Expert healthcare data analysis at machine speed
Augura is building the first platform that turns healthcare data into rigorous, publishable evidence. We're working with a small number of partners. If this is your world, reach out directly.

The bottleneck isn't data.
It's turning it into evidence.
Regulatory, commercial, and payer demand for evidence keeps climbing, while the supply of qualified biostatisticians and outcomes researchers is structurally capped. Every study still runs through the same handful of specialists, for months at a time.
That's not a headcount problem you can hire your way out of — it's a knowledge bottleneck, and closing it is one of the bigger infrastructure problems in healthcare right now.
Custom-built for teams
who generate evidence
Six ways Augura
moves you closer to success
Free your experts from data wrangling
Automated, compliant data preparation from the first upload, with standardized variable mapping. Your statisticians spend their time on analysis, not on reformatting Excel files.
Run more studies in parallel
Collapse the sequential handoff between methodologist, analyst, statistician, and writer into one platform — up to 5× throughput, weeks per study instead of months.
Reproducible and audit-ready by default
Every step is traceable and every causal model expert-supervised, producing regulatory-grade output ready for FDA and EU submissions.
Expert-grade, never a black box
Augura meets the standard of a very good statistician. Every causal driver is visible and explainable — defensible to your peers and to regulators.
One platform, no handoffs
From data intake to evidence dossier in a single connected system, with continuous monitoring. No restarting from zero.
Gets sharper with every study
Each analysis feeds a growing base of causal relationships. Your next study starts smarter than your last. It's compounding knowledge.

AI-powered,
without compromising rigor

Days,
not months
What traditionally takes 12–18 months, Augura delivers in days, with the same scientific rigor.

AI-powered,
end-to-end
A fully agentic platform, from data intake to published study and continuous monitoring.

Expert-led,
gaining expertise
Methodological rigor is encoded into the platform, and compounding with every study you run.
Our founding team,
experts in clinical research

Romain Pirracchio, MD MPH PhD
Founder, Science
UCSF Distinguished Professor of Anesthesia and Statistical AI Editor at JAMA. PhD in biostatistics; 240+ publications in causal inference.

Matthieu Legrand, MD PhD
Founder, Methodology
Tenured UCSF Professor of Medicine and world-leading critical care expert. 300+ publications in NEJM, JAMA, The Lancet.

Francois Cottin, MBA
Founder, CEO
Twenty years scaling technology companies. Repeat founder, former Adobe and BCG.





