Case Study: Large Pharmaceutical Manufacturer achieves first-time-right chromatography scale-up, reduced costs and improved yield with Basetwo AI

Basetwo AI-enabled Chromatography Process Optimization

Large Pharmaceutical Manufacturer faced persistent chromatography challenges across process development, scale-up and real-time monitoring — from costly trial-and-error lab experiments to inconsistent performance when moving from bench columns to production AKTA systems. They engaged Basetwo AI, using Basetwo’s AI copilot for chromatography process optimization and virtual simulation to address resin selection, loading characteristics and elution peak control.

Basetwo AI integrated the manufacturer’s internal specs and data, ran virtual “what‑if” chromatography simulations (including adaptive pooling by absorbance) and executed rapid optimizations to tune flow rates, loading and cutoffs. The result: fewer physical experiments, increased resin utilization while maintaining yield, improved first‑time scale‑up performance and better real‑time quality monitoring — delivering lower costs, higher product quality and faster tech transfer.