HS Maritime Platform
AI & Digital Twins for Smarter, Safer, and Cleaner Fleets

Our HyperXSpace simulator creates high-fidelity digital replicas of vessels and their operating environments, combining:

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• Visual 3D simulation for mission rehearsal, crew training, and autonomy validation.

• Data-driven models that integrate CAD geometry, IoT sensor feeds (vibration, thermal, acoustic, propulsion), hydrodynamic, meteorological, and environmental data.

 

This dual capability enables both human-in-the-loop validation and machine-learning training, allowing operators to:

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• Model fuel and hull performance under diverse sea and load conditions.

• Simulate heavy weather or ice navigation before deployment.

• Cut development time by up to 70 % and reduce live trial costs by up to 80 %.

Built on Humanitas’ AI Pipeline, OCEANIC transforms raw vessel data into actionable foresight.

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• Multi-modal data ingestion: Vibration, thermal, acoustic, shaft-line, and fuel telemetry are collected and fused for a complete picture of system health.

• Model training: AI models first learn from synthetic data generated in HyperXSpace, then refine continuously with live data from the vessel.

• High-accuracy forecasting: Algorithms achieve >90 % precision in predicting faults, enabling proactive maintenance scheduling.

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How Our Digital Twins Power Predictive Maintenance

 

Our maritime digital twins extend beyond visualization—they replicate both the physical behavior and operational context of ship systems.

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• Full-system visibility: Fusion of sensor data with physics models estimates unmeasured states such as internal temperatures, bearing wear, and torque loss—providing insight beyond what sensors alone capture.

• Synthetic data generation: When historical fault data is scarce, twins create thousands of simulated scenarios—normal, faulted, and variable environments—to train AI for Remaining Useful Life (RUL), anomaly detection, and fault classification.

• What-if analysis: Test maintenance strategies and failure modes in a safe virtual setting before touching physical assets.

• Self-calibration: Online estimation (e.g., Extended Kalman Filters, Recursive Least Squares) adapts each twin to real operating conditions—sea state, temperature, load—ensuring continuously accurate predictions.

• Subsystem coverage: Propulsion engines, generators, pumps (bilge, cooling, fuel), steering hydraulics, heat exchangers, HVAC, ballast, and batteries—modeled with the appropriate fidelity for each system.

 

Impact: fewer unplanned outages, optimized maintenance windows, and decisions based on the true condition of your assets—not a fixed schedule.

Modern fleets depend on reliable, low-latency communications. OCEANIC integrates Humanitas’ Nano Data Center (NDC) nodes to ensure seamless onboard intelligence and continuous shore-to-ship synchronization.

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• Edge AI processing: Local analytics and inference run directly on the vessel, avoiding satellite-link latency.

• Hybrid connectivity: NDC nodes combine with satellite systems (e.g., Starlink Mini) and maritime interfaces to maintain real-time communication—even in polar or offshore regions.

• Operational resilience: Guarantees mission-critical data flow for navigation, predictive maintenance, and safety systems.

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Result: continuous connectivity, faster onboard decision-making, and reduced reliance on costly high-bandwidth links.

HyperXSpace simulates and validates system behavior in risk-free environments.

AI Pipeline learns from both synthetic and real data to generate predictive insights.

NDC Edge Nodes execute these insights in real time at sea, syncing data back to HyperXSpace for model refinement.

This feedback loop creates a self-improving ecosystem for maritime operations—continuously learning, adapting, and optimizing.