Wildfire seasons start earlier and burn hotter every year, and the cheapest fire to put out is the one you catch in its first minutes. Fire and rescue teams know this, which is why aerial patrol of high-risk zones is becoming routine. But the fleets doing that work are rarely uniform. A team flies a nimble multirotor for close-in confirmation, a heavier-lift airframe it bought off the shelf, and a long-endurance aircraft to sweep wide terrain. Different drones, different radios, different apps — and, too often, one pilot chained to each one.
The hardware is not the hard problem. Making a mixed fleet work as a single, coordinated detection team — and keeping every drone on its mission when the radio link drops — is. That is exactly what Maestro is built to do.
Early Detection, Not Firefighting
Maestro is built for the early end of the fire timeline: spotting heat and smoke across defined high-risk zones, under the operator's own authorizations, before a flare-up becomes a front. This is patrol and detection work — drones survey terrain you have cleared them to fly, watch for the first signs of ignition, and bring a human a clear picture fast. It is not about flying aircraft into an active burn. Catch it early, confirm it quickly, and the people who fight the fire get a head start measured in minutes that matter.
One Operator, One Screen, Any Mix of Drones
Most drone software is welded to one manufacturer's airframe. Buy the drone, you get the app. Change the drone, you start over — new screen, new training, new workflow. Run three makes of drone and you are running three separate operations that happen to share a parking lot.
Maestro works the other way around. The intelligence — planning the patrol, coordinating the fleet, fusing what every drone sees — sits above the drones, not inside any one of them. Underneath, Maestro speaks each aircraft's own language over MAVLink, the open standard that PX4 and ArduPilot autopilots use. You tell Maestro what you want covered; it talks to each drone in the only dialect that drone understands.
So the operator never has to think about which model is which. You draw the high-risk zone on the map, set how many drones to send, and launch. Whether the aircraft underneath are identical or a complete mix — a fast rotor for confirmation passes, a long-endurance platform for the wide sweep — Maestro hides the difference and flies them as one coordinated team from a single screen. Add a new type of drone and Maestro learns to speak to it; everything above stays the same.
Coordinated, Not Just Concurrent
Flying several drones at once is not the same as flying them as a team. Point three drones at the same area without coordination and they re-search the same ground, leave gaps between them, and burn through batteries covering terrain a neighbour already cleared.
Maestro divides the zone and assigns each drone its share, keeping the aircraft separated in the air and the coverage stitched together on the ground. As batteries run low, it rotates drones back to base and brings fresh ones up so the watch over a zone can continue without a hole opening in coverage. The long-endurance aircraft holds the wide pattern; the faster rotor is freed to close in and confirm. The result is more ground watched, fewer drones flying redundant tracks, and a clearer picture for the one operator running it all.
Staying On-Mission When the Link Drops
Fire-risk terrain is rarely radio-friendly. Ridgelines, valleys, dense canopy and distance all conspire to drop the command link at the worst possible moment. On a tethered, manually-flown drone, a dropped link means the mission stalls — the aircraft waits, or turns for home, and the patch of ground it was watching goes dark.
Maestro is designed for the opposite behaviour. The plan for each drone lives onboard, so when the link to the operator drops, the aircraft keeps flying its assigned pattern instead of stalling. Coverage of the zone continues. When the link returns, the drone is already where it should be and reports back in — no replanning, no scramble, no blind spot left open while a radio reconnects. Comms loss becomes an inconvenience, not a gap in the watch.
Independent onboard safety remains in charge of the things that must never depend on a ground link — return-to-home on low battery, geofence limits, and the operator's own authorizations always govern where and how the fleet flies.
Every Drone Feeds One Picture
While the fleet is up, Maestro keeps one live picture of the patrol — where every drone is, what ground it has covered, and what it has spotted — fused into a single shared view that the operator works from. A mixed fleet feeds one shared picture instead of scattering across a different app per drone. When something worth a closer look appears, the operator sees it in context against everything else the fleet has covered, and can send notifications straight to the channels a team already runs its incidents through.
Why This Matters for Your Fleet
Public-safety budgets plan years out, but drones turn over faster than that. The aircraft you buy today is dated in three years — the rules that called for it shift, a better thermal camera comes along, a longer-endurance platform appears. Software locked to one drone gets thrown out with that drone, and the team retrains all over again.
Maestro stays. It is the layer that plans, coordinates, and remembers — while you stay free to mix whatever drones you own underneath, and to swap any of them out without retraining your team or rebuilding a single patrol. You upgrade your drones; you keep your mission.
The Drones You Already Fly
The promise is simple. You should not have to replace your fleet to make it coordinate, and you should not have to put one pilot behind every drone to watch a fire-risk zone. Maestro is built to fly a mixed fleet as one detection team, keep each aircraft on its mission when the link drops, and put the whole operation on one screen for one operator — designed so new drones are something you add, not something you rebuild around.
The interactive demo runs the full coordination across a mixed-fleet wildfire patrol — try it end to end, then see Maestro Fire and pricing, or contact us to talk through your own fleet and authorizations.