Summary
Used machine learning to predict batch performance early and enabled proactive intervention in biologics manufacturing. Unified siloed production, sensor, and laboratory data into a real-time decision platform. Embedded predictive insights and generative AI search into existing workflows for faster operator action. Increased yield, reduced analysis time, and scaled across multiple facilities.