Shyld AI
Shyld AI develops hospital room-intelligence and UV-C disinfection systems. Its platform combines edge AI, room sensing and targeted disinfection to help operating rooms and clinical teams monitor activity, improve room readiness and document infection-control workflows.
Market context
Shyld AI is a physical healthcare automation company rather than a passive analytics tool: its system senses clinical-room activity and takes targeted UV-C disinfection actions in the physical environment. Shyld AI disinfection device
Facts
- Website: https://www.shyld.ai/
- HQ: Sunnyvale, California, United States
- Segment: Healthcare
- Known funding rounds: 1
Investors
- Aulis Capital - Lead - Vc - 1 funding event - first seen 2026-05-14
Physical AI for hospital disinfection and operating-room workflows
Shyld AI develops active hospital-environment systems that combine sensing, AI workflow interpretation and UV-C disinfection. Its focus is clinical-room automation where AI triggers physical actions in the environment.
- Target environment: Hospitals, operating rooms, patient-care spaces, regulated cleanrooms, pharmaceutical manufacturing environments and infection-control workflows.
- Deployment model: Healthcare automation model built around installed sensing and disinfection devices, edge AI, workflow monitoring and health-system deployment.
- Customer context: Health systems, hospital administrators, infection-prevention teams, environmental-services teams, operating-room managers and regulated cleanroom teams.
- Workflow context: Operating-room turnover, room activity sensing, UV-C disinfection, infection-control support, workflow monitoring, clinical compliance and environmental contamination reduction.
- Commercial maturity: Shyld AI has disclosed seed funding and health-system expansion plans. The profile is early-stage but tied to a physical device and clinical automation workflow rather than software-only analytics.
- Market position: Healthcare physical AI company in the hospital environment automation layer.
- Adoption constraints: Clinical validation, safety, hospital procurement, workflow integration, infection-control evidence, maintenance, staff acceptance and regulatory expectations for clinical environments.
- Adjacent context: Hospital automation, UV-C disinfection, physical AI, clinical operations and healthcare environment sensing.
- Source confidence: high
Team
- Mohammad Noshad - Co-founder - Founder role anchors Shyld AI around active hospital-environment automation and physical AI systems.
- Morteza Noshad - Co-founder - Founder role anchors Shyld AI around active hospital-environment automation and physical AI systems.
Context tags
- Healthcare and assistive - Customer Environment - Shyld AI targets hospital and clinical environments.
- Hospitals and surgical centres - Customer Environment - Shyld AI describes operating-room and hospital workflows.
- Autonomous facility cleaning - Workflow - The system automates disinfection actions in facilities.
- Cleaning robot OEM - Stack Layer - Shyld AI provides a physical disinfection device rather than software only.
Shyld AI canonical Korthos profile
