AI-native, hardware-agnostic orchestration for autonomous robot fleets.
We are not building better robots. We are building the intelligence that lets fleets of them plan, coordinate and recover together — proven in simulation first. Full site coming soon.
Author a mission in structured controls or plain language; the constraint ruleset checks it before anything is dispatched, and refuses it with the measured value, the limit and the value that would work. Then watch the fleet take station — in a 3D twin or a top-down plan view, both driven by the same mission state, beside the mission's own event log.
Screenshots are the console's own output, replayed from a recorded run. All state shown is produced by AEROE's kinematic simulator — no figure on this page is evidence of physical flight.