps
• Increased assay throughput
• Improved data accuracy by reducing errors and inconsistencies
• Enabled future use of data for advanced analytics and AI

Blog\ \ File-Based Scientific Data and the Tetra File-Log Agent\ \ Read blog

blog,

Learn how the Tetra File-Log Agent streamlines scientific data workflows with automated uploads, contextualization, and efficient file management.

2025-02-14

data-replatforming, data-replatforming,

scientific-it,

Blog\ \ Evolving the Scientific Data Engineering Experience in TDP\ \ Read blog

blog,

Learn how TetraScience's enhanced pipeline UX and versioning features empower biopharma data teams to build, test, and deploy reliable data pipelines faster.

2025-01-22

self-service,

scientific-it,

Blog\ \ Enhancing Metadata Governance Traceability and Centralized Management for Labels\ \ Read blog

blog,

Explore how the latest Tetra Data Platform features enhance metadata governance with improved traceability for label changes and streamlined label management.

2025-01-16

data-replatforming, compliance,

scientific-it,

Blog\ \ Digitize biopharma weighing workflows with the Tetra Data Capture App\ \ Read blog

blog,

Discover how to digitize weighing workflows in biopharma labs with a lightweight, vendor-agnostic, and scalable data capture app.

2025-01-15

data-replatforming, data-replatforming, quality-and-compliance, tetra-data-app,

scientific-it, science,

Fact Sheet\ \ Transforming CGT quality testing to accelerate time to patient\ \ Download

fact-sheets,

2025-01-14

science, quality-and-regulatory,

quality-and-compliance,

Cell and gene therapies (CGTs) offer new hope for untreatable conditions, but their personalized nature adds immense complexity to quality control (QC). Delays or errors can have life-or-death consequences, requiring streamlined data management, traceability, and scalability.

Discover how TetraScience helps biopharma deliver life-saving therapies faster, safer, and at scale.

Fact Sheet\ \ Asset Utilization Use Case Supported by TetraScience: Example Savings\ \ Download

fact-sheets,

2024-11-22

science,

asset-utilization,

data-replatforming, data-engineering, data-analytics, tetra-data-app,

Laboratory organizations are increasingly asked to improve their productivity while reducing their costs. One way can be optimizing the usage of laboratory equipment, but organizations often lack the access to instrument-related data and the insights to improve their asset utilization.

In this fact sheet, we share an example of potential savings by using this data to gain actionable insights into instrument usage and performance enabled by the Tetra Scientific Data and AI Cloud. This helps to reduce unnecessary costs for maintenance, make strategic decisions on instrument allocation and purchase, and increase lab productivity.

Blog\ \ Evidence-Based Generative AI in Smart Quality Control\ \ Read blog

blog,

Discover how science-grounded, product-led GenAI can unlock the full potential of smart QC, demonstrated by a collaboration between TetraScience and Andelyn.

2024-11-05

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai, quality-and-compliance, tetra-data-app,

science, ai-and-data-science, quality-and-regulatory,

quality-testing,

Blog\ \ Looking Beyond Basel to the Future of Scientific AI in Biopharma\ \ Read blog

blog,

Explore three significant themes from the BioTechX conference that will shape the biopharma industry's trajectory.

2024-10-22

scientific-ai, sciborgs,

scientific-it, ai-and-data-science,

Blog\ \ Engineering the World's Scientific Data: Schema, Taxonomy, Ontology, and the Tetra Way\ \ Read blog

blog,

Dive into TetraScience's approach to scientific data engineering, focusing on schema, taxonomy, and ontology development.

2024-10-17

data-replatforming, data-replatforming, data-engineering,

scientific-it,

Case Study\ \ Fueling drug discovery with AI-native data\ \ Download

case-studies,

2024-10-17

high-throughput-screening,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

A leading biotechnology company uses AI to predict drug properties from high-throughput screening (HTS) data. Previously, scientists collected and prepared this data through many labor-intensive steps—an unscalable approach.

In partnership with TetraScience, the company completely overhauled its HTS data workflow. The new solution accelerates R&D, delivering immediate and lasting value to scientific, IT, and data teams.

Key outcomes:

• Streamlined operations, freeing up 240 hours per year for scientists
• Improved data accessibility with centralized, contextualized data in the cloud
• Enhanced data integrity by minimizing manual, error-prone tasks
• Future-proofed integrations and pipelines
• Automatically prepared AI-native data

Customer Story\ \ Scaling up high-content imaging through engineered BioTek Gen5 data\ \ Download

case-studies,

2024-10-11

high-throughput-imaging,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

High-content imaging produces rich datasets, but managing them was a headache for bioengineers at a leading synthetic biology company. They relied on inefficient manual processes to prepare data from Agilent BioTek Gen5 software for analysis, reducing screening throughput and straining resources.

To overcome these hurdles, the company deployed the TetraScience Scientific Data Foundry, which automatically collects and engineers Gen5 data into AI-native datasets at scale.

Key results of the streamlined workflow:

• Increased screening throughput by up to 35%
• Reduced scientists’ hands-on time for plate reader runs by approximately 75%
• Decreased data processing time by over 50%
• Enhanced data completeness, consistency, and quality
• Enabled cross-analysis through significantly improved data accessibility and reliability

Blog\ \ Reimagining Quality Testing\ \ Read blog

blog,

Discover how a digital QC lab transforms quality testing, making it faster, easier, and more accurate with data automation and advanced analytics.

2024-10-09

data-replatforming, data-replatforming, data-analytics, quality-and-compliance,

quality-and-regulatory, science,

quality-testing,

Blog\ \ Harnessing the Power of Liquid Data: Transforming CMC Workflows for Biopharma Innovation\ \ Read blog

blog,

Explore key insights from an expert roundtable on how liquid data improves scientific outcomes in CMC, addressing both opportunities and challenges.

2024-09-30

science, quality-regulatory,

Blog\ \ Building A Scientific Use Case Factory\ \ Read blog

blog,

Unlock immense value from Scientific AI using a modern, scalable stack, as exemplified by the TetraScience and Databricks partnership.

2024-09-06

data-analytics, scientific-ai,

science, ai-and-data-science,

Customer Story\ \ Optimizing quality testing with LabWare and TetraScience\ \ Download

case-studies,

2024-09-03

quality-testing,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Quality control (QC) scientists at a large biopharmaceutical company grappled with "human middleware" in their data workflows. These manual, labor-intensive processes slowed down batch release testing and compromised data integrity.

