Turns each trial’s tangle of CDISC files into one clean stream of events, in the same shape as the EHR and claims data used to train the Standard Model.

Outputs: Analysis-ready MEDS parquet that pools across trials and real-world data — the common foundation the rest of TrialFront runs on.

An AI co-statistician that invents the options, proposing a diverse slate of sound trial designs from a short brief.

Outputs: 10–20 credible, ranked, ready-to-compare designs spanning every strategy. You choose from the field, not the first or most popular idea in the room.

Hand it a patient population and it simulates complete patient trajectories — efficacy, safety and dropout — week by week.

Outputs: A realistic preview of how a trial will read out before you enroll a single patient.

An AI agent that writes the statistical analysis, then runs each design across thousands of simulated trials using individual patient trajectories.

Outputs: Defensible, reproducible success odds for every candidate design.

Ranks every candidate design by what you care about and lays the trade-offs on a single map.

Outputs: The design that best fits your priorities, with the compromises made explicit rather than buried inside one score.