Planned research vector
Superintelligence for orbital reasoning
A planned research vector exploring how autonomous reasoning could decentralize decision-making for deep-space and high-latency missions.
PROTOTYPE/PLANNED
What do you want to understand about the universe?
An exploratory console for astrophysical questions. Designed API-ready for integration with planned mission systems. Not a working AI system.
Planned cognitive stack
Three proposed capabilities
Core reasoning models under study address the following areas.
Trajectory
Autonomous trajectory recalculation
Proposed onboard models that recompute orbital trajectories when conditions change, reducing dependence on high-latency ground correction.
Sensing
Onboard sensory distillation
Planned methods to filter and compress raw sensor data into the observations that matter, before transmission.
Science
Scientific synthesis
Proposed reasoning models for astrophysical discovery, constellation self-healing, and anomaly detection across mission data.