Ghost Ship Prophet (GSP)

Revolutionary AI-Powered Vessel Trajectory Prediction

Background:

Analysts must predict where to point limited imaging assets when tracking maritime vessels across millions of square kilometers. A misdirected satellite pass wastes hours and millions in operational costs.

Our Solution: Quantum-Inspired Advanced Neural Networks

Our Quantum-Inspired Advanced Neural Network achieves 95.05% accuracy within 25km and 85.14% within 5Km in location prediction based on synthetic data. Unlike traditional systems dependent on cloud infrastructure and external power sources, GSP runs on the Overmountain Scoured Sentry (OSS) platform. A completely offline system with all artificial intelligence processing conducted locally on proprietary next-generation hardware, ensuring zero latency, maximum security, and total operational independence. This hardware can operate on solar power indefinity, anywhere in the world, or from a simple wall outlet.

Why This Matters

Strategic Impact:

• Transforms reactive tracking into proactive positioning

• Provides hours of advance positioning locations.

The Challenge: A Uniquely Complex Dataset

Our system was validated on synthetic data. GSP was engineered using 369,181 trajectory points across 44 vessels spanning two full years of operations, meticulously calibrated against Open Source Information to replicate authentic operational patterns.

This isn't a sanitized academic dataset with clean trajectories. It's the maritime problem in its full, messy reality: sparse observations, multi-theater operations, vessel-specific behaviors, and the fundamental challenge that makes vessel tracking so difficult. Use our contact form to get in touch with us for additional information.