Case Study: Large Pharma Manufacturing Company boosts annual profit by $68M with Basetwo AI

AI’s Bottom-Line Impact on Pharma Manufacturing

Large Pharma Manufacturing Company engaged Basetwo AI to tackle rising COGS, suboptimal yields and intermittent batch failures in monoclonal antibody production. Using Basetwo’s AI copilot with customizable, physics‑driven modeling and integrated digital twins, the customer sought faster process understanding, tighter control, and lower cycle time across scale‑up and routine manufacturing.

Basetwo AI implemented virtual “what‑if” experiments and process‑optimization models (bioreactor yield, chromatography, scale‑up) that delivered measurable gains: COGS fell ~20% ($84/g → $67/g), titer rose 20% (3.53 → 4.24 g/L), batch failures dropped ~20% (1.12 → 0.9/year) and annual profit increased by $68M ($176M → $244M). These results align with Basetwo AI’s reported impacts (20–25% COGS reduction, 15–30% cycle‑time reduction, 10–20% fewer batch failures and ~28% higher annual profit).