Early Analysis of Surgical Robotic Procedures Found Missed Billable Steps in 16% of Cases and a ~10% Reimbursement Gap, Highlighting Broader Breakdowns in How Surgery Is Understood and Documented
Uncovr, a surgical AI company transforming how surgery is analyzed, documented, coded, and learned, has today announced $7 million in seed funding led by Index Ventures, with participation from Seedcamp, Frst, No Label Ventures, and Entrepreneurs First. The round also includes Jean Nehme (Founder of Digital Surgery, acquired by Medtronic), Othman Laraki (CEO at Color Health), and Charlie Songhurst (Meta Board Member) alongside a group of exceptional surgeons and operators. Uncovr is already working with leading hospitals in the US and Europe and has built a pipeline representing more than 400 operating rooms. In a few months, their system has analyzed thousands of hours of surgical video, building the first AI systems capable of turning complex surgical procedures into structured clinical and operational data at scale.
Uncovr automatically generates procedural coding and operative reports directly from surgical video and intraoperative workflow data, enabling hospitals to automate coding from the ground truth of a procedure rather than from documentation written after the fact. The platform improves reimbursement accuracy, strengthens clinical records, and increases visibility into surgical workflows across the operating room. The platform is being deployed across operating rooms in the U.S. and Europe.
More than 400 million surgeries are performed each year globally, and the majority are now captured on video through minimally invasive and robotic techniques. Yet after surgery, the operative report, the official record of a procedure, is still reconstructed manually from memory, by an exhausted surgeon juggling cases – often hours after the event has taken place. That operative report becomes the legal and clinical record of the procedure, the basis for billing, compliance, and the reference for future patient care. As a result, critical details are frequently lost, and much of the data generated in the operating room remains unused.
Alongside the funding, Uncovr is releasing findings from an initial real-world analysis of its deployed cases: missed billable steps in 16% of procedures and a ~10% reimbursement gap – driven entirely by documentation gaps that human review had not caught. The revenue was there. It simply was not written down. The finding echoes a growing body of evidence showing a lack of details in the operative report. A multi-institutional study of more than 1,000 surgical cases across 500 health systems found that most operative reports fail to report at least 70% of recommended clinical information – directly linked to higher rates of infection, readmission, and reoperation. These are not two problems. They are the same problem: the operative report is the single artifact that connects what a surgeon did to what a patient receives next, and to what a hospital gets paid. When it is incomplete, everything downstream suffers.
Uncovr addresses this gap by analyzing the only true source of procedural information: the surgical or endoscopic video captured in real time. Rather than relying solely on an operative report written after the fact, its proprietary models identify the steps performed during a procedure and automatically generate procedural coding and clinical documentation directly from the ground truth.
By grounding coding and documentation in what actually happened during a procedure, Uncovr helps hospitals capture revenue more accurately, improve compliance, strengthen clinical records, and create a structured procedural dataset for future surgical AI systems.
“At Uncovr, we are taking what actually happens in the operating room and turning it into something that can be reliably captured and used,” said Ines Iraki, Co-Founder and CEO. “Surgeons should not have to spend their time reconstructing from memory what a camera has already captured and becoming medical coders. The bigger opportunity is what comes after. Every robotic and minimally invasive procedure already generates a rich record of expert decision-making, technique, and judgment. We believe this will become one of the foundational datasets of modern medicine – the basis for how surgical knowledge gets transmitted and applied at scale. Surgery has always been learned by watching. For the first time, AI makes it possible to capture, structure, and transmit that knowledge at scale.”
Beyond operative reports, Uncovr uses surgical video as the source of truth to automatically generate procedural coding, capture missed reimbursement opportunities, and create structured clinical records that can be used across documentation, compliance, quality, and research.
“When we looked at our own cases, we saw clear gaps between what actually happened in the operating room and what was captured in the record and by the codes,” said Dr. Prakash Gatta, Medical Director of Complex Foregut Surgery at Texas Health Resources and VP of Clinical and Medical Affairs at Uncovr. “That has real implications, not just for reimbursement but also for compliance, coding, clinical safety, and continuity of care. This isn’t a marginal issue; it’s a structural gap in how surgery is documented today.”
“Ines, Eric, and Johann have done something rare: earned adoption inside one of healthcare’s hardest environments and moved incredibly fast once inside. By structuring what happens in the OR, Uncovr is building a highly valuable dataset for surgical AI,” said Martin Mignot, Partner at Index Ventures.
Founded in 2025 by Ines Iraki (CEO), Johann Diep (CTO), and Prof. Eric Vibert (Medical Co-Founder), Uncovr was shaped by firsthand experience across surgery, autonomous systems, and frontier AI. While working on healthcare, Iraki spent time inside operating rooms and became obsessed with the gap between what surgical systems capture and what hospitals are actually able to use. Vibert, Chief of Surgery at AP-HP, spent years confronting the clinical consequences of incomplete operative reporting, while Diep previously developed AI systems for autonomous environments in defense and at the European Space Agency.
The team includes engineers, surgeons, and medical coders from institutions including ETH Zurich, École Polytechnique, AP-HP, Mayo Clinic, HEC Paris, and Texas Health Resources/Texas Christian University. The company has expanded across Paris and New York and is accelerating deployment with leading health systems in the U.S. and Europe. The operative report is only the first application. Every year, hundreds of millions of procedures generate one of healthcare’s richest yet least utilized datasets. By transforming surgical video into structured intelligence, Uncovr is building the infrastructure layer for surgical AI, paving the way for real-time assistance, smarter operating rooms, and safer procedures at scale.
For more information, visit uncovr.ai.
About Uncovr
Uncovr is building the system of record for surgery and endoscopy, automatically generating operative reports and procedural coding from surgical video and intraoperative workflow data. By transforming what happens inside the operating room into structured clinical intelligence, Uncovr is creating the infrastructure layer for computational surgery. The company is headquartered in New York and Paris and backed by Index Ventures, with participation from Seedcamp, Frst, No Label Ventures, Baobab Ventures, and leading angel investors.
Originally announced June 10th, 2026
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