Detect
AI models run locally on approved appliances, monitoring every stream 24/7 and raising an event the moment something looks actionable.
Workflow
Edge appliances raise events the moment something looks actionable. Responders self-assign in a pull-based mobile workflow, and the control plane records decisions for exports, analytics, and audits.
AI models run locally on approved appliances, monitoring every stream 24/7 and raising an event the moment something looks actionable.
Each event arrives as a complete information card: metadata, thumbnail, clip, location, and confidence; so verification starts with context.
Responders self-assign events in a pull system, verify what’s happening and update status from the mobile app; without dispatch bottlenecks.
The SaaS control plane timestamps every step in the workflow, powers analytics and exports evidence packages for audits or client reviews.
Edge
Appliances monitor video streams and raise events as soon as something looks actionable.
Context
Each event includes a thumbnail, short clip, location, and confidence—so responders start with context.
Mobile
Responders pull events from the queue, claim ownership, then confirm and proceed—or close as a false alarm.
SaaS
Every action is logged and timestamped automatically, with exports for audits and client reporting.
multiple
streams per appliance
24/7
coverage with no breaks
pull
self-assignment workflow for responders
Book a walkthrough to see how a pull-based workflow can reduce monitoring costs while improving response and reporting.