Scientific Data Replatforming | TetraScience
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.
Your immediate need builds the perfect foundation
The Tetra Scientific Data and AI Cloud is new and it is different. It provides all the core functionalities you need from traditional SDMS —and more. You can store, manage, and access your scientific data without limitations. Made for today and for the future, it allows data-centric organizations to share data and collaborate with it. It transforms your data into the atomic building blocks for Scientific AI: AI-native Tetra Data.
Tetra Scientific Data and AI Cloud, key differentiators
Open and vendor-agnostic
Traditional SDMS is provided by either instrument manufacturers or informatics applications (LIMS) providers, as part of the “walled garden” approach. Our next-gen SDMS ensures true data liquidity provided by TetraScience’s open and vendor agnostic business model.
Purpose-built for scientific data
Get purpose-engineered, compliant data for science. Draw from our science and data expertise. Harmonize your data for scientific applications. Standardize your metadata with science-relevant taxonomies and ontologies. Connect to the world of advanced analytics and Scientific AI.
Collaborative
Innovation depends on collaboration. Collaboration requires liquid, shareable data. Let your data flow seamlessly among scientific teams, partners, CROs, CDMOs, and your larger scientific ecosystem.
AI-native data
Fundamental
Collect all your valuable scientific data. Connect all your data generators and data consumers through industrialized integrations. Access your data anywhere, anytime. Purpose-engineer your data for reuse with scientific applications and future-proof your scientific data for collaboration and AI.
Shift of the paradigm
| Traditional Scientific Data Management | Tetra Scientific Data and AI Cloud |
|---|---|
| On-prem | Cloud-native |
| Files-based | Engineered data and lakehouse |
| End-point oriented and vendor specific | Data centric, vendor agnostic |
| Inline data processing extracting limited information | Event-driven data processing and engineering |
| Data and analysis disjointed with manual data movement | Colocated data and applications in a data workspace |
Explore resources
View the latest Tetra integrations
We continuously add new integrations and updates. See a full list of current integrations and upcoming releases.
See how it works
Learn how the Tetra Scientific Data and AI Cloud collects, centralizes, and contextualizes data from a wide range of scientific instruments and applications.
Discover customer success stories
Read how leading biopharma organizations are streamlining workflows, improving scientific outcomes, and driving innovation with the Tetra Scientific Data and AI Cloud.
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
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