Lokavant's Spectrum turns trial feasibility planning into a live AI simulation, cutting analysis from five weeks to five minutes.

Feasibility planning relied on spreadsheets and static documents, taking weeks and leaving enrollment timelines uncertain. Spectrum combines Monte Carlo simulation, Bayesian learning, causal AI and generative AI, drawing on about 500,000 public trials and 2,000 proprietary site-level studies. The page reports 80%+ confidence on timeline forecasts, a 70x forecast accuracy jump and 70% fewer non-conformance events.

Lokavant is a clinical trial intelligence company, spun out of Roivant, used by sponsors and CROs for risk monitoring and AI feasibility forecasting

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.