Space-domain Yield Network for Autonomous Policy and Scheduling Execution (SYNAPSE)

Protecting Continuity of

Mission Operations

Real-time Reality

In modern multi-domain space operations, intelligence and reconnaissance architectures face challenges related to scale, speed, and survivability against adversary disruption. Operating in fast-paced environments, space command elements must dynamically allocate hundreds to thousands of individual agents possessing different capabilities, physical constraints, and orbital parameters in order to achieve complex, time-sensitive mission objectives 

Working at the Speed of Demand

Success today depends on a ‘package’ of assets working together across domains to collect and move critical data at the speed of demand. SYNAPSE acts as the cross-domain architect, allocating sensors and synchronizing different platforms to ensure the warfighter gets the right intel at the right time. SYNAPSE bridges the gap between mathematical optimization and the flexibility of AI (Meta-Reinforcement Learning)allowing us to explore constellations autonomously and adapt to changes in system health and threats in contested environments.  

SYNAPSE functions as the mathematical and logical interpreter between the Meta-Reinforcement Learning system and the operational environment, ensuring high-level, fluid decisions made by AI are grounded in physics-based and operational reality.  

Operational Continuity

The greatest strength of SYNAPSE is in its ability to maintain mission continuity within environments actively contested by adversaries, ensuring operators maintain cohesive mission control even no matter the threat of disruption. SYNAPSE delivers: 

    • Rapid Decision Superiority: AI-driven models evaluate communication pathways at over 10,000 times real-time speed. The system is fully trainable in a single day while predicting complex simulation effects with 91% accuracy, giving operators robust, high-confidence plans in a fraction of the time. 
    • Cognitive Fleet Resilience: Utilizing “Theory-of-Mind” capability, decentralized satellite nodes act as a truly synchronized team. Satellites intelligently anticipate the actions of adjacent teammates, ensuring complex tactics and cohesive operations are executed seamlessly across the constellation. 
    • Autonomous Threat Adaptation: When electronic warfare threats emerge, individual nodes instantly recognize the danger and predict how their teammates will respond. The network dynamically routes around interference by autonomously establishing new optical or RF links with passing relay satellites, ensuring uninterrupted data flow.