Why Augura exists

Healthcare innovation has an evidence problem:
What is the true real-world impact?

Hundreds of AI healthcare tools have made it to market — through regulatory clearance, certification, or simply launching a product. But reaching the market doesn't equal adoption. It doesn't equal reimbursement. It doesn't equal trust.

Innovators struggle to generate the clinical evidence and health economics data that buyers require. Health systems deploy new tools without infrastructure to measure whether they work. The gap between "cleared" and "clinically adopted" is where promising technologies stall.

Augura exists to close that gap. We build the intelligence and evidence generation pipelines that prove healthcare innovation delivers real clinical and economic value.

What we believe

Evidence requires infrastructure. You don't build evidence generation pipelines in-house any more than you build your own cloud servers. It should be reliable, specialized, and available when you need it.
Healthcare innovation is too important to fail on evidence. These technologies can improve outcomes and reduce costs—but only if they earn clinical trust and demonstrate measurable impact. We exist to make that happen.
Speed and rigor aren't opposites. Modern study designs—adaptive trials, real-world evidence, federated analysis—let us move faster without cutting corners. The goal is rigorous evidence on commercial timelines.
Intelligence compounds. Every study we conduct, every regulatory pathway we navigate, every outcome we measure adds to our platform's knowledge. The more cases we handle, the smarter our evidence strategies become.
Launch isn't the finish line. Whether your product required regulatory clearance or not, getting to market is necessary but not sufficient. The real challenge is generating the clinical and economic evidence that drives adoption, reimbursement, and trust.

What we believe

Evidence requires infrastructure. You don't build evidence generation pipelines in-house any more than you build your own cloud servers. It should be reliable, specialized, and available when you need it.
Intelligence compounds. Every study we conduct, every regulatory pathway we navigate, every outcome we measure adds to our platform's knowledge. The more cases we handle, the smarter our evidence strategies become.
Healthcare innovation is too important to fail on evidence. These technologies can improve outcomes and reduce costs—but only if they earn clinical trust and demonstrate measurable impact. We exist to make that happen.
Launch isn't the finish line. Whether your product required regulatory clearance or not, getting to market is necessary but not sufficient. The real challenge is generating the clinical and economic evidence that drives adoption, reimbursement, and trust.
Speed and rigor aren't opposites. Modern study designs—adaptive trials, real-world evidence, federated analysis—let us move faster without cutting corners. The goal is rigorous evidence on commercial timelines.

Our founders

Romain Pirracchio, MD MPH PhD
Chief Scientific Officer

Inaugural Ronald D. Miller Distinguished Professor at UCSF, Executive Vice Chair for the Department of Anesthesia and Perioperative Care at UCSF, Chief of Anesthesia at ZSGH, Associate and Statistical AI Editor at JAMA. Romain is trained as both a physician and a biostatistician (PhD in Biostatistics; MPH from Harvard), and leads a joint UCSF–UC Berkeley research lab pioneering the use of AI, machine learning, and causal inference for clinical decision support. He has authored over 240 peer-reviewed publications. Romain embodies the integration of rigorous clinical science with the advanced analytical methods that have transformed healthcare research.

Matthieu Legrand, MD PhD
Chief Medical Officer

Tenured Professor of Medicine and Director of Clinical Research in the Department of Anesthesia and Perioperative Medicine at UCSF. A world-leading expert in critical care and perioperative medicine, Matthieu has dedicated his career to generating evidence that improves patient outcomes. He has led multiple randomized controlled trials and authored over 300 peer-reviewed publications in The New England Journal of Medicine, JAMA, The Lancet, and other top-tier journals. Matthieu co-founded Augura to address a critical gap in healthcare AI: the need for comprehensive solutions that ensure both technical validation and meaningful clinical outcomes. His expertise spans clinical research methodology, biostatistics, and regulatory pathways with deep understanding of the challenges facing medtech innovators.

Francois Cottin, MBA
Chief Executive Officer

Twenty years building and scaling technology companies. Former founder, CEO, GM, BCG consultant, and Senior Director at Adobe leading enterprise go-to-market including AI/ML products. Deep experience in B2B sales cycles, enterprise procurement, and bringing complex technology to market. Francois built Augura because the evidence gap isn't a clinical problem, it's an infrastructure problem that requires a platform to solve.