We think medical evidence is about to be rebuilt from the ground up

Healthcare faces rising regulatory, commercial, and payer demand for proof, while the number of qualified biostatisticians and outcomes researchers can't scale to match it. We're building the infrastructure for that gap, with a small number of partners, before opening up more broadly.

We turn decades of clinical expertise into reusable infrastructure

The bottleneck was never data, and it was never knowledge — it was that expert judgment lived in people's heads, one study at a time, and never got reused. Augura's founders are the researchers who generated this kind of evidence by hand for twenty years.

We built the platform that encodes what they know, so every study compounds instead of starting from zero.

We accelerate adoption of efficient care
through

Velocity

Speed without compromise. We deliver in weeks what traditionally takes months — because evidence should never be the bottleneck to better care.
Transparency

Every assumption preserved, every result traceable. We build evidence you can open, explain, and defend — to regulators, payers, and peer reviewers.
Rigor

Scientific rigor is non-negotiable. The same methodological standards as a world-class research institution — at platform speed.
Impact

We measure our success by what our partners unlock: studies published, reimbursements approved, and a knowledge base that gets more valuable for everyone.
Velocity

Speed without compromise. We deliver in weeks what traditionally takes months — because evidence should never be the bottleneck to better care.
Rigor

Scientific rigor is non-negotiable. The same methodological standards as a world-class research institution — at platform speed.
Transparency

Every assumption preserved, every result traceable. We build evidence you can open, explain, and defend — to regulators, payers, and peer reviewers.
Impact

We measure our success by what our partners unlock: studies published, reimbursements approved, and a knowledge base that gets more valuable for everyone.

We accelerate adoption of efficient care
through

Velocity

Speed without compromise. We deliver in weeks what traditionally takes months — because evidence should never be the bottleneck to better care.
Rigor

Scientific rigor is non-negotiable. The same methodological standards as a world-class research institution — at platform speed.
Transparency

Every assumption preserved, every result traceable. We build evidence you can open, explain, and defend — to regulators, payers, and peer reviewers.
Impact

We measure our success by what our partners unlock: studies published, reimbursements approved, and a knowledge base that gets more valuable for everyone.

Our team,
dedicated to AI and 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.

Jean-Paul Saliou
Technology

15+ years building enterprise AI and data platforms. Former Data/AI executive at Synopsys and Genesys.

Nicolas Delporte
Product

13 years at Genentech leading pharma R&D data product strategy.

Laurent Bride
Advisor, Technology

Former CTO, Komodo Health. CTO, Revolution Medicines.

Meghan Dierks
Advisor, Data

Former CDO, Komodo Health. Harvard MS. Former Chief AI Officer, U.S. HHS.

Laurent Metz
Advisor, Health Economics

28 years as Global HEMAR Lead at Johnson & Johnson.

Alan Hubbard
Advisor, Data Science

Head of Biostatistics, UC Berkeley. 200+ publications.

Michael Harhay
Advisor, Data Science

Founding Director, Clinical Trials Innovation. Associate Professor, UPenn. 200+ publications.

Maxwell Murphy
Biostatistics

PhD in causal inference from UC Berkeley; UCSF scholar.

Quentin Caron
AI Engineering

Former Chief Engineer at Endiatx. Deep learning from Stanford.

Jean Duthoit
Causal Engineering

UC Berkeley and Arts et Métiers.

Prathamesh Gadgil
Data Engineering

UB researcher in Pharmaceutical Sciences.

Smiling man with light brown hair and stubble, wearing a khaki shirt in natural light

Want to join?

We're looking for biostatisticians, AI engineers, and clinical research experts.

Want to join?

We're looking for biostatisticians, AI engineers, and clinical research experts.