SAAINT_SYSTEM

Space Anomaly AI Nextgen Tool. Real-time detection, diagnostics, and prediction of space hazards for mission assurance.

UNCLASSIFIED

AI Hazard Detection

Real-Time Detection

Uses ML-driven classification to instantly identify anomalies in space systems and environmental conditions.

Predictive Analytics

Forecasts radiation belt disturbances, solar events, and orbital hazards to enable proactive mitigation.

Training Support

Injects realistic space hazard scenarios into HVLE and synthetic environments for high-fidelity training.

Resilient Architecture

Cloud-Native & Dual-Use

Built for scalability and compliance within DoW secure environments. Designed to support both military mission assurance and commercial space operations.

Physics-Based + AI Inference
Human-in-the-Loop Validation

PREDICTION_ACCURACY

NEXT_GEN

Physics-Based + AI Inference

System_Parameters

ENGINEMachine Learning

DATA_SOURCESTelemetry / Space Wx

INTEGRATIONBeacon / FORGE

DEPLOYMENTCloud-Native

Innovation_Note

Combines physics-based models with AI inference for unprecedented accuracy in forecasting, reducing reaction time and improving survivability.

Real-Time Decision Cycles