Semaphor Surgical provides a foundational AI platform that adds perception, planning, and decision‑making capabilities to surgical devices, enabling on‑device intelligence for autonomous or semi‑autonomous procedures. The platform offers real‑time computer‑vision perception, physics‑based imaging simulation, and an autonomous planning engine through modular SDKs and APIs, allowing robot manufacturers and medical device companies to embed reliable AI without building custom solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Current surgical systems lack integrated artificial intelligence that can perceive anatomy, plan procedures, and make real-time decisions, limiting the development of autonomous or semi‑autonomous operating robots. Without a common AI infrastructure, manufacturers must build bespoke solutions, slowing innovation and increasing costs.
Solution
Semaphor Surgical creates a foundational AI platform that provides perception, planning, and decision‑making capabilities for surgical devices. The platform delivers on‑device intelligence that can interpret sensor data, generate safe instrument trajectories, and adapt actions during procedures. By abstracting core AI functions into reusable modules, Semaphor enables hardware developers to embed autonomy without reinventing underlying algorithms. The system is built on physics‑based imaging simulation and advanced computer‑vision tools, ensuring high fidelity and reliability across diverse surgical contexts. Integration APIs allow seamless connection to existing robotic hardware and control stacks, accelerating the path to intelligent, autonomous surgery.
Target Audience
Primary customers are surgical robot manufacturers, medical device companies, and research institutions developing autonomous or semi‑autonomous surgical platforms.
Features
- Real‑time perception stack with depth sensing, tissue segmentation, and instrument tracking using computer‑vision models
- Physics‑based imaging simulation framework for training and validating AI algorithms on realistic surgical data
- Autonomous planning engine that computes safe, collision‑free instrument trajectories and adapts to intra‑operative changes
- Decision‑making layer that evaluates procedural context and triggers safety overrides or alerts
- Modular SDK and APIs for easy integration with a variety of surgical robots and control systems
- On‑device execution optimized for low latency and compliance with medical device safety standards