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