In response, they partnered with TetraScience. The Tetra Scientific Data Foundry automates their data workflows end to end through seamless bidirectional integration with LabWare LIMS and other software. The result is faster, more reliable, and fully traceable QC processes.

With TetraScience, the biopharma achieved:

• Faster batch release testing
• Higher productivity for scientists
• Enhanced data integrity
• Analytics-ready data for future chromatography dashboards

Customer Story\ \ Optimizing cell and gene therapy production with LabVantage and TetraScience\ \ Download

case-studies,

2024-08-05

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

Producing cell and gene therapies is exceptionally complex, and the stakes are incredibly high. For the contract development and manufacturing organizations (CDMOs) enabling these treatments, operational efficiency isn’t just about saving time and money; it can be a matter of life and death.

Recognizing this, an industry-leading CDMO modernized its scientific data strategy for developing and analyzing cell and gene therapies. Initially, its scientists relied on paper-based records and spreadsheets to track and record data. These methods were slow and prone to human error.

The CDMO decided to implement an integrated solution combining LabVantage LIMS with the Tetra Scientific Data and AI Cloud™. The solution led to several key outcomes:

• Higher productivity for scientists
• Improved data integrity
• Future-proof, AI-ready data

Blog\ \ Create your own data schemas using the Tetra Data Schema Library\ \ Read blog

blog,

Learn to programmatically define custom data schemas in the Tetra Data Platform, ensuring data integrity and reducing development cycles.

2024-07-23

data-replatforming, data-engineering, self-service,

scientific-it,

Blog\ \ From warehouse to waterfront: Why scientific data needs the lakehouse lifestyle\ \ Read blog

blog,

Overcome the limitations of data warehouse and data lake architectures with a lakehouse strategy optimized for your scientific data.

2024-07-10

scientific-it,

Blog\ \ Bridging network gaps: Connecting on-premise scientific data to cloud data platforms\ \ Read blog

blog,

Learn how to connect biopharma lab networks to the cloud, ensuring a smooth flow of scientific data while meeting enterprise security needs.

2024-07-09

data-replatforming, lab-data-automation,

scientific-it,

Case Study\ \ Powering dashboards for faster drug discovery\ \ Download

case-studies,

2024-06-27

high-throughput-screening,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Scientists at a biopharmaceutical company faced a data bottleneck in their high-throughput screens. Most could not access the screening data directly and had to rely on computational biologists to manually gather, process, and analyze it. This inefficient process slowed drug discovery.

To resolve the issue, the biopharma adopted the Tetra Scientific Data and AI Cloud™. This scalable solution automatically replatforms and engineers the screening data, making it readily available for visualization through a dashboard. Now, all discovery scientists can easily access high-quality data.

Key outcomes include:

• Rapid data search and aggregation: reduced from 1–2 days to 10 minutes
• Higher productivity: refocused computational biologists on more valuable work
• Faster decisions in hit selection: decreased from 2 weeks to 1–2 days

Blog\ \ A complete toolchain for creating AI-ready scientific data at enterprise scale\ \ Read blog

blog,

Discover the features of our scientific data toolchain and learn how you can contribute to our library of data integration and engineering components.

2024-06-25

data-replatforming, data-replatforming, data-engineering, self-service,

scientific-it, ai-and-data-science,

Blog\ \ Our Scientific Data Takeaways From Attending Databricks’ Data+AI Summit\ \ Read blog

blog,

Read our three essential takeaways from the Databricks Data+AI Summit, featuring insights from industry leaders, keynotes, and breakout sessions.

2024-06-20

scientific-ai, data-analytics,

ai-and-data-science,

Customer Story\ \ Advancing gene therapy development with engineered qPCR data\ \ Download

case-studies,

2024-06-12

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Development scientists at a leading biopharmaceutical company use quantitative polymerase chain reaction (qPCR) to evaluate the impact of process changes on gene therapy products. These assays are crucial for chemistry, manufacturing, and controls (CMC). However, the team's manual-intensive data workflow significantly limited their throughput and data analysis capabilities.

The biopharma's leadership turned to TetraScience to streamline their qPCR process. The solution employs the Tetra Scientific Data and AI Cloud™ to automatically replatform and engineer the qPCR results into analytics- and AI-ready data.

As a result, the improved workflow:

• Increases assay throughput by up to 6x
• Minimizes manual steps, saving up to 1 hour per assay
• Enables meta-analyses across multiple experiments

Customer Story\ \ An optimized data workflow for drug transporter assays\ \ Download

case-studies,

2024-06-03

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

A leading contract research organization (CRO) performs drug transporter assays for biopharma companies, providing crucial insights into the pharmacokinetics and potential drug-drug interactions of lead compounds. However, its scientists struggled with slow and error-prone data processes, impacting the scalability of these assays.

To address this challenge, the CRO partnered with TetraScience to streamline the entire workflow. The Tetra Scientific Data and AI Cloud™ automatically replatforms and engineers the data from each study, eliminating many inefficient steps.

As a result, the CRO has achieved:

• 50% decrease in manual data entry
• 80% fewer items for QA to review
• 3,000 hours per year reallocated toward increasing throughput

‍

Blog\ \ Paradigm shift in scientific data management and analysis\ \ Read blog

blog,

Biopharma companies are moving beyond traditional lab connectivity and outdated data management strategies to establish a foundation for analytics and Scientific AI.

2024-05-23

data-replatforming,

scientific-it, ai-and-data-science,

Blog\ \ Building a Scientific Data and AI Community with TetraConnect Hub\ \ Read blog

blog,

TetraConnect Hub offers a collaborative space for biopharma scientists and data specialists to access resources, participate in discussions, and shape the platform.

2024-05-22

self-service,

scientific-it, science, ai-and-data-science,

Customer Story\ \ Simplifying ADME studies through data automation\ \ Download

case-studies,

2024-05-20

plasma-protein-binding,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

How drugs bind to blood plasma proteins influences their bioavailability and efficacy in the body. At a top 25 biopharma company, scientists measure this interaction using rapid equilibrium dialysis followed by mass spectrometry (RED-MS). However, they were spending significant time on manual file preparation and statistical calculations, which slowed down their absorption, distribution, metabolism, and excretion (ADME) studies.

