By delivering the entire data chain, fully automated data pipelines analyze fused RGB and hyperspectral datasets collected by platforms such as AUVs, ROVs and USVs, transforming raw sensor data into highly detailed, geo-referenced seafloor intelligence in rapid timeframes. These data products can be tailored to specific operation’s needs, including defense, offshore construction, and environmental research.

Advanced processing features ensure high clarity and accuracy, including water-column correction, rectification, noise reduction and light modelling. AI-driven annotation libraries support reliable identification of seafloor properties, biodiversity indicators, and ecosystem characteristics. These libraries can be continuously enhanced by integrating domain expertise from external parties, such as subject-matter experts, regulators, and research institutions, ensuring transparent, adaptable, and use-case-specific interpretation of seafloor intelligence.