Aerqon Fleet is a coordination system for fleets of autonomous robots and drones — it plans each machine's path, keeps the whole swarm clear of collisions, and coordinates every unit toward one shared goal.
A single machine can follow a route on its own. A fleet cannot — the hard part is many robots and drones sharing one space without colliding while still getting the job done. Aerqon Fleet builds a shared, live picture of the space and every unit in it, plans each machine's path toward the mission, predicts where paths would cross and keeps them clear, and coordinates the whole swarm as conditions change. It is built for civilian, industrial fleets — operators that run many machines at once across warehousing and fulfilment floors, depot yards, inspection sites, farms and last-mile delivery. A person sets the mission and can stop the fleet at any time.
Build one live model of the operating area and every robot and drone in it — a shared situational picture the whole fleet plans against, like a working digital twin of the space.
Continuously compute each unit's route toward the mission — the shortest safe way through, updated as the floor, the yard or the airspace changes around it.
Predict where two paths would cross before they do, and keep every machine clear of other units and of obstacles — collision avoidance across the whole fleet, in real time.
Allocate tasks across the fleet and re-plan the swarm whenever something changes — a unit drops out, a route closes, a new job arrives — so many machines behave as one.
Take in each unit's position and state and build one shared, live picture of the whole space.
Compute each machine's route toward the mission, and keep updating it as conditions change.
Predict crossing paths and keep every unit clear of others and of obstacles.
Allocate tasks and re-plan the whole swarm so the fleet acts toward one goal.
Give every machine its own autonomy and they still race for the same doorway, the same aisle, the same patch of sky. Aerqon Fleet looks at all of the planned paths together: where two would meet, it slows one, holds another, or routes a third the long way round — so the fleet stays clear without anyone standing on the brakes.
Aerqon Fleet is being built on standard cloud and CPU simulation. The heaviest work — rehearsing a whole swarm before it ever moves, and planning and optimising every route at fleet scale — is a GPU workload, so the roadmap moves it onto NVIDIA as fleets grow.
The planning and collision-avoidance algorithms, and small-scale swarm simulations, are being built on ordinary cloud compute. No NVIDIA hardware is in use yet.
As fleets grow: NVIDIA Isaac and NVIDIA Omniverse to simulate and rehearse the whole swarm in a digital twin; NVIDIA cuOpt to allocate tasks and optimise routes across the fleet; and NVIDIA Jetson for on-board perception and collision avoidance at the edge, with CUDA and TensorRT underneath.
Standard cloud and CPU simulation today, no NVIDIA in use yet; NVIDIA Isaac, Omniverse, cuOpt and Jetson are the next step.
Aerqon is an independent software company building Aerqon Fleet. Privately held, in development, and based in Oyo State, Nigeria.
| Legal entity | Aerqon · Nigeria |
| Product | Aerqon Fleet — a coordination system for robot and drone fleets |
| Stage | In development |
| Location | Oyo State, Nigeria |
| Incorporated | Nigeria, 2026 |
| Status | Privately held · no outside funding |
| Contact | abioye@aerqonai.com |
Designs, builds and runs Aerqon Fleet: the shared world model, the path planner, and the collision-avoidance that keeps a fleet moving as one.
Aerqon Fleet is built by Aerqon, Nigeria.
Request early access and we'll invite you to map your fleet, plan its paths, and watch Aerqon Fleet keep the swarm clear.