Multi-sensor fusion
Radar, SAR, optical and infrared observations form a shared operational picture.
The orbital challenge
Space is becoming increasingly crowded.
More satellites, debris and conjunctions create operational complexity that traditional workflows cannot scale with. At the same time, vast volumes of raw sensor data are still transmitted to Earth for processing — a dependency that grows with every mission. SpaceSafety AI addresses both: we are developing autonomous on-orbit data processing that understands events directly in orbit and turns that complexity into a clear, actionable picture.
On-orbit data processing
Satellite meshPrioritised downlinkGround stationConcept visualization · illustrative data
Our approach
SpaceSafety AI
A unified operational picture for detecting, understanding and responding to orbital risk — built around conjunction detection, debris intelligence and explainable decision support.
Orbital intelligence / concept
Possible encounterUncertainty corridor
Sensor fusion active · Illustrative dataAI + Physics
Conjunction
Risk assessment
Prediction
Debris intelligence
Decision support
Concept visualization — not a production screenshot
In development
Autonomous intelligence in orbit.
We are developing SpaceSafety AI as an intelligent on-orbit system that can process multi-sensor data onboard, understand relevant events and prioritize information for decision support.
From collecting data to understanding events.
Autonomous orbit intelligence active
SensorsRadar · SAR · Optical · Infrared
On-orbit AIFusion · scoring · prioritization
EventRelevance · confidence
Satellite meshCoordinated analysis
TransmissionDecision-relevant data
On-orbit AI
Information is assessed where it is generated instead of relying on continuous raw-data downlinks.
Event detection
Anomalies and relevant events are identified and prioritized close to the sensor.
Distributed intelligence
Satellites can exchange observations to support coordinated analysis across an orbital network.
Event-based transmission
Decision-relevant intelligence is transmitted first, rather than sending every raw observation.
How it works
From raw sensor data in orbit to prioritized decisions.
Sensor data is fused, understood and prioritized directly onboard — only decision-relevant information reaches the ground.
Sense
Radar · SAR · Optical · Infrared onboard
On-orbit AI
Fusion · Pattern recognition · Event detection
Assess
Relevance · Confidence · Prioritization
Deliver
Prioritized downlink · Alert · Decision
Hybrid intelligence
AI + Physics
Autonomous on-orbit processing needs both: AI evaluates sensor data directly onboard and decides what is relevant, while physics-based orbital models anchor every result and keep it verifiable on ground.
Physics
Predict · verify · constrain
Orbit model
Uncertainty corridor
Physics check
01 · Predict · verify · constrain
AI
Detect · assess · prioritize
Sensor fusion
Event detected
Priority downlink
02 · Detect · assess · prioritize
Space Safety Intelligence
Illustrative processing flow
Validation
Designed for mission-critical decisions.
Autonomous on-orbit processing only earns trust when every onboard result stays traceable: each detected event carries its sensor basis, its confidence and a physics-based check on ground before it drives a decision.
AI supports the decision. Physics validates it.
Physics-based validation
On-orbit results validated on ground
Explainable risk assessment
Confidence scoring per detected event
Human-in-the-loop decisions
Audit trails for onboard decisions
Multi-sensor cross-validation in orbit
Continuous model validation
Redundant data sources and links
Raw data retained for later review
Who we serve
Built for those operating in the orbital environment.
Satellite Operators
Monitor conjunctions, orbital risks and anomalies across active missions.
Constellation Operators
Scale space-safety operations across large satellite fleets.
Space Companies
Protect missions and reduce operational decision-making risk.
Government & Defense
Independent space situational awareness and decision support.
Integration architecture
Built to work with existing operations.
Planned interfaces include APIs, alerts, webhooks and data feeds for mission-control systems. Public production availability is in development.
External data
SpaceSafety AI
API & alerts
Mission control
Operator
Future expansion
Starting in orbit. Expanding across domains.
Space Safety is the current core. Air, Land, Sea and Cyber represent future applications of the same underlying intelligence architecture.
SpaceAir·Land·Sea·Cyber