The World’s Only Open, Collaborative, AI-native Scientific Data | 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.
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What is Tetra Data?
Tetra Data is your fully transformed data and the atomic building block of Scientific AI.
Tetra Data is designed and manufactured in the Tetra Scientific Data and AI Cloud via a highly sophisticated data engineering process in which raw scientific data is transformed into the customer's AI-native data.
This scientific data industrialization process transforms static, subscale, proprietary, and/or unstructured data contained in vendor-specific silos, into liquid, large-scale, engineered, and compliant data.
AI-native Tetra Data — comprising scientific taxonomies and ontologies — revolutionizes lab management, scientific use cases, CMC, and biopharma and CxO collaboration.
Transform raw data into AI-native data
Raw data
Vendor-specific
No AI utility
Vendor silos represent a subset of customer data, inhibiting scale
Vendor-specific formats and/or unstructured data limit data engineering
Vendor silos, raw data, and legacy stacks limit data liquidity
Vendor data silos serve as structural impediments to Scientific AI
Replatformed data
Centralized in the cloud
Precondition for data engineering
Liberated from silos, now unified in the cloud
Compliant, traceable, with full data integrity
Contextualized for scientific use cases
Includes meaningful, AI-relevant metadata
Engineered data
Sophisticated data engineering
AI-native data
AKA Tetra Data
Transformed into a harmonized, open, vendor-agnostic format
Sophisticated scientific taxonomy and ontology design
Contextualized to enable real world scientific use cases
Industrialized scientific data at scale as a foundation for Scientific AI
Tetra X Data
Shareable and extensible
Fuels data scale, liquidity, and context
Collaborative and extensible AI-native scientific data
Shareable across CROs, CDMOs, and other critical partners
Unprecedented data liquidity fuels even greater data scale
Liquid and collaborative AI-native data yields transformational outcomes
Tetra AI
Scientific expertise
Data engineering
AI
The world's only open, purpose-built, and collaborative scientific data and AI cloud
Uniquely combining deep expertise in science, data engineering, and AI
End-to-end scientific data workflows spanning scientific use cases and modern data and AI stacks
Industrializing large-scale, liquid, engineered, and compliant scientific datasets combined with AI to produce transformational outcomes.
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