Ship · Seeq
A biopharma used Seeq on AWS to predict bad fill-weight batches before completion.
The company could only spot over- or under-filled product at batch end, and spreadsheets hindered collaboration. It deployed Seeq on AWS with OSIsoft PI and Amazon Redshift for self-service multivariate analytics. The page states teams can predict a future bad batch but gives no figures.
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.
Source
Published by Seeq on its own site — read the original case study on seeq.com ↗
More like this
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.
- 03Regeneron embedded Seeq in tech transfer and cut alert noise from 700 per batch to about 40 per month.
- 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.