Discover how the Tetra Scientific Data and AI Cloud™ streamlined and enhanced their workflows by automatically preparing and processing data for RED-MS assays. The new solution:

• Cut data preparation and processing time from hours to minutes
• Centralized and contextualized data for rapid search and retrieval
• Eliminated manual steps for improved scalability and data integrity

‍

Case Study\ \ Driving high-impact scientific outcomes with Tetra Sciborgs\ \ Download

case-studies,

2024-05-13

cell-profiling-and-sorting,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics, sciborgs,

The flow cytometry core facility at a leading biopharma faced complex data challenges. Scientists struggled with data curation, while facility staff had difficulty monitoring instrument performance. Both groups needed more efficient ways to manage and analyze their data.

Tetra Sciborgs provided a way forward. They helped optimizing flow cytometry workflows with a science-led approach that combines the Tetra Scientific Data and AI Cloud™, deep domain expertise, and a library of scientific use cases and supporting artifacts.

With the help of our Sciborgs, the biopharma was able to:

• Redirect scientists’ time spent on manual data processes to more valuable work
• Collect and engineer data automatically in the cloud for rapid search and analysis
• Visualize and trend instrument calibration data, enabling predictive maintenance
• Recover over $50,000 per year through time savings

Blog\ \ Data Readiness in AI\ \ Read blog

blog,

Explore key insights from the panel discussion "Data Readiness for AI," held at Bio-IT World Conference & Expo 2024. Experts from TetraScience and throughout industry share strategies for leveraging data effectively in AI applications within biopharma. With an emphasis on the importance of data governance, collaboration across scientific disciplines, and fostering a data-centric culture, thoughtful data management can unlock the potential of AI for improved drug development and patient outcomes.

2024-05-07

scientific-ai,

scientific-it, ai-and-data-science,

Case Study\ \ Increasing efficiency in purification process development\ \ Download

case-studies,

2024-05-02

bioprocessing-purifiation, method-development,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

At a top 10 pharmaceutical company, scientists developing purification methods were bogged down by inefficient data processes. They struggled to consolidate analytical data from UPLC and connect it with upstream processing data from FPLC. This hampered chemistry, manufacturing, and controls (CMC) efforts.

The Tetra Scientific Data and AI Cloud™ transformed the workflow by enabling a seamless exchange of data between chromatography data systems (UNICORN and Empower) and Signals Notebook. Scientists can now compare multiple runs effortlessly, identify anomalies rapidly, and access historical data instantly.

Find out how TetraScience helped this pharma:

• Eliminate 25 to 100 hours per week of manual data transcription
• Reduce data search times by up to 8 hours
• Streamline report preparation, saving 10 to 20 days per year
• Speed up process development by predicting optimal purification conditions to maximize yield and purity
• Reclaim $375,000 per year in scientists’ time

Blog\ \ AI-assisted drug safety assessment\ \ Read blog

blog,

Explore how TetraScience is leveraging AI for drug safety assessments to speed up development and lower costs.

2024-04-25

data-analytics, scientific-ai, tetra-data-app,

science, ai-and-data-science,

Blog\ \ How to overcome the hurdles to Pharma 4.0\ \ Read blog

blog,

A recent article in SLAS Technology details a proof of concept case study on digitizing data workflows to overcome the challenges of "Pharma 4.0" in protein therapeutic development. Discover the key takeaways and learn how TetraScience can help with your own digital revolution.

2024-03-15

data-replatforming, data-replatforming, data-engineering,

scientific-it, science, ai-and-data-science,

Blog\ \ Replatform and engineer your scientific data with the world’s largest, fastest-growing, purpose-built library\ \ Read blog

blog,

Discover how the Tetra Scientific Data and AI Cloud provides the world’s largest, fastest-growing, purpose-built library of data integrations and data models that drive scientific outcomes.

2024-03-08

data-replatforming, data-replatforming, data-engineering, scientific-data-management,

scientific-it,

Case Study\ \ Improving CMC with analytics-ready chromatography data\ \ Download

case-studies,

2024-03-07

bioprocess-purification-development, method-development,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Scientists in the Chemistry, Manufacturing, and Controls (CMC) division at a top-ten biopharma company specialize in developing methods for purifying biologics. However, they struggled with inefficient data practices. Manually assembling and analyzing heterogeneous sets of chromatography data (from FPLC and UPLC) was far from scalable.

Discover how TetraScience accelerated their development cycle by replatforming and engineering chromatography data. This analytics-ready data powers an in-house application to further streamline and enhance analysis.

The new solution enables the CMC team to:

• Redirect thousands of hours of manual data handling to model building
• Search and retrieve chromatography data faster and easier
• Streamline troubleshooting during scale-up to facilitate tech transfer
• Generate AI-native data for future AI applications

Blog\ \ Enhancing the scientific data engineering experience\ \ Read blog

blog,

See how the scientific data engineering experience is enhanced by low-code protocols, bulk file processing, and entity relationship diagrams.

2024-02-07

data-replatforming, data-replatforming,

scientific-it, ai-and-data-science,

Blog\ \ Pluggable Connector Framework accelerates development and release of data connectors\ \ Read blog

blog,

Learn how the Tetra Pluggable Connector Framework accelerates the release cycle and scalability for integrating devices and applications.

2024-01-29

data-replatforming, self-service,

scientific-it,

Customer Story\ \ Streamline batch release workflows between Signals Notebook, LabX, and Tiamo\ \ Download

case-studies,

2024-01-29

quality-testing,

science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, quality-and-compliance,

When a large biopharma needed to digitize their batch release workflows, eliminate manual data handling, and prepare their scientific data for downstream use in analytics applications and AI, they chose TetraScience.

The Tetra Scientific Data and AI Cloud™ will enable the seamless transfer of data between Signals Notebook, LabX, and Tiamo through integrations and advanced data engineering while simultaneously preparing data for downstream use in analytics and AI applications.

This global biopharma can expect:

• 40% increase in lab productivity
• 4x reduction in error rate
• Reduction in FTEs required for QC review
• AI-native data for prediction and troubleshooting

For the full story, read our 1-page customer story.

Case Study\ \ Accelerating ADME/Tox testing with data science and AI\ \ Download

case-studies,

2024-01-29

biologics-characterization,

science, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering, scientific-ai, tetra-data-app,

At Charles River Laboratories Hungary (SOLVO), scientists perform drug transporter assays to evaluate the absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties of drug candidates. They follow a rigid and inefficient sampling scheme to generate dose-response curves, adding cost and time to projects.

