ARCHANGXFinding fires from orbit, in minutes, not downloads
Earth-observation constellations now capture far more data than can be sent to the ground. ArchangX detects wildfires where the data is captured, so what comes down is an alert, not a raw image.
From pixel to response
Physics-informed scoring
A hybrid of thermal physics and machine learning scores each anomaly, which keeps detections explainable and robust to clouds, sun glint and naturally hot surfaces.
Onboard and orbital processing
Scoring runs on the satellite and in the orbital data centre, cutting the time between the first heat signature and an alert on the ground.
Geolocated events
The output is a fire event with a location, not an image to be searched: ready to retask satellites and to reach the people who respond.
Built for operations
Designed around real emergency workflows: tasking, logistics and the agencies that act on an alert.
Less data down, faster answers
Downlink capacity, not sensors, limits how fast a fire is seen. Processing at the edge sends the answer first and the evidence after.
- Detection where the imagery is captured
- Only events and evidence are downlinked
- Heat signatures confirmed with thermal physics, not only patterns
- Each event can trigger more observation of the same area