Ship · Seeq

Eli Lilly used PI Event Frames and Seeq Vantage AI for faster deviation investigations and monitoring.

Eli LillyShipSeeqSeeq Vantage AIPI Event Frames

Deviation investigations were slow and asset qualification monitoring was manual, about 10 hours a month per asset. Lilly applied investigative analytics with PI Event Frames and Seeq Vantage AI for exception-based monitoring. The page states equipment cleanliness checks took 2 hours instead of 2 days and 40 relevant batches were isolated from 3,000.

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 ↗

Note: Customer examples summarized in a Seeq blog post on Conneqt 2025.