Moon Surgical Maestro 2.7 adds multi-model AI across OR workflow

Multi-model AI arrives in the operating room

Moon Surgical has released Maestro Software Version 2.7, transforming its surgical robotics platform from a single AI capability into a coordinated multi-model system that addresses three distinct phases of the surgical workflow, according to details first reported by the company.

The Paris and San Francisco-based company announced the update introduces automated setup through physical AI, enhanced intraoperative assistance via its ScoPilot feature, and automated operative report generation through third-party AI integration. The three capabilities work in concert to reduce operational burden across pre-procedure configuration, live surgical support, and post-procedure documentation.

Automated setup and enhanced surgical assistance

The platform's automated setup feature uses physical AI to optimize positioning and workspace configuration based on multiple variables: surgeon preferences, operating room layout, surgical technique, and patient-specific anatomy. This addresses the time-consuming manual configuration that typically precedes procedures.

ScoPilot, the platform's intraoperative assistance capability, received improvements powered by expanded datasets from newly observed instruments and clinical configurations. These enhancements were enabled through Moon Surgical's FDA-cleared Predetermined Change Control Plan (PCCP), which allows the company to update AI models within regulatory parameters.

The company reports its AI models are trained on data from over 3,000 procedures, providing the foundation for continuous model validation and improvement.

Third-party AI integration for documentation

Version 2.7 marks the first deployment of an external AI application on the Maestro platform. The third-party solution converts surgical videos into complete post-operative documentation and optimized procedural coding before the surgeon leaves the operating room.

This integration demonstrates the platform's open ecosystem architecture and on-premise edge computing infrastructure, positioning Maestro as a deployment environment for multiple AI solutions rather than a closed proprietary system.

Operational improvements

Beyond AI capabilities, the update includes infrastructure enhancements: a 40 percent reduction in boot time and a mobile standby mode that enables rapid repositioning between operating rooms while maintaining platform readiness. These improvements target efficiency in ambulatory settings where room turnover and patient throughput are critical operational metrics.

Why it matters

The shift from single-purpose surgical AI to multi-model platforms reflects a broader industry evolution toward comprehensive workflow automation. By addressing setup, procedure, and documentation in a single system, Moon Surgical is tackling the operational bottlenecks that limit surgical volume—particularly relevant as healthcare systems face capacity constraints and staffing challenges. The open platform approach also signals a potential standardization path for surgical AI, where multiple specialized models can operate through common infrastructure rather than requiring separate hardware for each capability.

Moon Surgical CEO Anne Osdoit, who is also a partner at Sofinnova Partners, stated the update reflects focus on ambulatory environments where efficiency and consistency are critical. The company is deploying Version 2.7 across its installed base subject to regulatory requirements.

These details were first reported by Moon Surgical in a company announcement.