Learn how TetraScience helped SOLVO streamline ADME/Tox screening with artificial intelligence (AI). By replatforming and engineering scientific data, the Tetra Scientific Data and AI Cloud™ supports the development and validation of an in silico model to optimize sampling and improve IC50 calculations.

The in silico model, built in just 5 months, will enable SOLVO to:

• Cut the number of sampling points by half while improving IC50 accuracy

• Reduce wet lab experiments by 50%

• Decrease manual data curation by 1.5 FTE

Blog\ \ Proprietary data formats are killing your AI initiative\ \ Read blog

blog,

Discover why a lack of harmonization among data formats plus inconsistent metadata ontologies and taxonomies are hindering AI initiatives for biopharma.

2023-12-21

data-engineering, data-analytics, scientific-ai,

scientific-it, ai-and-data-science,

Blog\ \ Legacy data architectures are slowing your AI journey\ \ Read blog

blog,

Learn how siloed data environments and a legacy data architecture like an SDMS can slow the progress of biopharma organizations in their AI journeys.

2023-12-21

data-replatforming, data-replatforming, data-engineering, data-analytics, scientific-ai,

scientific-it, ai-and-data-science,

Blog\ \ Harnessing AI in biopharma: Scientific use cases\ \ Read blog

blog,

AI promises to transform the entire biopharma value chain—from discovery to commercialization. Explore some of the pivotal scientific use cases.

2023-12-21

data-analytics, scientific-ai,

science,

asset-utilization, formulation-development, high-throughput-screening, quality-testing,

Blog\ \ Biopharma’s DIY problem: 5 reasons why DIY for AI fails\ \ Read blog

blog,

Read why a do-it-yourself (DIY) approach to scientific data management is a major impediment for biopharma organizations in their scientific AI initiatives.

2023-12-21

data-replatforming, data-engineering, scientific-ai,

scientific-it, ai-and-data-science,

Blog\ \ Accelerate Tetra Data availability as external tables in Snowflake\ \ Read blog

blog,

Learn how accessing Tetra Data in Snowflake as external tables can improve query performance, reduce storage costs, minimize data redundancy, simplify schema evolution, and provide real-time data access without compromising data integrity or compliance.

2023-12-21

data-replatforming,

scientific-it, ai-and-data-science,

Blog\ \ Genius of “And” – You can get both\ \ Read blog

blog,

Learn how the Tetra Scientific Data and AI Cloud can help customers to solve immediate connectivity needs AND build a foundation for analytics/AI.

2023-12-15

data-replatforming, data-replatforming, data-engineering, sciborgs,

scientific-it,

Customer Story\ \ Enhanced sample tracking boosts genotyping throughput\ \ Download

case-studies,

2023-12-15

biologics-characterization,

science,

data-replatforming, data-replatforming, data-engineering,

High-throughput screening of genomic edits in mice is a complex, multi-step process. Each genetic modification requires unique reagents for detection by quantitative PCR. Read this customer story to learn how the Tetra Scientific Data and AI Cloud increased productivity through the automation and enhancement of sample records.

Challenge:

A top 20 biopharma company operates its qPCR-based genotyping workflow at 40% capacity due to limitations in sample tracking.

Solution:

The Tetra Scientific Data and AI Cloud enables per-well sample tracking by replatforming and engineering scientific data.

Result:

33% increase in genotyping throughput so far; expected to increase by 150% total soon.

Customer Story\ \ Automated instrument onboarding with Atlassian Jira and TetraScience\ \ Download

case-studies,

2023-12-02

scientific-it,

data-replatforming,

A top 20 global biopharma needed to integrate 350+ scientific instruments into a centralized data environment, but each integration required five minutes of manual configuration. Learn how the company paired Atlassian Jira project management software with the Tetra Scientific Data and AI Cloud™ to automate the configuration of Tetra File-Log Agents and achieve 25x faster instrument onboarding.

Customer Story\ \ Faster lead characterization by automating SPR data workflows\ \ Download

case-studies,

2023-12-02

biologics-characterization,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering,

Surface plasmon resonance (SPR) enables scientists to measure molecular interactions between a potential drug and its target. Read this customer story to learn how the Tetra Scientific Data and AI Cloud accelerated lead characterization by replatforming and engineering SPR data.

Challenge:

A top 10 biopharma company performs manual QC of SPR data for lead characterization. The process takes up to 80% of scientists’ time, throttling assay throughput.

Solution:

The Tetra Scientific Data Cloud streamlines the entire QC process by automating data ingestion, engineering, and publishing.

Result:

Over 3x higher assay throughput and better quality data.

Case Study\ \ Streamlining synthetic biology at Ginkgo Bioworks\ \ Download

case-studies,

2023-12-02

asset-utilization,

scientific-it,

data-replatforming,

Ginkgo Bioworks is pioneering new ways to design biology. The company’s innovative cell programming platform enables scientists to edit DNA and produce biological designs that can identify new therapeutics for pharmaceutical companies, enable agriculture companies to protect crops from pests, and more.

Learn how the Tetra Scientific Data and AI Cloud™ enabled Ginkgo to optimize lab operations and allowed software engineers to focus on high-value work while also helping the company prepare data for analytics and AI applications.

Blog\ \ Multi-byte character support for Japanese language in workflows\ \ Read blog

blog,

Tetra Data Platform v3.6 introduces multi-byte character support to empower users in global biopharma organizations who want to use Japanese language.

2023-11-09

data-replatforming,

scientific-it,

Blog\ \ ELN/LIMS as the data layer for AI/analytics: pros and cons\ \ Read blog

blog,

Considering an ELN/LIMS to prep data for AI? You may want to think again.

2023-10-26

data-replatforming, data-replatforming, data-engineering,

scientific-it,

Blog\ \ Empower Agent v5.1.x: CDS data integration at enterprise scale\ \ Read blog

blog,

TetraScience announces the release of their Empower Agent, version 5.1.x. Integrate your CDS data at scale with the Tetra Scientific Data and AI Cloud.

2023-10-20

data-replatforming,

scientific-it, science,

Case Study\ \ Creating "The Digital CDMO" with Andelyn Biosciences\ \ Download

case-studies,

2023-10-05

biologics-characterization, bioprocess-purification-development, cxo-collaboration, quality-testing,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-replatforming, data-engineering, quality-and-compliance,

When Andelyn Biosciences broke ground on two state-of-the-art gene therapy CDMO facilities, they needed the optimal scientific data strategy. They decided to create a “Connected Plant” by leveraging The Tetra Scientific Data and AI Cloud™ across their entire enterprise.

