TetraScience

Manual No More: Automating the Scientific Data Lifecycle

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Some 50-80% of research scientists' and data scientists' time is spent wrestling with data before they can focus on higher value AI/ML and advanced analysis to help bring new life-saving therapeutics to market. This paper describes how a complete reimagining of discovery and development to drive scientific outcomes leads to a new world where science is accelerated with FAIR (Findable, Accessible, Interoperable, Reusable) harmonized data in the cloud.

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TetraScience launches scientific data cloud

TetraScience has announced a 5-year, $500 million investment in the ongoing development and delivery of a cloud-native, open, and purpose-built scientific data cloud that lays the foundation for AI and ML research

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