TetraScience has announced that Bayer AG will expand its deployment of TetraScience's Scientific Data Foundry across its pharmaceutical and crop science R&D operations.
Bayer uses the Scientific Data Foundry to centralise and harmonise scientific data from laboratory instruments and external CRO and CDMO partners into a unified, AI-native format.
This implementation addresses critical data silos by providing seamless integration with existing workflows while ensuring full traceability and compliance with regulatory requirements.
"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," says Linus Goerlitz, Regulatory Science Transformation Lead at Bayer.
"The platform's audit capabilities have streamlined our regulatory preparation processes."
The implementation provides Bayer's scientists with immediate access to contextualised data across pharmaceutical and crop science programmes, enabling same-day analysis and decision-making that previously required weeks of data integration.
Bayer's digital and IT teams will access self-service capabilities through the Tetra AI agent-assisted toolchain, enabling them to onboard new data sources and configure analytics applications and data flows within their enterprise data infrastructure of choice.
"Bayer's commitment demonstrates how leading organisations are building the foundation for Scientific AI through industrialised data management," says Patrick Grady, CEO of TetraScience.
"By leveraging our Scientific Data Foundry, we're establishing the infrastructure required to accelerate discovery and unlock the next generation of pharmaceutical and agricultural innovation."