Three intersecting AI systems engineered to remove operator latency, multiply situational awareness, and integrate directly with the agency infrastructure already in the field.
Every second between detection and response decides the perimeter. Our systems are designed to compress that interval — not replace the operator, but remove the friction around them.
CAL FIRE, USFS, and county agencies have decades of investment in existing infrastructure. The platform is built to read into and write back out of those systems — not require them to migrate.
Predictive modeling, swarm coordination, and autonomous re-tasking are not premium features — they are the baseline for credible BVLOS operations at scale.
Severity classification, propagation modeling, and anomaly detection working in concert — turning raw thermal and visual data into the kind of situational picture an experienced incident commander would assemble in their head, except in real time and across the entire AOR.
Autonomous waypoint generation that accounts for active threats, terrain, no-fly corridors, and fleet-wide energy budgets. The operator approves the mission shape; the system handles the geometry — and re-handles it the moment conditions move.
Direct ingestion from the same data feeds federal and state agencies already trust — not aggregated, not delayed, not cached through a vendor middle layer. When CAL FIRE updates an incident, the platform updates within the same sync cycle.
External feeds enter the intelligence layer, where threat assessment and route optimization run in parallel before surfacing to the operator and out to the airframe. Each stage is independently observable; no stage is a black box.
FIRMS · CAL FIRE · USFS · NOAA
CLASSIFY · PREDICT · ROUTE
GCA · TELEMETRY · AUTONOMY
The platform is operational today. Each subsequent milestone unlocks deeper agency integration and reduces the cognitive load on incident command.
Full-fleet command, live data integration, AI route optimizer, multi-mission orchestration.
Wind-weighted directional spread modeling. Asset-proximity exposure scoring and operational-priority ranking.
USFS InciWeb, NIFC, and local CAD integration. Two-way sync with established incident management systems.
Coordinated multi-drone dispatch, sensor coverage gap optimization, manned-aviation deconfliction.
Shared situational picture across deployed fleets. Pre-ignition signature detection. Open partner API.
Off-the-shelf drones exist. Off-the-shelf AI exists. The defensibility is in the orchestration — and that's where the patents are filed.
Mission-specific design for retardant deployment
Flow-controlled retardant delivery mechanism
AI-coordinated multi-asset dispatch process
Procurement officers, incident commanders, and capital partners — schedule a working session and we'll walk through the platform live, on your terrain, with your data.