Bayer expanded TetraScience's Scientific Data Foundry across pharma and crop science R&D to harmonise lab and CRO/CDMO data.

Bayer had data silos across lab instruments and external CRO and CDMO partners. It extended the Scientific Data Foundry to centralise and harmonise that data in an AI-native format, with self-service onboarding of new sources through the Tetra AI agent-assisted toolchain. The page says same-day analysis is now possible where integration previously took weeks, and that audit capabilities streamlined regulatory preparation.

TetraScience is a scientific data company that centralises and harmonises lab instrument and partner data into AI-ready form for pharma R&D.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.