About

About SHYLD

SHYLD combines 3D lidar, radar and infrared sensing with onboard GPU processing to maintain a live model of a clinical room. The fixed system detects presence and activity locally, supporting operating-room timelines, occupancy and traffic monitoring, missing-item alerts and workflow analysis.

Integrated UV-C light delivery runs in defined zones and logs cycle activity through the management dashboard. SHYLD presents disinfection as one application of a broader clinical spatial-intelligence platform, with plug-and-play deployment, secure local storage, cloud access and over-the-air updates. Exact legacy pathogen-treatment times previously attached to the profile are not stated on the current product surfaces and have therefore been removed.

Deployments

Operating Use
500 clients - 2026-08-01 - SHYLD reports more than 500 clients using the platform.
Source

Context

Market context

Shyld AI disinfection device combines sensing, workflow interpretation and UV-C disinfection for clinical environments.

Target environment: Hospital operating rooms, clinical spaces and healthcare environments requiring high-frequency disinfection.
Workflow context: Room sensing, workflow interpretation, UV-C disinfection, infection-control support and clinical cleaning verification.
Customer context: Hospitals, surgery centers and healthcare facilities improving disinfection coverage and turnaround workflows.
Deployment model: Commercial healthcare robotics system focused on automated disinfection.
Commercial maturity: Commercial product with official company positioning.
Adoption constraints: Adoption depends on clinical validation, safety, workflow fit, facility integration, infection-control policy and cost.
Market position: Healthcare disinfection robotics lane where sensing and workflow timing matter as much as UV-C hardware.
Adjacent products: Xenex robots, UVD Robots, OhmniClean, Diligent Moxi support workflows