Hyperios offers a cloud‑native platform that fuses fragmented, multimodal sensor data using physics‑aware AI to produce a high‑fidelity view of space and missile threats.
Funding
Funding not disclosed
Founders
Product
Problem
Space and missile threat detection often relies on isolated, high-cost sensor systems that provide limited coverage and are vulnerable to single-point failures or deception tactics. This fragmentation hampers timely identification and accurate characterization of emerging threats across the upper atmosphere and very low Earth orbit (VLEO).
Solution
Hyperios delivers a cloud‑native platform that fuses fragmented, multimodal sensor data using physics‑aware artificial intelligence. By aggregating low‑cost, existing sensor observations—including ionospheric disturbance measurements—the system generates a high‑fidelity, real‑time picture of space and missile activities. The distributed fusion architecture provides resilience against deception and sensor outages, while its scalable design allows rapid integration of new data sources. The platform outputs actionable detection and characterization of supersonic objects, rocket launches, ballistic missiles, re‑entries, and VLEO objects, enabling earlier and more confident threat identification for command and control (C2) systems.
Target Audience
Primary customers are defense and intelligence agencies, missile defense operators, and space situational awareness organizations that require scalable, cost‑effective monitoring of space and missile threats.
Features
- Physics‑aware AI models that translate heterogeneous sensor inputs into accurate threat signatures
- Automatic, real‑time detection of supersonic objects using ionospheric disturbance data
- Boost‑phase detection of rockets and ballistic missiles with near‑global coverage
- VLEO object tracking and orbital characterization through advanced sensor fusion
- Predictive analytics for trajectory forecasting and threat assessment
- Cloud‑native, distributed architecture that ensures robustness to single‑point failures and deception
- Seamless integration with existing C2, SDA, and BMD systems via standard APIs