See the fire
before the alarm.
Argus AI turns existing CCTV cameras into a fire-detection network: object-detection models (YOLOv12, RF-DETR) plus a decision-intelligence layer that validates every detection — sub-second alerts, no new hardware, running locally on your own servers.
Smoke detectors need the fire to come to them.
A traditional detector triggers when smoke physically reaches it — indoors, near the ceiling, minutes into the event. Construction sites, recycling yards, schoolyards and industrial halls often can’t use them at all. Yet almost every one of those places already has cameras, pointed at exactly the right spots, seeing everything and understanding nothing.
Our research teaches the cameras. Detection models trained on extensive labeled fire and smoke datasets, validated by a decision layer that checks color and motion patterns and outputs a probability — not a guess. The result runs on local servers, respects your infrastructure, and has graduated from the lab into a live product.
The cameras were already watching. We taught them what to look for.
From pixels to a decision you can act on.
Detection models
Taught on fire, tested on chaos
Decision intelligence
An alert you can trust
Alerting
Sub-second, wherever you are
Deployment
Your cameras, your servers
