Platforms

SSM Aerospace AI

AI for aircraft and spacecraft, from onboard drone autonomy to analysing what is happening in orbit.

Capabilities

Drone autonomy, star trackers, satellite analytics, orbital collision prediction and space robotics.

Drone autonomyOnboard perception and planning for autonomous flight.
Star trackersAttitude determination from star-field imagery.
Satellite analyticsInsight from Earth-observation and telemetry data.
Orbital collision predictionConjunction screening and collision-risk estimation.
Space roboticsManipulation and servicing concepts for on-orbit operations.
Edge AI for flightModels sized for flight computers and power budgets.

Typical deployments. Every system is configured to the vehicle, asset or environment it runs in.

Infrastructure inspectionDrones that survey lines, towers and plants autonomously.
Space situational awarenessTracking objects in orbit and flagging close approaches.
Small-satellite missionsOnboard AI and attitude systems for CubeSats.

Prototypes and systems built on SSM Aerospace AI.

Onboard edge AI for autonomous flight, object detection and inspection missions.

Tracks objects in orbit and estimates collision risk for satellite operators.

Most systems combine more than one.

Autonomous navigation, SLAM, path planning, control, obstacle avoidance and mission intelligence.

Real-time asset monitoring, anomaly detection, RUL prediction, simulation and optimisation.

UGV, AGV, robotic arms, inspection robots, agricultural robots and physical AI.

Quantum optimisation, quantum ML, post-quantum security and hybrid quantum-classical workflows.

Share your use case and constraints. We'll come back with a technical approach, a demo and a realistic path to deployment.