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    Home » News » Uncovr wins $7 million for AI surgical documentation infrastructure
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    Uncovr wins $7 million for AI surgical documentation infrastructure

    healthadminBy healthadminJune 16, 2026No Comments2 Mins Read
    Uncovr wins  million for AI surgical documentation infrastructure
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    Surgical artificial intelligence company Uncovr has secured $7 million in seed funding for a platform that analyzes surgical videos and automatically generates procedural coding and clinical documentation.

    Index Ventures led the startup’s seed round, with Seedcamp, Frst, No Labels Ventures, and Entrepreneurs First also supporting the round. Digital Surgery founder Jean Nehme, Color Health CEO Othman Laraki, Meta board member Charlie Songhurst, and a group of surgeons and operators also contributed to the round.

    Launched in 2025 by Ines Iraki, Johann Diep, and Eric Vibert, MD, Uncovr automatically generates procedural coding and surgical reports directly from surgical video and intraoperative workflow data.

    Index Ventures partner Martin Mignot said in a statement: “Ines, Eric and Johan have achieved something rare: won a position in one of the toughest environments in healthcare and moved incredibly quickly once they were there.” “By structuring what is happening in the operating room, Uncovr is building an extremely valuable dataset for surgical AI.”

    The company says it works with major hospitals in the U.S. and Europe representing more than 400 operating rooms.

    “Unlike ambient writing companies that force surgeons to dictate notes outside of the care flow, we focus on capturing the truth at the scene: surgical video,” Iraki told Fierce Healthcare in an emailed statement. “This approach ensures the most comprehensive notes and highest level of coding accuracy.”

    Iraki said that “one-third” of the Uncovr team is made up of surgeons, “ensuring that the company’s solutions are validated and seamlessly integrated into workflows before being coded.”

    In conjunction with the funding announcement, the startup announced the results of an analysis of real-world implementations, which found that 16% of procedures were missing billable steps and a reimbursement gap of approximately 10%. The company said this gap is due to gaps in documentation that were not detected by human review.

    Iraki said the funding will help hire “top-level ML engineers and forward deployment engineers,” adding that the company plans to expand to multiple facilities.

    “We currently have offices in New York and Paris, and our team includes talent from Mayo Clinic, Nabla, Polytechnic, ETH Zurich, and more,” Iraki said.



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