Axtria replaced static enrollment forecasts with a Bayesian model updated from CTMS and EDC data.

Static forecasts gave fragmented outputs, inconsistent reporting and late delay detection across sites. Axtria deployed a three-phase Poisson-Gamma Bayesian model refreshing site-level recruitment predictions from CTMS, EDC and registry data into decision-ready reports. The page reports earlier detection of underperforming sites and data-driven site deactivation, but gives no numeric result.

Axtria is a commercial analytics and cloud software company for life sciences, used by pharma for field force analytics, next-best-action, forecasting and GenAI insight tools

This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.