Scientific Data Replatforming | TetraScience

Unvarnished perspectives from our CEO

Read first principles insights on Scientific AI, and how we're reimagining and replatforming science for the era of AI.

Scientists can now go from "I have an idea" to "I have a running app" in under an hour. See a live build at our August 13 Showcase.

Science runs on fragmented data. It shouldn't. Get the Tetra OS solution brief.

New Review by Exception Capabilities: Boost quality operations through smarter, exception-driven review workflows .

The paradigm shift in scientific data management

The Tetra Scientific Data and AI Platform provides you with all the core functionalities you need from traditional Scientific Data Management System (SDMS)—and more. It transforms your data into the atomic building blocks for Scientific AI: AI-native Tetra Data.

Solve your immediate need for lab connectivity and data management today and build the foundation to Scientific AI with a paradigm shift in scientific data management and analysis.

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.

Tune in live on LinkedIn:

February 27th | 11am ET

Benefits of Tetra Scientific Data and AI Platform vs. Traditional SDMS

• On-prem
• Cloud-native
• Reduce total cost of ownership, provide scalability and support compute intensive workloads for analytics, AI, and ML
• Files-based
• Engineered data and lakehouse
• Obtain scientific insights through large-scale and engineered datasets in multi-modal analysis
• End-point oriented and vendor specific
• Data centric and vendor agnostic
• Avoid data silos and vendor lock-in, build a foundation of AI and analytics with data liquidity
• Inline data processing extracting limited information
• Event-driven data processing and engineering
• Gain efficiency through flexible, customizable on-demand data processing and information extraction
• Data and analysis disjointed with manual data movement
• Colocated data and applications in a data workspace
• Improve scientific productivity with seamless access to data and a growing ecosystem of data applications
• Single-company centric
• Collaborative and multi-company
• Collaborate across the ecosystem of partners with liquid data in a secure manner

Automate your scientific data assembly in the cloud

Collect

Automate the collection of data from scientific instruments, informatics applications, analysis software, and partners.

Leverage industrialized integrations for a growing set of data sources and targets.

Avoid a time-and resource-consuming do-it-yourself approach.

Contextualize

Automatically extract essential metadata and enrich your scientific data.

Use scientifically relevant metadata to easily search and retrieve your data.

Enable meaningful analytics and AI.

Centralize

Eliminate inaccessible data silos and assemble large-scale datasets.

Replatform your scientific data into a centralized, single source of truth.

Publish data directly to data consumers and easily reuse it for gaining insights.

Data analytics

Ensure high data quality, maintain data integrity and traceability.

Streamline efforts to comply with regulations like 21 CFR Part 11 and adhere to GxP guidelines.

Use automation capabilities, validated and proven integrations, and extensive documentation.

Automate scientific workflows

Remove erroneous manual transcription, tedious data manipulation, and laborious data verification and review. Automate common scientific workflows while improving compliance and data integrity.

Design-make-test-analyze, all your scientific data replatformed

You are producing important scientific data at each step of your scientific research process. Collect the data produced during each and every step of the design-make-test-analyze (DMTA) cycle with the Tetra Scientific Data and AI Platform.

Link your data related to measurements, context, methods, and analysis, and prepare it for analytics and AI.

Most sophisticated and fastest growing library of integrations

Select examples of informatics application integrations

Select examples of instrument integrations

• AGU Sm@rtLine Data Cockpit (SDC)
• Beckman Coulter Vi-CELL Cell Counter
• Beckman Coulter CytoFlex
• BMG LABTECH microplate readers
• Cytiva UNICORN
• HighRes Biosolutions Cellario
• Mettler Toledo LabX
• PTC KEPServerEX
• ThermoFisher Scientific Chromeleon software
• ThermoFisher Scientific Xcalibur software
• Waters MassLynx MS software
• Waters Empower CDS

Make your scientific data work for AI.

Tetra OS turns scattered instrument and lab data into a foundation AI can actually use.

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

Linus Goerlitz Regulatory Science Transformation Lead

Nicole Glazer Head of R&D Data, Digital and Technology

Sean Baumann VP - Digital and AI, Life Sciences, Diagnostics and Applied

Niamh O'Rahilly-Drew AVP Quality

Claudio Battilocchio Digital Automation Lead R&D