
Hydrotwin provides real-time monitoring and analysis of underwater sound to identify and track natural and human-made noise sources for environmental monitoring and maritime decision-making. It creates a digital twin of the marine soundscape and uses AI, numerical modelling, and edge computing to classify and localize acoustic sources while reducing data transmission. The company offers a SaaS platform that combines IoT sensors, high-performance and edge computing, and cloud-based analytics for near-real-time insights. Typical customers include industries and researchers needing environmental impact assessment, marine monitoring, or maritime security data. Hydrotwin’s stack targets deployments at scale for continuous monitoring and integration with existing marine operations and research workflows.

Hydrotwin provides real-time monitoring and analysis of underwater sound to identify and track natural and human-made noise sources for environmental monitoring and maritime decision-making. It creates a digital twin of the marine soundscape and uses AI, numerical modelling, and edge computing to classify and localize acoustic sources while reducing data transmission. The company offers a SaaS platform that combines IoT sensors, high-performance and edge computing, and cloud-based analytics for near-real-time insights. Typical customers include industries and researchers needing environmental impact assessment, marine monitoring, or maritime security data. Hydrotwin’s stack targets deployments at scale for continuous monitoring and integration with existing marine operations and research workflows.