Paris-based health technology company Uncovr has raised €6 million in fresh seed funding to advance its artificial intelligence system that turns surgical video into structured clinical records. The investment highlights growing interest in AI tools that improve hospital documentation, coding accuracy, and operating room efficiency.
The Uncovr Surgical AI Funding round was led by Index Ventures, with participation from Seedcamp, Frst, No Label Ventures, and Entrepreneurs First. Several well-known figures in health tech and artificial intelligence also joined the round, including founders and executives from major global healthcare and technology companies.
Founded in 2025, Uncovr is building software that automatically analyzes surgical video and intraoperative data to generate operative reports. These reports are used for clinical documentation, billing, compliance, and future patient care. The company says its system reduces reliance on manual reporting, which is often completed after surgery based on memory.
Chief executive and co-founder Ines Iraki said the goal is to capture what actually happens in the operating room and turn it into usable clinical data. She said surgeons currently spend time reconstructing procedures after the fact, which can lead to incomplete or inaccurate records.
The company argues that surgical procedures already generate rich video data, especially in robotic and minimally invasive surgeries. However, much of this information is not fully used in clinical systems. Uncovr aims to change this by turning raw footage into structured medical documentation that can be analyzed and stored at scale.
Co-founder and chief medical officer Prof. Eric Vibert, a senior surgical leader in France, has previously highlighted the challenges of incomplete operative reporting. He and other experts say missing or incomplete surgical records can affect reimbursement, compliance, and continuity of care.
Uncovr’s system is designed to address these gaps by building a detailed digital record of surgical procedures based on video analysis. The company says this improves accuracy in coding procedures for insurance and hospital billing systems while also supporting better clinical decision-making.
The startup is already working with healthcare systems in both Europe and the United States. It reports a pipeline of around 400 operating rooms and thousands of hours of surgical video data under analysis. Expansion into new hospitals is expected to continue following the new funding round.
According to Uncovr, early real-world data suggests that documentation gaps are a widespread issue in surgery. In internal analysis, the company found missed billable steps in 16% of procedures and an estimated 10% reimbursement gap caused by incomplete reporting.
Broader studies cited by the company suggest that many surgical reports fail to include a large portion of recommended clinical details. This has been linked in some research to higher risks of complications such as infection and readmission, highlighting the importance of accurate documentation.
Investors say the company is addressing a major structural problem in healthcare. They argue that operating rooms generate vast amounts of valuable data, but most of it remains unstructured and unused once the procedure is completed.
Industry analysts also point to a wider trend in healthcare artificial intelligence investment. Across Europe and the United States, startups are developing tools focused on hospital workflow automation, imaging analysis, diagnostics, and clinical data management. Uncovr is part of this growing ecosystem of healthcare AI companies targeting operational inefficiencies.
The company’s leadership team includes experts from medicine, artificial intelligence, and engineering backgrounds. This mix of clinical and technical expertise has helped it gain early traction in hospitals, according to investors involved in the funding round.
Uncovr believes that surgical video could become one of the most important datasets in modern medicine. By turning real procedures into structured data, the company aims to support improved training, research, and long-term improvements in surgical care.
As healthcare systems continue to adopt digital tools, the demand for automated clinical documentation is expected to grow. Uncovr’s latest funding gives it additional resources to expand its technology and strengthen its position in the rapidly evolving medical AI market.
