AI news ·
Shyld AI raises $13.4 million to expand active AI platform across U.S. hospitals
Shyld AI raised $13.4M to deploy AI agents inside hospital operating rooms that take real-time action on tasks like supply checks and disinfection timing. A Stanford study found its UV-C system cut contamination by over 93%.
Shyld AI Raises $13.4M to Deploy AI Agents Inside Hospital Operating Rooms
Shyld AI closed a $13.4 million seed round to expand its AI platform across U.S. hospitals. Aulis Capital led the funding round, one of the largest early-stage healthcare AI raises to date.
The company, founded by brothers Mohammad and Morteza Noshad, builds agentic AI systems that execute operational tasks inside hospital environments rather than simply observing them. Unlike ambient AI that documents activity, Shyld AI's platform takes real-time action.
What the Technology Does
In operating rooms, the AI interprets case progression, turnover phases, staff movement, and delay drivers as they happen. The system identifies missing supplies before procedures begin, optimizes disinfection timing between surgeries, and flags scheduling bottlenecks that create costly delays.
The platform runs on VERTEX, Shyld AI's proprietary foundation model designed for edge computing. The system operates directly on devices inside hospital rooms rather than sending data to the cloud, reducing latency and preserving patient privacy.
Shyld AI's flagship product combines AI with UV-C light technology to autonomously disinfect hospital spaces. A Stanford University study published in the American Journal of Infection Control found the system reduced contamination by more than 93% compared to control rooms.
The Market Problem
Healthcare-associated infections cause approximately 72,000 deaths annually in the United States, according to CDC data. Hospital operations teams manage dozens of manual processes that create inefficiencies and safety gaps.
Next Steps
Shyld AI plans to use the funding to scale deployments across health systems and expand into adjacent regulated environments like cleanrooms and pharmaceutical manufacturing facilities.
For operations professionals managing hospital workflows, understanding AI for Operations and AI Agents & Automation is increasingly relevant as vendors deploy autonomous systems into physical environments.