Seeq let a biologics team compare lab and pilot batches without spreadsheets, speeding scale-up.

Scientists exported data from different historians to Excel to overlay lab and pilot batches, so new experiments were easier than analysis. Seeq Workbench combined the sources and calculated scale-up metrics, KPIs and oxygen uptake rates. The page states development time savings equivalent to $1.5 million, plus $87,000 and $70,000 of engineering capacity.

Seeq is an industrial analytics software vendor used by pharma and biotech engineers for batch analysis, deviation investigation and scale-up

This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.