See what human eyes miss — and act before it becomes an incident.
Qavach.AI distils thousands of historical incidents into Unique Incident Numbers (UINs) — a living taxonomy of how risk actually behaves in terminal environments.
The moment a pattern emerges — across any camera, any zone, any shift — the system recognises it against the library and forecasts the likelihood and severity of a serious incident.
Specific procedural or physical interventions — directed to the right team, at the right moment — to interrupt the risk sequence before it becomes injury.
No waiting for a safety officer to review the data. No relying on someone to notice a trend.
