Fueling drug discovery with AI-native data

A leading biotechnology company uses AI to predict drug properties from high-throughput screening (HTS) data. Previously, scientists collected and prepared this data through many labor-intensive steps—an unscalable approach.

In partnership with TetraScience, the company completely overhauled its HTS data workflow. The new solution accelerates R&D, delivering immediate and lasting value to scientific, IT, and data teams.

Key outcomes:

  • Streamlined operations, freeing up 240 hours per year for scientists
  • Improved data accessibility with centralized, contextualized data in the cloud
  • Enhanced data integrity by minimizing manual, error-prone tasks
  • Future-proofed integrations and pipelines 
  • Automatically prepared AI-native data

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TetraScience International TA 102924

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