Paris-based surgical AI startup Uncovr has raised €6 million (approximately $7 million) in a seed funding round led by Index Ventures. The investment round also attracted participation from Seedcamp, Frst, No Label Ventures, Entrepreneurs First, and several prominent technology and healthcare leaders.
Notable investors include Jean Nehme, founder of Digital Surgery, which Medtronic acquired, Othman Laraki, CEO of Color Health, and Charlie Songhurst, a Meta board member. The funding will support Uncovr’s mission to transform how healthcare providers analyse, document, code, and learn from surgical procedures.
“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. We’re making that possible at scale.”
The funding round reflects a broader trend across Europe, where investors continue to back healthcare AI startups focused on addressing operational inefficiencies, clinical documentation challenges, medical imaging, diagnostics, and hospital workflow automation.
Founded in 2025 by Ines Iraki (CEO), Johann Diep (CTO), and Prof. Eric Vibert (Medical Co-Founder), Uncovr emerged from the founders’ combined expertise in surgery, artificial intelligence, and autonomous systems. The company seeks to bridge the gap between the vast amount of data generated during surgical procedures and the limited information traditionally captured in medical records.
While working in healthcare environments, Iraki observed significant discrepancies between the data generated inside operating rooms and the information hospitals could effectively utilize. Meanwhile, Prof. Vibert, Chief of Surgery at AP-HP, experienced firsthand the clinical consequences of incomplete surgical documentation. Diep previously developed advanced AI systems for autonomous applications in both the defence sector and the European Space Agency.
Today, the company’s multidisciplinary team includes engineers, surgeons, and medical coding experts from globally recognized institutions such as ETH Zurich, École Polytechnique, AP-HP, Mayo Clinic, HEC Paris, and Texas Health Resources/Texas Christian University.
Uncovr has expanded its operations across Paris and New York and is accelerating deployments with leading healthcare systems throughout Europe and the United States. According to the company, its technology pipeline currently spans more than 400 operating rooms and has analysed thousands of hours of surgical procedures.
The platform automatically generates operative reports and procedural coding directly from surgical videos and intraoperative workflow data. By doing so, it helps hospitals improve documentation quality, coding accuracy, reimbursement efficiency, and surgical workflow visibility.
Highlighting the challenges faced by healthcare providers, Dr. Prakash Gatta, Medical Director of Complex Foregut Surgery at Texas Health Resources and Vice President of Clinical and Medical Affairs at Uncovr, said, “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.”
“That has real implications, not just for reimbursement but also for compliance, coding, clinical security, and continuity. This isn’t a marginal issue; it’s a structural gap in how surgery is documented today.”
According to industry estimates, healthcare providers perform more than 400 million surgeries globally every year. A growing percentage of these procedures now generate video records through robotic-assisted and minimally invasive surgical technologies. However, surgeons still manually reconstruct official procedure reports after surgery, often relying on memory while managing demanding clinical workloads.
As a result, hospitals frequently miss critical procedural details that affect patient care, compliance, reimbursement, and future treatment decisions. Uncovr aims to solve this problem by analyzing surgical and endoscopic videos in real time and creating accurate, structured, and searchable procedural records.
Alongside the funding announcement, the company released findings from its initial real-world deployments. The analysis revealed missed billable procedural steps in 16% of cases and an average reimbursement gap of approximately 10%, driven primarily by documentation deficiencies that traditional review processes failed to identify.
Furthermore, a multi-institutional study involving more than 1,000 surgical cases across 500 healthcare systems found that most operative reports omitted at least 70% of recommended clinical information. Researchers linked these documentation gaps to increased risks of infection, hospital readmission, and repeat surgical procedures.
Commenting on the investment, Martin Mignot, Partner at Index Ventures, said, “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.”
By transforming surgical video into actionable intelligence, Uncovr aims to improve clinical accuracy, strengthen compliance, enhance reimbursement integrity, and support continuity of care. Simultaneously, the company is building what it believes could become one of the most valuable datasets in modern medicine, creating a foundation for the future of precision surgery and AI-driven healthcare.
