Research at SiliconBrain AI
We treat research as core infrastructure — every production system traces back to a rigorously validated hypothesis about how AI should behave in space.
Research Areas
Research Roadmap & Future Research
Phase 1 — Foundations
Telemetry analytics, fault detection, and explainability infrastructure across ground systems.
Phase 2 — Onboard Intelligence
Deterministic edge inference and TinyML deployment on flight-qualified hardware.
Phase 3 — Autonomy
Constrained reinforcement learning for real-time anomaly response without ground intervention.
Phase 4 — Fleet-Scale Intelligence
Multi-agent coordination across satellite constellations with shared digital twins.
Research Collaborations
We actively seek collaboration opportunities with space agencies including ISRO, IN-SPACe, NASA, ESA, and JAXA, as well as universities and SpaceTech companies globally, on joint research programs, data-sharing agreements, and technology demonstrations.
Research Interests
Physics-informed learning, uncertainty quantification for safety-critical systems, multi-agent autonomy, generative models for synthetic telemetry, and interpretable-by-design architectures for regulated aerospace environments.