Identify the areas or time periods where your sensors have no visibility, leading to potential gaps in surveillance.

Monitor and analyse objects around a specific satellite for heightended proximity awareness and threat assesment.

Predict and visualise the trajectory specific space objects.

Long-term tracking of a satellite’s actions to identify routine patterns or anomalies (e.g., sudden maneuvers, unusual orbital shifts). Useful for threat detection and attribution.

Detect potential collisions (10x faster than traditional systems) and generate CDMs (i.e. collision alerts) (within 15 seconds).

Compute optimal maneuvers to correct orbits or avoid collisions.

Optimise sensor network tasking to maximize coverage of orbital zones and ensure timely object detection.

Create high-fidelity optical datasets to test pipelines, train AI, and analyse visibility under varied conditions.

Simulate deployments, maneuvers, conjunctions, or breakups to test response protocols, train analysts, and reconstruct timelines.

Evaluate sensor performance under interference, diffraction, noise, and other environmental variables.