Case Study: Major Pharmaceutical Company reduces batch quality risk with Seeq Corporation

Major Pharmaceutical Company - Customer Case Study

Major Pharmaceutical Company worked with Seeq Corporation to tackle the challenge of predicting batch quality in near real time for pharmaceutical manufacturing. Because lab results arrived hours after sampling, the company struggled to optimize process inputs, reduce waste, and avoid costly out-of-specification batches that could lead to major financial losses.

Using Seeq Corporation’s analytics platform with data from the OSIsoft PI historian, PI Event Frames, and Microsoft SQL batch lab results, the team built and deployed an online predictive model for yield based on key process variables like reactor temperature, volume, and concentration. The solution enabled the company to monitor in-progress batches, detect abnormal batches faster, support root cause analysis, and adjust process parameters during production—helping reduce wasted energy and materials while potentially saving millions of dollars.