Autonomous Intelligence in Orbit
Onboard compute for satellites that process data, make decisions, and act in orbit. From onboard intelligence to mission autonomy.
LEO satellites generate far more data than they can transmit during a ground pass. Much of it is low-value: clouds, ocean, redundant frames. The result is wasted bandwidth, delayed decisions, and heavy dependence on ground infrastructure. Intelligence has to move into orbit.
Each satellite carries a multi-processor compute stack: dedicated processors for sensor data, AI inference, and real-time system control. Data is filtered, classified, and compressed onboard before it ever reaches a ground station.
Onboard AI classifies each scene in seconds. The satellite tracks its orbital position, contact windows, and available power, then schedules work accordingly. No ground operator in the loop for routine decisions. Faster alerts, lower operating cost, higher mission autonomy.
A thermal anomaly is detected and classified onboard. Fire vs. industrial heat, resolved in seconds. A priority alert is queued for the next ground pass. Response begins before the raw data reaches the ground.
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When the ground station comes into view, the satellite already knows what matters. Priority data goes first: alerts, compressed imagery, telemetry summaries. Only the highest-value data leaves orbit. The result is lower downlink cost and faster time to insight.
When one satellite detects an event, it can relay a follow-up task to a neighbor via laser crosslink. No central controller. No single point of failure. Each node schedules its own work, and the constellation can coordinate as a distributed system.
Six core capabilities that move intelligence from the ground into orbit. Reducing cost, accelerating decisions, and enabling missions that traditional architectures cannot support.
Onboard AI distinguishes clouds, water, vegetation, and built structures. Low-value data is filtered before it reaches the downlink queue.
Lower bandwidth costIdentify ships, vehicles, infrastructure, and terrain changes directly on the satellite, without waiting for ground processing.
Faster situational awarenessThermal hotspots, oil spills, and unusual activity are detected and prioritized in orbit for rapid response.
Minutes to alert, not hoursThe satellite understands its orbit, power budget, and contact windows, and schedules work accordingly.
Higher mission autonomyRadiation events, memory faults, and sensor anomalies are detected and handled onboard to keep the system operating.
Higher uptime, lower riskSatellites share tasks and relay data through crosslinks, enabling distributed operations across the fleet.
Scalable coverageThermal anomaly detected and classified onboard. Fire vs. industrial heat, resolved in seconds. A priority alert is queued before any ground station sees the raw data. Early detection at scale, without human operators in the loop.
Faster alerts. Lower response time. Reduced damage.Intelligence belongs in orbit.
We believe the next generation of satellites should process data where it's collected, not after it reaches the ground. Manyu Space is building the onboard compute platform that makes this possible. From scene classification to autonomous scheduling, every capability we develop brings satellite systems closer to true operational independence.
We're building the compute layer for LEO constellations. Satellites that process, reason, and act without waiting for ground commands. Lower downlink costs, faster decisions, higher mission autonomy.