Scientists at a biopharmaceutical company faced a data bottleneck in their high-throughput screens. Most could not access the screening data directly and had to rely on computational biologists to manually gather, process, and analyze it. This inefficient process slowed drug discovery.
To resolve the issue, the biopharma adopted the Tetra Scientific Data and AI Cloud™. This scalable solution automatically replatforms and engineers the screening data, making it readily available for visualization through a dashboard. Now, all discovery scientists can easily access high-quality data.
Key outcomes include:
- Rapid data search and aggregation: reduced from 1–2 days to 10 minutes
- Higher productivity: refocused computational biologists on more valuable work
- Faster decisions in hit selection: decreased from 2 weeks to 1–2 days
