CMR Surgical Anchors NVIDIA Physical AI Push With Largest Share of Open-H Surgical Data

New updates have been reported about CMR Surgical.

CMR Surgical has positioned itself at the core of NVIDIA’s new Physical AI healthcare robotics program by supplying the bulk of surgical data for Open-H, described as the world’s largest open dataset for healthcare robotics. The Cambridge-based surgical robotics company contributed nearly 500 hours of anonymized procedure data from its Versius Surgical Robotic System, giving it the largest single share of surgical inputs used to train Isaac GR00T-H, NVIDIA’s open vision-language-action model for healthcare robotics.

By feeding Versius telemetry and surgical video into Open-H and using NVIDIA’s Cosmos-H to generate synthetic data, CMR is effectively investing in an AI-first evolution of its platform, with potential to sharpen product performance, expand use cases, and strengthen its competitive position in robotic surgery. This collaboration is expected to accelerate the development and validation of new robotic control policies in simulation before clinical deployment, which could shorten development cycles while supporting safety and regulatory demands.

The initiative aligns with a broader industry trend toward data-driven, minimally invasive surgery and positions CMR as a key data and technology partner in an emerging ecosystem that blends clinical practice with advanced AI. Versius, designed as a highly software-centric, digitally enabled system, is configured to capture detailed intraoperative data, giving CMR a structural advantage in generating and leveraging high-quality training sets for AI models.

CMR’s leadership frames the move as both a strategic and societal play, aiming to augment surgeons’ capabilities, enhance training and simulation, and ultimately expand access to minimally invasive procedures in under-served markets. For stakeholders, the partnership with NVIDIA and participation in Open-H underscore CMR’s intent to remain at the forefront of intelligent surgical robotics, with potential long-term implications for adoption rates, hospital partnerships, and future monetization of data-driven services layered on top of the Versius platform.