Read this case study to learn how TetraScience and Andelyn successfully launched “The Connected Plant” where the Tetra Scientific Data and AI Cloud:

• Provides the data infrastructure, automation, and engineered data Andelyn requires to become “The Digital CDMO”
• Lays the foundation for AI-enabled workflows
• Powers an easy-to-use search for all assay data
• Consolidated every independent data story across the scientific organization
• Onboarded 100% of Andelyn’s legacy gene therapy data

Find out why Andelyn says “TetraScience is the cornerstone of 'The Connected Plant Strategy.'”

Blog\ \ Creating a State of Inspection Readiness\ \ Read blog

blog,

Learn how Sware wants to change how the life sciences industry manages validation.

2023-09-14

Case Study\ \ Streamlined flow cytometry for antibody screening\ \ Download

case-studies,

2023-08-16

cell-profiling-and-sorting,

scientific-it, science,

data-replatforming, data-replatforming, data-analytics,

Flow cytometry is a powerful tool to screen and optimize protein therapeutics. But the raw data is complex and requires preparation before downstream analysis. Performed manually, this process creates a bottleneck for high-throughput approaches.

Facing this challenge, a leading biopharma company looked to increase the throughput of its antibody screening method by streamlining the scientific data workflow.

Read the case study to learn how TetraScience helped this company achieve:

• 25X faster data preparation, including gating and QC
• Up to 48 hours saved per screen
• Over 3X screening throughput by supporting a multiplexing approach
• Higher-quality data, centralized and searchable in the cloud

The outcome was faster, better lead identification without increasing instrument footprint or personnel.

Blog\ \ Data integrity in biopharma: Embracing ALCOA++\ \ Read blog

blog,

See how the principles of ALCOA++ guide biopharma organizations toward data integrity and better scientific outcomes.

2023-08-14

quality-and-compliance,

scientific-it, quality-and-regulatory,

Case Study\ \ Accelerating bioprocessing purification at Alexion\ \ Download

case-studies,

2023-07-26

bioprocess-purification-development, method-development,

scientific-it, science,

data-replatforming, data-replatforming, data-engineering, data-analytics,

Alexion, AstraZeneca Rare Disease, needed a technology partner to streamline a bioprocessing purification workflow so they could advance their analytics capabilities and transform the lives of patients with rare diseases.

TetraScience successfully developed an automated, FAIR-data powered (findable, accessible, interoperable, reusable), analytics-enabled FPLC workflow that significantly improves time-to-insight and throughput for their downstream laboratory.

Read the case study to find out how TetraScience helped Alexion:

• Decrease time-to-insight from 1 week to 1 day
• Reallocate ~5000 hours per year to higher value work
• Increase FPLC throughput
• Create the lab’s first centralized, searchable, cloud data store
• Eliminate the operating costs associated with retrieving difficult-to-find data

Blog\ \ Automating Cell Culture and Cell Engineering\ \ Read blog

blog,

TetraScience sits down with Jimmy Sastra, CEO and Co-founder of Monomer Bio. Read the full interview.

2023-07-19

data-replatforming,

scientific-it,

Blog\ \ Accelerating AI-led High Content Image Analysis\ \ Read blog

blog,

TetraScience sits down with Ben Kamens, CEO and Founder, Spring Discovery. Read the full interview.

2023-07-13

scientific-ai,

science, ai-and-data-science,

Blog\ \ How to free your data from isolation using the cloud\ \ Read blog

blog,

Discover how dispersed scientific data in biopharmas can easily be accessed, enriched, and harmonized for analytics and AI/ML using the cloud.

2023-06-05

data-replatforming, data-replatforming, data-engineering,

scientific-it, science,

asset-utilization, cxo-collaboration, high-throughput-screening, quality-testing,

Blog\ \ Flying high with cloud-based quality and compliance\ \ Read blog

blog,

Read our latest blog on how TetraScience establishes robust and dependable compliance standards for cloud-connected laboratories.

2023-06-02

quality-and-compliance,

science, quality-and-regulatory,

Blog\ \ A Promise to Families: Delivering Personalized Medicine\ \ Read blog

blog,

An interview with Allen Chang, CEO, Atgenomix. Read the full interview.

2023-03-28

data-analytics, scientific-ai,

scientific-it, science, ai-and-data-science,

Blog\ \ Fueling the Lead Machine—Data and HTS\ \ Read blog

blog,

Learn how big data impacts your high-throughput screening workflows and how TetraScience can help you improve your cost, time, and quality.

2023-03-24

data-replatforming, data-replatforming, data-analytics,

scientific-it, science,

high-throughput-screening,

Blog\ \ Connecting Siloed Systems Throughout R&D for Research Insights\ \ Read blog

blog,

Colabra was created from the realization that in today’s fast-paced scientific R&D landscape, organizations were facing a growing challenge of managing all thei

2023-02-24

quality-and-compliance,

scientific-it, science, quality-and-regulatory,

Blog\ \ Achieving operational excellence with a modern Laboratory Information Management System (LIMS)\ \ Read blog

blog,

Scigilian joins the Tetra Partner Network. Read the full interview.

2023-02-23

data-analytics,

scientific-it, science,

Blog\ \ Accelerating Collaborative, Reproducible Science Built on FAIR Principles\ \ Read blog

blog,

An interview with Simon Adar, Co-founder and CEO, Code Ocean. Read the full interview.

2023-02-03

Blog\ \ Collaborating and Innovating in Biopharma: Workflow and Sample Management\ \ Read blog

blog,

Collaborating and Innovating in Biopharma: Workflow and Sample Management

2023-01-17

scientific-it,

Case Study\ \ Unlocking the Value of Big Data in a Global Biopharma\ \ Download

case-studies,

2022-12-28

cxo-collaboration, high-throughput-screening,

scientific-it,

data-replatforming, data-replatforming, data-engineering,

A leading biopharmaceutical company was searching for a data solution that would help them accelerate biologics discovery and development, improve time-to-insight, and bring therapies to patients faster.

This case study explores how the Tetra Scientific Data and AI Platform helped them accomplish their goals by:

• Automating CRO data ingestion
• Eliminating time-consuming manual data cleansing
• Accelerating .CZI image processing
• Streamlining HTS workflows

Read this case study to learn how TetraScience optimized large scale scientific data.

