Sanofi used Seeq to reconstruct a loss-of-sterility incident in aseptic processing.
A loss of sterility during aseptic processing required investigation. Sanofi used Seeq to rebuild the timeline, correlate datasets and simulate scenarios. The page states the findings strengthened system design and influenced regulatory decisions, showing analytics can support GMP compliance.
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 Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Seeq on its own site — read the original case study on seeq.com ↗
Note: Part of a Seeq blog post on Conneqt 2025 presentations.
Related use cases
- 01Eli Lilly used PI Event Frames and Seeq Vantage AI for faster deviation investigations and monitoring.
- 02Regeneron embedded Seeq in tech transfer and cut alert noise from 700 per batch to about 40 per month.
- 03A biopharma used Seeq on AWS to predict bad fill-weight batches before completion.
- 04Seeq let a biologics team compare lab and pilot batches without spreadsheets, speeding scale-up.
- 05Seeq built a live KPI dashboard for a pharma continuous manufacturing line.
- 06Merck uses OSIsoft and Seeq analytics on AWS to support continuous drug manufacturing.