Reactive review
Footage is often checked after an incident, leaving teams without real-time context when it matters most.
AI-powered behavior detection that helps facilities respond faster to danger, without new hardware or facial recognition.
Security teams need faster situational awareness without replacing trusted camera systems or adding invasive identity tracking.
Footage is often checked after an incident, leaving teams without real-time context when it matters most.
Live camera feeds can be difficult to monitor continuously, especially across large campuses and facilities.
New sensor networks can be expensive, disruptive, and slow to deploy when the cameras are already in place.
Alerts need human judgment so teams can act quickly without triggering unnecessary responses.
Use the camera network your facility already has, helping avoid costly hardware replacement and long deployment timelines.
SafeFrame's AI analyzes behavior across your existing camera network to flag potentially dangerous situations in real time.
The system is built without identifying individuals or storing facial data, keeping the focus on safety context instead of identity profiles.
Every alert is reviewed by a trained person before any action is taken, reducing false alarms and unnecessary responses.
SafeFrame helps schools, campuses, and facilities turn existing camera coverage into actionable situational awareness.
Keep your current camera footprint and reduce the disruption of a traditional security upgrade.
SafeFrame is designed around behavior detection and privacy-preserving deployment.
Trained reviewers help reduce unnecessary responses and provide context before escalation.
From K-12 campuses to large facilities, SafeFrame helps teams see potential danger sooner.
We tailor pricing around your facility footprint, camera count, review workflow, and deployment needs.