Blog\ \ Accelerating Process Automation in Research and Manufacturing\ \ Read blog

blog,

We are delighted to welcome AGU to the Tetra Partner Network and to share a recent conversation with Klaus Bruch, CEO, and Co-Founder of AGU.

2022-12-13

quality-and-compliance,

scientific-it, quality-and-regulatory,

Case Study\ \ How a Biotech Organization is Transforming Vital Flow Cytometry Processes\ \ Download

case-studies,

2022-11-15

cell-profiling-and-sorting,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-engineering,

A leading biotech company was facing challenges with their flow cytometry workflows due to inefficient, manual processes that were time consuming, high effort and error prone.

This case study shows how this biotech organization was able to automate, simplify, and improve the quality of their flow cytometry workflows by addressing the pain points that include:

• Manual data manipulation
• High utilization of instruments
• Slow, complex, and risky data preparation processes

Read this full case study to learn about how to improve and accelerate flow cytometry workflows with the Tetra Scientific Data and AI Cloud™.

Blog\ \ High Throughput Antibody Discovery: 100x the Data in 10% of the Time\ \ Read blog

blog,

An interview with Chris Silva, VP Global Marketing and Product, Carterra. Read the full interview.

2022-11-09

scientific-it, science,

high-throughput-screening,

Blog\ \ Harnessing Multi-Omic Data with Deep Learning\ \ Read blog

blog,

We are delighted to welcome DeepLife to the Tetra Partner Network and to share a recent conversation with Jonathan Baptista, Co-Founder & CEO.

2022-10-13

data-analytics, scientific-ai,

science, ai-and-data-science,

Blog\ \ Harmonized Scientific Data: The Key to Faster Discovery\ \ Read blog

blog,

Ready to harmonize your scientific data with TetraScience? Discover how findable, accessible, interoperable, and reusable (FAIR) data accelerates innovation

2022-10-03

data-replatforming, data-replatforming, data-engineering,

scientific-it, science, ai-and-data-science,

cxo-collaboration,

Case Study\ \ Quality Control Workflows for Chromatography Data Analysis\ \ Download

case-studies,

2022-09-30

quality-testing,

scientific-it, science,

data-replatforming, data-engineering,

As a process for separating components of a sample, chromatography is critical to modern pharmaceutical and biotech workflows. One challenge is the difficulty in aggregating data across multiple runs or across diverse in-house instrumentation. Manual data reporting and transformation between data formats are time-consuming and prone to errors.

Biopharma organizations are partnering with TetraScience to unlock the full value of chromatography data – and faster, more reliable quality control.

Our case study – Data-Driven Quality Control – describes how TetraScience helped a top 15 global biopharma to improve chromatography data analysis. You'll learn about our automated quality control workflows for:

• System suitability tests (SST)
• Column degradation checks
• Shelf-life for active pharmaceutical ingredients (APIs)

TetraScience ingested and processed high-performance liquid chromatography (HPLC) data into a FAIR format.

Researchers saved an estimated 8 hours/week in manual data gathering, visual comparison and reporting. Our client was also able to use existing runs to predict failures before they occurred while resolving inefficiencies in communication.

Enhance Your Data-driven Quality Control

Read our case study for an in-depth look at how TetraScience has advanced chromatography data analysis in the cloud. We will review:

1. Cost savings in manual labor and consumables
2. Streamlined reporting between functions
3. Harmonized data adhering to FAIR principles

‍

Case Study\ \ Driving Cost-Effective CRO Collaboration\ \ Download

case-studies,

2022-09-30

method-development, quality-testing,

scientific-it, science, quality-and-regulatory,

data-replatforming, data-engineering, data-analytics,

Most Contract Research Organizations (CROs) use their own data formats for standard assays, which can pose data aggregation challenges to biopharma companies. Being able to harmonize data from different CRO reports is critical to scale up absorption, distribution, metabolism, and excretion (ADME) testing of pharmacokinetics (PK) properties of drug candidates.

This case study demonstrates how TetraScience helped two clinical-stage startup companies get the most out of their CRO collaborations for ADME/PK needs.

It covers:

• The challenges of laborious manual data workflows for pharmacokinetics and pharmacodynamics (PK/PD) studies. Scientists have to manually check the reports from CROs.
• The benefits of an optimized process that connects, parses, and harmonizes ADME/PK reports from various CROs.

Harmonized data allow visualizations of structure activity relationships (SAR), data science, artificial intelligence, and machine learning (AI/ML). By automating CRO data entry, processing, and transfer, scientists save time and reduce manual errors. With automated data management, CRO outsourcing can help biopharma companies realize more cost-effective results. Read the full case study to learn more.

‍

Case Study\ \ Powering Scientific Process Automation and Workflow Management\ \ Download

case-studies,

2022-09-30

high-throughput-screening,

scientific-it, science, ai-and-data-science,

data-replatforming, data-replatforming, data-engineering,

The clinical-stage biopharmaceutical company Prelude Therapeutics (PTx) deployed the Tetra Data Platform to eliminate manual data processing and accelerate scientific discoveries.

This case study describes:

• The challenges of manual collection, transfer, and manipulation of data for the integration of PTx instruments & software
• The benefits of scientific process automation and workflow management with the Tetra Data Platform (TDP)

TetraScience built a cloud-based data processing solution to automate Tecan, Titian, Dotmatics, and PerkinElmer Envision workflows with upstream data science applications. Our vendor-agnostic integrations enabled scientists to access all of their instrument data, information of informatics software, and scientific data visualization in one place. No more need to move and update files from multiple locations.

Learn how to reduce manual tasks by automating workflows, enabling scientists to focus on high-value activities like developing new cancer treatments. Read the full case study.

Blog\ \ Creating a Treasure Trove of Scientific Insights\ \ Read blog

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An interview with Anahita Laskowski, Head of Sales, AgiLab. Read the full interview.

2022-09-15

scientific-it, quality-and-regulatory,

Blog\ \ Pragmatic Compliance Solutions: Adding Value Effectively to GxP\ \ Read blog

blog,

An interview with Stephen Ferrell, Co-Founder, CompliancePath. Read the full interview.

2022-09-08

quality-and-compliance,

scientific-it, quality-and-regulatory,

Blog\ \ Reinvented Resource Management Powers Innovation Cycles\ \ Read blog

blog,

Workflow automation, resource management, resource utilization, reporting, lab productivity, central labs, core facilities, cloud, digitization, scientific data

2022-08-10

scientific-it,

asset-utilization,

Blog\ \ Automating qPCR Workflows for Better Scientific Outcomes\ \ Read blog

blog,

An indepth look at how UgenTec automates qPCR workflows and augments them with AI.

