On-board autonomy, EO edge inference, and constellation operations
Space AI must operate autonomously under the harshest physical constraints in any domain: radiation-altered compute, minutes of latency to ground, and extreme SWaP-C budgets. We help satellite operators, Earth-observation newspace companies, and ground-station teams deploy AI that works on-board and on-ground — from EO image triage at the edge to constellation operations autonomy. Capability-only engagement: we bring transferable edge-AI and autonomy architecture expertise; we do not claim existing space-operator contracts.
We design space AI architectures for the constraints that matter: on-board inference on radiation-tolerant or radiation-aware hardware, EO image triage that maximises downlink value per pass, and ground-station AI that reduces operator load for constellation management. Our edge-AI primitives — built for terrestrial constrained-hardware targets in the owned, pre-production reference implementations — provide the starting point; we adapt for the radiation and SWaP-C envelope.
Based on common industry needs
Twelve to twenty-four weeks to risk-classify your AI systems, support the provider-led conformity assessment and engineer the evidence, produce the Annex IV technical documentation, and stand up post-market monitoring — with special depth on the high-risk categories that apply to autonomous, industrial, and robotics deployments
The Full-Stack Physical AI layers most relevant to this sector.
A 30-minute call is enough to diagnose whether your AI initiative is stuck for industry-specific reasons — and what to do about it.