Healthcare Technology
Alert before the fall — without sending patient video to the cloud.
Built for CMIO teams who need real-time visual intelligence without rebuilding an entire vision stack. EdgeReadyAI Hybrid SDK — edge inference where latency, privacy, or connectivity demand it.
Healthcare Technology
Measure compliance without identifying staff
HAIs kill tens of thousands annually; CMS penalties and reputation damage follow preventable compliance gaps. Manual observation audits capture less than 1% of hand hygiene events. Privacy-compliant edge nodes detect gel usage at sink/dispenser zones as metadata events — no face storage.
HAIs in US hospitals: 99,000 deaths/year · Hand hygiene compliance: 94% vs 68% baseline
Deployment: edge · Integration: Infection control dashboard

More use cases
How EdgeReadyAI fits healthcare technology
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.

Fall Detection & Prevention
Fall alerts in milliseconds — patient video never leaves the room. Patient falls cost $30K+ per incident in extended stays, injuries, and liability; network lag means alerts arrive too late. Improve alert latency from 850 to 120 with edge mode inference.

Virtual Sitting at Scale
One virtual nurse, twelve rooms — edge does the watching. 1:1 human sitters for high-risk patients bankrupt depleted nursing budgets while coverage gaps persist on night shifts. Improve sitter staffing ratio from 1:1 to 1:12 with hybrid inference.
Healthcare Technology
Improve HAI prevention — privacy-safe pilot
Talk to us about deploying the Hybrid SDK for hand hygiene compliance (privacy-safe) in your environment.