Multiverse Computing partnered with a major European naval prime contractor to design an advanced maritime surveillance AI capability that detects anomalous vessel behaviour and the potential presence of unmanned surface and underwater vehicles. The system fuses information from multiple sensor sources (VDES, AIS, radar, sonar and optical feeds) and is engineered to run end to end across both C2 on-premises infrastructure and embedded naval platforms with limited resources.
The Challenge
The client needed to identify suspicious maritime situations in real time, combining heterogeneous sensor sources to flag anomalous ship behaviours and the possible presence of unmanned surface and underwater vehicles. Standard, single-sensor or rule-based monitoring tools were too brittle to handle the diversity and volume of maritime data, and a fully cloud-based architecture was not viable under the security, sovereignty and latency requirements of naval operations. The mission demanded a multi-sensor approach that could run on-premises and at the edge.
Our Solution
Multiverse Computing designed a multi-sensor maritime surveillance capability that combines advanced detection models, anomaly detection techniques, a Complex Event Processing engine and explainability layers. The full pipeline is delivered as a containerized AI service ready to integrate into the client's existing naval surveillance platform. The same family of intelligence is designed to run end to end: in C2 on-premises infrastructure for analyst-led decision support, and on edge naval platforms with limited resources for real-time decisioning on the vessel itself.
- Multi-sensor fusion across AIS, VDES, radar, sonar and optical feeds.
- Detection plus anomaly detection plus Complex Event Processing engine for real-time situational awareness.
- Explainability layers to support analyst decision-making and audit.
- Containerized service for clean integration into the client's existing naval surveillance platform.
- Architecture designed to run end to end across C2 on-premises and edge naval platforms.
Results
Multi-sensor fusion across AIS, VDES, radar, sonar and optical feeds
Real-time detection of anomalous behaviour and potential unmanned vehicle presence
The same intelligence designed to run in C2 on-premises and onboard naval platforms
Containerized AI service ready to integrate with existing naval surveillance platforms
Explainability layers supporting analyst-led decision-making and audit
Sovereign architecture aligned with naval security and confidentiality requirements
Strategic outcome: a sovereign, multi-sensor maritime surveillance capability that operates end to end across C2 on-premises infrastructure and edge naval platforms, fuses heterogeneous sensor data into actionable alerts, and integrates cleanly with the client's existing naval surveillance environment.
