GeoForecaster 11
AI driven predictive analytics program. We built a new proprietary algorithm to identify and quantify global trends. Global Forecaster 11 is our Geopolitical Intelligence Platform delivering 90%+ prediction accuracy using our algorithms and open-source intelligence. The system transforms complex geopolitical analysis from a 20+ year analyst training process into rapid, automated intelligence delivery running on standard laptop hardware.
Space Command-and-Control (C2) system
Space Command-and-Control (C2) system that operates ground in the loop when links are healthy, but can transition to onboard autonomous control when contact is broken—while staying safe, resilient, and cyber hardened. Mission-assurance and safety focused (i.e., suitable for civil, commercial, and defensive operations).
Multi-Sensor Launch-Like Event Detection & Classification
Fast Time Frequency Fingerprinting for EO/IR + Seismic Fusion. The approach is performance-based and scalable: edge nodes produce hashes instead of raw data, enabling low-bandwidth transport and distributed deployments. A fusion layer correlates hash votes across modalities to confirm detection, estimate onset time, and (when trained) assign a coarse event-family classification (e.g., launch-like vs common confusers). Evidence bundles generated from the contributing landmarks provide auditability and analyst trust.
Rules Compliance Engine
Easily modifiable module to develop integrated rules compliance engine. Speeds code to application in DevSecOps environments.
ORBITAL COMMAND
Next-Generation Satellite Tracking & Orbital Debris Monitoring System. Orbital Command represents a paradigm shift in satellite ground control operations, integrating real-time SGP4 orbital propagation with predictive deviation analysis in a browser-based 3D visualization environment. This whitepaper documents the technical architecture, mathematical foundations, and operational capabilities of a system designed for mission-critical space situational awareness (SSA).
Leveraging the Navier–Stokes Equations for Monitoring Objects in Earth Orbit
Leveraging the Navier–Stokes Equations for Monitoring Objects in Earth Orbit. Monitoring objects in Earth orbit—particularly in Low Earth Orbit (LEO)—depends critically on accurate prediction of orbital perturbations driven by atmospheric drag. While orbital dynamics are primarily governed by Newtonian mechanics, the dominant uncertainty in LEO orbit prediction arises from imperfect knowledge of thermospheric density and dynamics.
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