Skip to main content

PLATFORM OVERVIEW

The intelligence layer for the security operations center.

Sentinel turns the cameras you already own into real-time decisions. An on-site agent does the heavy AI work where the video lives, your data stays in your network, and one console ties it all together — cloud, on-premise, or fully air-gapped. No proprietary hardware. No cloud GPU.

Cameras managed at scale in a grouped hierarchy with status and searchClick to enlarge

Any ONVIF camera, managed uniformly — from one to thousands.

3
Deployment shapes
cloud, on-prem, air-gapped — one codebase
0
Cloud GPUs required
all AI runs on the edge, on standard CPUs
Any
ONVIF camera
no proprietary hardware to buy
15
Languages
full Arabic RTL support

How it fits together

Four layers, one platform.

Most video systems are a recorder with plugins bolted on. Sentinel is built as a platform: the AI runs where the video is, the heavy lifting can move to a server pool when you need it, and the console is the same product whether it runs in your cloud or inside an air-gapped room.

Cameras

Any ONVIF or RTSP camera you already own. No proprietary recorder, no vendor lock-in.

On-site Agent

A single binary at the site that does the AI, the streaming, and camera control — all locally, on CPU.

Cloud or On-Premise

Events, faces, evidence, and audit indexed and stored where you choose, with an optional worker pool.

Operator Console

One web console for the whole job: respond, investigate, govern.

Cameras
Any ONVIF / RTSP
On-site Agent
ONNX AI · local, on CPU
Cloud or On-Prem
events · faces · evidence
Operator Console
respond · investigate · govern
Edge AI · no cloud GPU · footage stays in your network
The edge

The agent does the work where the video lives.

The on-site agent is a single binary that runs as a service at the customer’s site — it connects to the cameras, runs the AI on-device, and hosts the live video. Video and inference stay local; only events, evidence, and overlays travel onward. That’s how Sentinel keeps footage in your network and skips the cloud-GPU bill entirely.

  • On-device AI on standard CPUs — faces, plates, people, vehicles, behavior, threats
  • Live video locally — RTSP → embedded mediamtx → low-latency HLS
  • ONVIF discovery & PTZ — finds cameras automatically, controls them over ONVIF
  • Runs as a service everywhere — Windows, Linux, macOS — with auto-update + rollback
ONVIF discovery dialog listing found cameras with manufacturer, model, and IPClick to enlarge

Point the agent at the network — ONVIF discovery finds the cameras.

How it works

From cameras to decisions, then to evidence.

1

Connect

Install the agent and point Sentinel at your cameras. ONVIF auto-discovery finds them, or enter RTSP.

2

Understand at the edge

The agent runs on-device AI — faces, plates, people, vehicles, behavior, threats — and converts RTSP to HLS, locally on CPU.

3

Index where you choose

Events, faces, and clips are indexed in your cloud or on-premise; a worker pool handles re-processing and backfills.

4

Act in the console

Alerts fire, the threat picture updates, and events land on the map, timeline, and Command Wall at once.

5

Prove it later

Investigate across cameras, export sealed evidence, and account for every action in a tamper-evident audit.

See the platform on live data.

Request demo access and we’ll send you a private, pre-loaded environment — discover cameras over ONVIF, watch the live AI overlay on a multi-camera wall, and follow a detection from the edge to a sealed evidence pack.