Humans decide. EmberSight informs.

A hierarchical team of AI agents reads the fire, the weather, the terrain, and the people in its path — so Incident Commanders can decide faster, with the full picture in front of them.

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The problem

IMTs aren't data-starved. They're time-starved.

Wildfire conditions change in minutes. Weather, fuel, terrain, structures, evacuation zones, crew positions — the data exists, fragmented across agencies and feeds. EmberSight runs a coordinated agent team that fuses it continuously and surfaces the few decisions that matter right now.

The agent team

Seven specialists. One commander.

Each agent owns a single dimension of the incident. A Master Incident Commander agent fuses their findings into one explainable brief — every recommendation flagged for human approval.

01Weather & Wind
Gusts, humidity, Red Flag thresholds, forecast shifts.
02Terrain & Fuel
Slope, aspect, fuel continuity, barriers, access.
03Spread Simulation
Probabilistic 30 / 60 / 120-minute spread cones with trigger points.
04Values at Risk
Structures, critical infrastructure, vulnerable facilities in the cone.
05Routing & Staging
Ingress, egress, water, and the roads to avoid.
06Resource Rec.
Suggested response packages — never dispatches on its own.
07Evacuation Intel
Watch zones, bottlenecks, vulnerable populations, warning language.

The principle

Built for the wildland-urban interface, where decisions save lives.

EmberSight augments the IMT — it does not replace it. Every action is a recommendation, every recommendation is explainable, every override is logged.

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