AI for Maritime Domain Awareness

Real-time AI models analyze fused AIS, radar, and satellite data to identify spoofing, dark ships, and non-cooperative vessels with >95% accuracy, enabling proactive threat interdiction. Systems are trained on global maritime patterns to reduce false positives in high-traffic areas.

Move from reactive monitoring to predictive awareness. Our models forecast vessel routes and identify high-risk rendezvous points by analyzing historical patterns and live data, providing a 12-72 hour operational forecast for naval and coast guard operations.

Continuously establish behavioral baselines for millions of vessels. AI autonomously detects deviations from normal patterns—like loitering near critical infrastructure or unusual transshipment—freeing analysts from manual watch-keeping and focusing human attention on validated anomalies.

Deployable as air-gapped on-premise systems or within sovereign cloud enclaves. All processing complies with defense-grade security standards, ensuring sensitive AIS and radar data never leaves your operational control, a critical requirement for national security agencies. Learn more about our Secure Federated Learning for Defense.

Engineered pipelines that intelligently fuse disparate, low-quality data streams—including terrestrial AIS, satellite AIS (S-AIS), coastal radar, and electro-optical imagery—into a single, coherent common operational picture, resolving conflicts and filling coverage gaps.

Delivered as containerized microservices or optimized models for ruggedized edge hardware. Integrate with existing C2 systems like ARC GIS or custom dashboards in under 4 weeks, enabling real-time analysis at the tactical edge in disconnected environments. Explore our capabilities for Secure Edge AI for Deployed Units.

We develop AI for real-time vessel tracking, anomaly detection, and threat assessment in contested waters. Our systems process AIS, radar, and satellite feeds to identify dark ships, spoofing, and potential hostile intent, directly supporting maritime domain awareness (MDA) and intelligence, surveillance, and reconnaissance (ISR) missions. Integrates with secure, sovereign AI infrastructure for classified operations.

Our AI enables automated monitoring of territorial waters and exclusive economic zones (EEZs) for illegal fishing, smuggling, and unauthorized incursions. Computer vision models classify vessel types and behaviors from live feeds, while predictive analytics help optimize patrol routes and resource allocation, enhancing sovereignty enforcement and search-and-rescue coordination.

We implement AI for port security and operational efficiency. Systems provide predictive arrival times, monitor for security breaches within port limits, and analyze traffic patterns to prevent congestion. AI-driven insights help streamline port state control inspections by flagging high-risk vessels based on historical data and real-time AIS patterns.

Our solutions protect commercial assets and optimize global supply chains. AI models assess piracy risk in high-risk areas, monitor for cargo theft, and ensure fleet compliance with environmental regulations. Predictive maintenance AI analyzes vessel sensor data to forecast engine failures, reducing downtime and operational costs for fleet managers.

We provide AI-driven risk scoring and forensic analysis platforms. Models ingest global AIS history, weather data, and port records to dynamically calculate hull war risk premiums, investigate claims for suspicious activity (like deliberate sinking), and detect fraudulent vessel identities, enabling data-driven underwriting and loss prevention.

We secure critical offshore assets like oil rigs, wind farms, and underwater pipelines. AI-powered surveillance systems detect loitering vessels, unauthorized approaches, and potential sabotage attempts. Combined with geospatial AI, these systems monitor for environmental hazards and ensure the safety of exclusion zones around high-value infrastructure.