Uncovr Secures $7M Seed Funding for AI Surgical Documentation Platform
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The round also saw participation from Seedcamp, Frst, No Labels Ventures, and Entrepreneurs First, along with backing from Digital Surgery Founder Jean Nehme, Color Health CEO Othman Laraki, Meta Board Member Charlie Songhurst, and a group of surgeons and healthcare operators.
Uncovr, a surgical artificial intelligence startup, has raised $7 million in a seed funding round led by Index Ventures to scale its platform that automates procedural coding and clinical documentation using surgical video and intraoperative data.
The round also saw participation from Seedcamp, Frst, No Labels Ventures, and Entrepreneurs First, along with backing from Digital Surgery Founder Jean Nehme, Color Health CEO Othman Laraki, Meta Board Member Charlie Songhurst, and a group of surgeons and healthcare operators.
Founded in 2025 by Ines Iraki, Johann Diep, and Eric Vibert, M.D., Ph.D., Uncovr develops an AI system that analyzes surgical videos to generate operative reports and procedural coding directly from operating room workflows. The company says the approach reduces reliance on manual post-procedure documentation.
According to the company, its platform is currently deployed across leading hospitals in the United States and Europe, covering more than 400 operating rooms.
Unlike ambient scribing tools that require post-care dictation, Uncovr focuses on surgical video as the primary source of clinical truth. The company says this enables more complete operative notes and improved coding accuracy.
In a statement, Index Ventures partner Martin Mignot noted that the startup has achieved early adoption in complex clinical environments and is rapidly scaling its operational footprint. He added that structuring operating room activity also contributes to building a high-value dataset for surgical AI development.
Uncovr also shared early real-world analysis based on deployed cases, reporting that 16% of procedures had missed billable steps, contributing to an estimated 10% reimbursement gap linked to documentation deficiencies not captured in standard human review processes.
The company said the new funding will be used to expand its engineering team, particularly hiring machine learning and forward-deployed engineers, while scaling deployments across additional hospital systems.
Iraki stated that the team operates from offices in New York and Paris and includes professionals from institutions such as Mayo Clinic, ETH Zurich, Polytechnique, and Nabla.
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