2022-08-04

data-replatforming, data-analytics, scientific-ai,

scientific-it, science,

cxo-collaboration, high-throughput-screening, quality-testing,

Blog\ \ Building The Digital CDMO with TetraScience\ \ Read blog

blog,

An interview with Bryan Holmes, Vice President, Digital and Technology Solutions, Andelyn Biosciences. Read the full interview.

2022-07-22

data-replatforming, data-analytics,

science,

cxo-collaboration,

Blog\ \ Barrier Busting: Bringing ELN and LIMS Scientific Data Together\ \ Read blog

blog,

An interview with Yonggan Wu, CEO, Labii. Read the fulll interview.

2022-06-27

data-replatforming,

scientific-it, science,

Blog\ \ Committed to Curing Diabetes\ \ Read blog

blog,

An interview with Felipe Echeverri, CEO, Biorep Technologies, Inc. Read the full interview.

2022-05-31

science,

Blog\ \ New Frontiers: World’s First Community-Driven AI Store for Biology\ \ Read blog

blog,

Cloud platform for AI biology to accelerate machine learning for scientific research.

2022-05-23

scientific-ai,

science, ai-and-data-science,

Blog\ \ Give Your in vivo Data the Attention it Deserves\ \ Read blog

blog,

The data challenges of In vivo research studies are increasingly complex as companies focus on more challenging diseases: cancers, diabetes, and other chronic

2022-05-09

scientific-it, science,

Blog\ \ Customizing Digital Lab Experiences With Ease\ \ Read blog

blog,

Researchers adopt digital solutions, such as ELNs or inventory management systems, with the intention of optimizing and centralizing their daily work in the lab

2022-05-02

data-replatforming,

scientific-it,

Blog\ \ Digital Twins: Seeing Double with a Predictive Eye\ \ Read blog

blog,

Digital twins in product and process development facilitate agile development, tech transfer, and process improvement while accelerating product delivery.

2022-04-06

data-replatforming, scientific-ai, quality-and-compliance,

scientific-it, science, ai-and-data-science,

Blog\ \ Innovating with a HoloLens and Drones\ \ Read blog

blog,

iVention, maker of a powerful Laboratory Execution System (iLES), joined the Tetra Partner Network late last year. We sat down with Oscar Kox,for a conversation

2022-04-01

scientific-it, science,

Blog\ \ Making Labs More Efficient\ \ Read blog

blog,

We are delighted to share our conversation with Tobias Wingbermuehle, Co-Founder of Clustermarket.

2022-03-30

scientific-it, science,

asset-utilization,

Blog\ \ Automated Anomaly Detection and Correction\ \ Read blog

blog,

An interview with Randall Julian, Ph.D., CEO of Indigo BioAutomation. Read the full interview.

2022-03-28

data-replatforming, scientific-ai,

scientific-it, science, ai-and-data-science,

Blog\ \ Are you prepared to utilize ML/AI and Data Visualization?\ \ Read blog

blog,

We welcome the opportunity to speak with Andrew Skalkin, CEO and Founder of Datagrok. Datagrok and the Tetra Partner Network make it easy.

2022-03-02

data-analytics, scientific-ai,

science, ai-and-data-science,

high-throughput-screening,

Blog\ \ Experimental Data in Life Sciences R&D — It’s How Many Copies of Jaws?!\ \ Read blog

blog,

Key takeaways from the “Why Life Sciences R&D Organizations Are Replatforming Their Experimental Data to the Cloud” webinar with 20/15 Visioneers.

2021-07-22

Blog\ \ Announcing Our Series B: The What, When, Why, Who, and Where\ \ Read blog

blog,

We are incredibly excited and profoundly grateful to announce the closing of our $80 million Series B which was co-led by Insight Partners and Alkeon Capital.

2021-04-15

Blog\ \ Announcing our Series B: The DNA Markers of Category Kings and Queens\ \ Read blog

blog,

Category Kings and Queens dominate in the winner-take-all world of tech economics in which they capture virtually all of a market's mindshare.

2021-04-15

Blog\ \ Announcing our Series B: Tetra 1.0 and 2.0 | The Noise and the Signal\ \ Read blog

blog,

Since launching Tetra 2.0 our growth metrics have been simply remarkable, with 2020 ARR growing 10x over 2019 & 2021 ARR growth expected to increase another 3x

2021-04-15

Blog\ \ How an IDS Complements Raw Experimental R&D Data in the Digital Lab\ \ Read blog

blog,

Future-proof your lab with TetraScience. The Tetra R&D Data Cloud is the industry’s only cloud-native platform built for scientific data.

2021-03-26

Blog\ \ AWS Executive Conversations: Evolving R&D\ \ Read blog

blog,

Future-proof your lab with TetraScience. The Tetra R&D Data Cloud is the industry’s only cloud-native platform built for scientific data.

2021-02-12

Blog\ \ New Matter: Inside the Minds of SLAS Scientists Podcast\ \ Read blog

blog,

New Matter: Inside the Minds of SLAS Scientists Podcast — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2021-01-18

Blog\ \ Protein Purification with Cytiva UNICORN: Enhanced Analytics through Harmonization and Integration\ \ Read blog

blog,

Protein Purification with Cytiva UNICORN: Enhanced Analytics through Harmonization and Integration — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-10-15

Blog\ \ Remote Monitoring of VWR CO₂ Incubators via Direct Integration\ \ Read blog

blog,

Remote monitoring of VWR CO2 incubators wia direct integration results in lesser installation times, lower upfront costs in the lab and eleiminates the need to

2020-09-15

Blog\ \ 99 Problems, but an SDMS Ain't One\ \ Read blog

blog,

99 Problems, but an SDMS Ain't One — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-08-27

Blog\ \ "Data Plumbing" for the Digital Lab\ \ Read blog

blog,

"Data Plumbing" for the Digital Lab — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-08-06

Blog\ \ Incident Reporting for GxP Compliance\ \ Read blog

blog,

The TetraScience Lab Monitoring application now provides comprehensive incident reporting for monitoring and tracking of all potential deviations

2020-08-02

Blog\ \ Cloud-based Data Management with Lab Automation: HighRes Biosolutions Cellario + TetraScience\ \ Read blog

blog,

Cloud-based Data Management with Lab Automation: HighRes Biosolutions Cellario + TetraScience — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-07-29

Blog\ \ Direct Data Acquisition and Sensor Integration for ThermoFisher Heracell™ VIOS CO₂ Incubators\ \ Read blog

blog,

Direct data acquisition and integration for monitoring CO2 incubators results in lesser installation times, lower upfront costs in the lab, and eliminates the n

2020-07-15

Blog\ \ Powering Bioprocessing 4.0 for Therapeutic Development\ \ Read blog

blog,

Integration between AGU's Sm@rtLine Data Cockpit and TetraScience unifies life sciences R&D data in the cloud.

