Satellite constellations rely on reactive monitoring that detects link degradation only after performance has already deteriorated, leading to rain‑fade outages, handoff failures, and intermittent data loss. Operators lack a proactive, automated mechanism to anticipate and mitigate these events across heterogeneous fleets and cloud environments. This limits service reliability and increases operational overhead.
Funding
Funding not disclosed
Founders
Product
Problem
Satellite constellations rely on reactive monitoring that detects link degradation only after performance has already deteriorated, leading to rain‑fade outages, handoff failures, and intermittent data loss. Operators lack a proactive, automated mechanism to anticipate and mitigate these events across heterogeneous fleets and cloud environments. This limits service reliability and increases operational overhead.
Solution
Constellation Space delivers an AI‑driven mission‑assurance platform that forecasts link quality 3–5 minutes before degradation using physics‑informed neural networks with >90 % accuracy. When a potential outage is identified, the system autonomously reroutes traffic in under 2 seconds, preserving packet continuity without manual intervention. A universal API abstracts the underlying orbital assets, enabling seamless integration with any LEO/MEO constellation and with AWS, Azure, or on‑premise cloud stacks. Real‑time telemetry and predictive analytics are exposed through a web dashboard and programmable endpoints, allowing operators to maintain continuous connectivity and to plan capacity proactively. The solution is offered as a subscription SaaS, billed per constellation or per traffic volume, providing scalable cost control for both small constellations and large hybrid networks.
Target Audience
Primary customers are satellite operators and network engineers responsible for LEO/MEO constellations, as well as telecom providers and defense agencies that require automated, high‑availability link management across hybrid space‑ground infrastructures.
Features
- Physics‑informed neural network engine that predicts link degradation 3–5 minutes ahead with >90 % accuracy
- Autonomous traffic‑reroute engine executing decisions in <2 seconds to prevent packet loss
- Universal REST/gRPC API that normalizes control across any satellite fleet (e.g., Starlink, Kuiper, custom constellations)
- Multi‑cloud deployment model supporting AWS, Azure, and on‑premise environments with containerized microservices
- Real‑time telemetry dashboard with predictive alerts, trend visualizations, and configurable SLA thresholds
- End‑to‑end TLS encryption and role‑based access control for secure data handling in compliance with aerospace standards
- Hybrid orchestration layer that synchronizes satellite and terrestrial network state for seamless handoffs
- SDKs for Python and JavaScript enabling rapid integration into existing ground‑segment software