Space Computing and AI

Operating without a human in the loop, because the loop is too slow.

Scheduling, tasking and resource allocation as optimization and learning problems.

Vision for navigation, landing, inspection and relative pose estimation.

The pipeline from raw sensor readout to an analysis-ready product.

Moving compute to the sensor when the downlink is the bottleneck.

Manipulators, rovers and free-flyers, and control under delay.

A live model of the vehicle, kept in step with telemetry.

Propagators, hardware in the loop, and the simulation stack a mission depends on.

Formation flight, swarms, and networking across a moving topology.

Ingesting, storing, cataloging and serving space data at scale.