2020-07-08

Blog\ \ Enabling Compliance in GxP Labs\ \ Read blog

blog,

TetraScience's Lab Monitoring application is now 21 CFR part 11 ready. Enable GxP compliance with audit trail, electronic signature, multi-factor authentication

2020-06-29

Blog\ \ AWS Healthcare & Life Sciences Web Day | Virtual Industry Event\ \ Read blog

blog,

AWS Healthcare & Life Sciences Web Day | Virtual Industry Event — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-06-11

Blog\ \ Remote Lab Scheduling is No Longer Optional, it is a Requirement\ \ Read blog

blog,

TetraScience Scheduling is a purpose-built solution that allows laboratories to schedule instrumentation and equipment.

2020-06-10

Blog\ \ Data Automation for High-Throughput Screening with Dotmatics, Tecan, and PerkinElmer Envision\ \ Read blog

blog,

Despite robotic automation, experiment data sets are still isolated from one another, requiring manual data acquisition and handling.

2020-06-08

Blog\ \ Data Science Use Cases for the Digital Lab: Novel Analyses with Waters Empower CDS Data\ \ Read blog

blog,

Data scientists can perform novel analyses once Waters Empower CDS data is harmonized in the cloud.

2020-06-01

Blog\ \ Applying Data Automation and Standards to Cell Counter Files\ \ Read blog

blog,

Future-proof your lab with TetraScience. The Tetra R&D Data Cloud is the industry’s only cloud-native platform built for scientific data.

2020-05-15

Blog\ \ LRIG-New England: Lunchtime Virtual Rapid Fire Event - May 26, 2020\ \ Read blog

blog,

LRIG-New England: Lunchtime Virtual Rapid Fire Event - May 26, 2020 — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-05-14

Blog\ \ Round-up of Semantic Web thought leadership articles\ \ Read blog

blog,

Round-up of Semantic Web thought leadership articles — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-04-20

Blog\ \ Allotrope Leaf Node Model — a Balance between Practical Solution and Semantics Compatibility\ \ Read blog

blog,

Allotrope Leaf Node Model — a Balance between Practical Solution and Semantics Compatibility — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-03-29

Blog\ \ Choose the right alert set points for your freezers, refrigerators, and incubators\ \ Read blog

blog,

Choose the right alert set points for your freezers, refrigerators, and incubators — TetraScience on building AI-ready data infrastructure for biopharma R&D.

2020-03-13

Blog\ \ Allotrope 101\ \ Read blog

blog,

The Allotrope Foundation, an international consortium of pharma, biotech, and other research-intensive industries, has developed advanced data architecture to t

2019-04-03

AI & Data Science

Infographic\ \ Scientific AI trends in biopharma\ \ \ \ View

white paper\ \ The Scientific AI gap\ \ Download Fact Sheet\ \ Key takeaways: scalable data strategies for Scientific AI-enabled breakthroughs\ \ Download Video\ \ Lead clone selection assistant\ \ Download Solution Brief\ \ The Tetra OS: The Operating System For Scientific Intelligence\ \ Download

Scientific IT

White Paper\ \ The 8 trends redefining scientific data management in biopharma\ \ \ \ Download

Solution Brief\ \ TetraScience Lakehouse Architecture\ \ Download Infographic\ \ Scientific AI trends in biopharma\ \ View Case Study\ \ Unlocking the value of big data in a global biopharma\ \ Download Case Study\ \ Streamlining synthetic biology at Ginkgo Bioworks\ \ Download

R&D

White Paper\ \ Challenges and future directions in CMC\ \ \ \ Download

Video\ \ Lead clone selection assistant\ \ Watch Case Study\ \ Driving high-impact scientific outcomes with Tetra Catalysts\ \ Download Fact Sheet\ \ TetraScience: The Scientific Data Cloud Company\ \ Download Case Study\ \ Accelerating ADME/Tox testing with data science and AI\ \ Download

Quality/QC

Case Study\ \ Creating "The Digital CDMO" with Andelyn Biosciences\ \ \ \ Download

Solution Brief\ \ Accelerate quality testing with TetraScience\ \ Download Video\ \ Chromatography Insights in the Tetra Data and AI Workspace\ \ Watch Case Study\ \ Quality control workflows for chromatography data analysis\ \ Download Inforgraphic\ \ Transforming quality testing\ \ View

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Make your scientific data work for AI.

Tetra OS turns scattered instrument and lab data into a foundation AI can actually use.

Talk to an expert

By transforming how our scientists access, analyze, and share research data, we're unlocking new levels of productivity and enabling AI-powered insights through a connected, online data environment. Beyond boosting productivity, we're leveraging data and agentic AI to accelerate innovation across our drug discovery engine.

Jim Villa Global Head of Research Strategy & Operations

Our expanded partnership with TetraScience is delivering measurable value through unified access to instrument and CRO data that powers our automation and analytics at scale. The platform's audit capabilities have streamlined our regulatory preparation processes.

Linus Goerlitz Regulatory Science Transformation Lead

Embedding AI and digital technologies across the R&D value chain is one of Takeda’s core strategic areas for our future. Our data-driven R&D approach will reduce discovery timelines, enable the identification of targets faster, and help us design better therapeutic candidates.

Nicole Glazer Head of R&D Data, Digital and Technology

Our collaboration with TetraScience strengthens how we help customers automate data management at scale in the laboratory.

Sean Baumann VP - Digital and AI, Life Sciences, Diagnostics and Applied

Our collaboration with TetraScience enhances the precision and speed of our quality control processes. By automating manual steps, we're empowering our scientists to focus on innovation that brings essential medicines to women faster and more safely.

Niamh O'Rahilly-Drew AVP Quality

The capabilities provided by TetraScience enable us to standardize and harmonize data at scale... accelerating the speed and quality of scientific discovery.

Claudio Battilocchio Digital Automation Lead R&D

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