Optimize production with the only AI designed for pharma

A leading global biotechnology produces a rare disease medicine worth hundreds of thousands of dollars per gram. But manual data collection undermined efficiency and quality. Aizon seamlessly integrated and securely store data from five critical sources. This reduced pooling strategy time a staggering 93%, cutting the process from days to a matter of minutes. 

A world-leading pharma manufacturer needed to reduce operational inefficiencies and costs of downstream recirculations. Aizon Unify integrated the purification data, bringing disparate information into a unified, contextualized view. We developed of a real-time predictive model capable of pinpointing the optimal critical process parameter set points. For the first time, every batch met the right-first-time criteria with a 61% reduction in recirculations. 

A major pharma manufacturer needed to boost the profitability of a process already boasting an impressive 95% yield.  Aizon leveraged the power of multidimensional analysis to better understand the interrelated unit operations and process steps. This provided specific actions to improve yield in each of the centrifugation process stages. The project created more than $20 million in annual savings, showcasing Aizon’s substantial financial impact.