A fleet that flies itself. One operator who watches.
Maestro is the autonomous platform behind Maestro Fire. It flies a fleet of drones as a single team: they coordinate, they keep working when the link drops, and they share one live picture of the ground — while one operator stays in control. Today that engine powers autonomous wildfire detection. The same platform is built to take on any mission that needs ground watched reliably.
Three Things That Turn Drones Into a Team
A single drone is a camera you steer. A fleet that coordinates, carries on without you, and shares what it sees is something else entirely. That's the platform.
Flies the Fleet as One
One operator draws an area; the fleet covers it. Maestro hands off from one drone to the next so the watch never stops at a battery swap, keeps drones at different heights so they never share airspace, and splits a large area into patches worked in parallel. You're flying a team, not a list of aircraft.
Keeps Working When the Link Drops
The autonomy runs on each drone, not in a control room. If the link to the ground weakens or drops, the drone keeps flying its part of the mission instead of freezing to wait for a signal that may not come. The drones talk to each other directly, so the fleet stays coordinated with no ground station in the loop.
Shares One Live Picture
Every drone works from the same live picture of the ground — what's been covered, what's been found, where each one is. They share it drone to drone, and it flows back to your screen too. Each mission sharpens the next. It's the difference between a set of drones and a fleet that learns.
You Plan on One Screen. Every Drone Carries the Mission.
Maestro is software for your crew — not another drone, and not just a dashboard. On the ground you plan the mission, assign the fleet, and watch it all from one screen. In the air, each drone carries the mission itself — so the work continues even when the connection doesn't.
On the ground — your screen
- Set the area; the fleet covers it
- Watch the whole fleet from one view
- Hand off between drones so coverage never lapses
- Quiet by default — you're alerted only on what needs a human
In the air — each drone
- Carries the mission, and decides in the moment
- Keeps working if the link drops or GPS gets shaky
- Talks to the rest of the fleet directly
- Sends back what it sees
One Engine. Pointed at Wildfire Today.
Maestro Fire is the platform doing real work: an autonomous fleet patrols high-risk zones, spots smoke and heat early, and sends a second drone to confirm a hotspot before the operator is alerted. It's the clearest proof of what the platform is for — coordination, onboard autonomy, and a shared picture, aimed at a problem where minutes decide everything.
Fire is the focus, not the limit. The hard parts — flying a fleet as one, carrying the mission onboard, sharing one live picture — are the same wherever ground has to be watched reliably. The platform is built so new missions are new capabilities on the same engine, not a different product.
Search & Rescue
Cover a search area in full, hand off to keep watch, and carry on when GPS gets shaky — the same coordination, aimed at finding people.
Infrastructure
Power corridors, pipelines, solar, and sites covered the same way every time, with a clear record of every pass.
Security & Patrol
A perimeter or area watched around the clock, one drone handing off to the next so the watch never lapses.
These are where the same engine goes next. Today, the product you can buy is Maestro Fire.
Runs on Standard Drones
Maestro is built on open, industry-standard drone autopilots — not a locked, proprietary aircraft. A small computer on each drone carries the autonomy and a live video feed, and the fleet reaches the operator over the link you have: WiFi, cellular, or radio. With Maestro Fire, that all arrives configured and ready to fly — you're buying a system that watches your zone, not a kit to assemble.
Autonomous, Not Unattended
Autonomy means one operator can run a whole fleet — not that no one is in charge. Maestro checks every automated move against hard safety limits before it reaches a drone, keeps a kill switch and return-home on the operator's screen, respects no-go boundaries, and records every decision for the debrief. A person always makes the call that matters.
Hard Safety Limits
Battery floors, wind limits, and no-go boundaries are never crossed by an automated decision — the safety checks always have the final word.
Stop From the Screen
Return-home and an emergency stop are one click away on the operator's screen, on top of the drone's own onboard failsafes.
A Full Record
Every automated decision is logged, so there's a clear account of what the system did and why — for the debrief, and for the people you answer to.
See the Platform at Work.
The fastest way to understand Maestro is to watch it catch a fire — an autonomous patrol spots smoke, a second drone confirms it, and the alert lands.