The autonomous mission control agent for the commercial space age. AI agents that monitor, decide, and act — 24/7, without a human on console.
Commercial LEO is booming. Hundreds of satellites, multiple operators, shrinking ground teams. When something goes wrong at 2am — nobody's watching. When a conjunction alert fires during a weekend — it waits until Monday. The industry has built incredible hardware but runs it with 1960s-era human coverage models. We can do better.
OrbitPilot is a fleet of autonomous agents — each one specialized in a domain: telemetry monitoring, conjunction avoidance, resource scheduling, anomaly triage. They run continuously, escalate only when necessary, and learn from every event. Your ground team focuses on decisions. The agent handles everything else.
Continuously monitors power levels, thermal profiles, attitude state, and communications health across your entire fleet. Flags degradation before it becomes failure. Escalates with full diagnostic context — not just an alert code.
Screens every conjunction alert against your fleet. Calculates miss probability, computes maneuver windows, drafts CAM messages, and schedules ground station contacts — all before your inbox fills up.
Coordinates ground station passes, maneuver windows, and payload tasking across your constellation — optimizing for contact quality, power budget, and mission priority. No spreadsheets. No scheduling conflicts.
When something breaks, this agent doesn't wait. It cross-references failure modes, applies known workarounds, dorms non-essential payloads to conserve power, and drafts the incident report — all in the first 90 seconds.
ISS operators, commercial station builders, satellite constellations, launch providers — all facing the same bottleneck: human availability. OrbitPilot is the autonomous layer that removes that bottleneck. Built by someone who's shipped robots to the ISS.
Every hour a satellite operates without proper monitoring is an hour of mission risk. We built OrbitPilot so that risk is handled — automatically, at scale.