Regeneron embedded Seeq in tech transfer and cut alert noise from 700 per batch to about 40 per month.
Tech transfer bottlenecks and alert fatigue, with 700 alerts per batch, slowed scale-up. Regeneron embedded Seeq in tech transfer workflows and applied logic to suppress transient events and consolidate notifications. The page states about 40 alerts per month across three areas and better traceability and batch consistency.
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 Scale & Govern stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to monitor, govern and keep validating an AI system once it is already live in production.
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.
- 02Sanofi used Seeq to reconstruct a loss-of-sterility incident in aseptic processing.
- 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.