Monitoring
Continuous, multi-site camera feeds unified into a single operational view so security teams manage their entire estate from one interface rather than switching between disconnected systems by site.

Public Infrastructure
Most enterprise surveillance deployments have the same structural flaw: footage is recorded comprehensively and reviewed selectively after something has already gone wrong. We connect IP cameras, edge analytics, and command workflows into a platform where detection is continuous, classification is automated, and the operator is notified because intelligence decided the event warranted it.
Product Overview
A Camera That Nobody Is Watching Is Just a Storage Device.
Most enterprise surveillance deployments have the same structural flaw: footage is recorded comprehensively and reviewed selectively after something has already gone wrong. We connect IP cameras, edge analytics, and command workflows into a platform where detection is continuous, classification is automated, and the operator is notified because intelligence decided the event warranted it.
Move beyond passive recording. The platform turns live streams into verified, actionable security intelligence with the governance, audit trails, and integrations enterprise security teams require.

Key Features
Continuous, multi-site camera feeds unified into a single operational view so security teams manage their entire estate from one interface rather than switching between disconnected systems by site.
Edge-based AI classifies motion, persons, vehicles, and anomalous behavior in real time, eliminating the manual review burden that makes most surveillance footage reactive rather than preventive.
Every event is timestamped, encrypted, and retained with chain-of-custody integrity so when an incident requires reconstruction, the record is complete, defensible, and immediately accessible.
Health monitoring, firmware updates, and configuration management across every connected device from a centralized console, removing the field visits that most multi-site deployments still depend on.
How It Works
Onboarding begins at the edge. IP cameras, RTSP streams, and IoT sensors across every site register through a hardware-agnostic integration layer. Edge processors handle stream normalization, encryption, and device health synchronization locally.
Frame-level AI runs on-device, classifying objects, behaviors, and policy violations before footage leaves the camera. By the time an event reaches the operator console, it has already been verified, deduplicated, and tagged with the classification that determines its urgency.
Routing logic determines who receives what, and when. Alerts arrive structured with severity, location, camera ID, and the classified footage that triggered them, so the responding operator has the full picture before they make a single decision.
Post-event investigation runs inside the same platform that captured the event. Search by time window, camera, classification, or event type and export with chain-of-custody metadata intact.
Move beyond passive recording. The platform turns live streams into verified, actionable security intelligence with the governance, audit trails, and integrations enterprise security teams require.