
Mathclick builds AI-powered geospatial sensing solutions to improve industrial operations and sustainability. Its SPADE family uses generative machine learning to enhance sparse sensor data from buoys, drones, and surveys. The company combines AI models with edge devices and data-collection workflows to enable scalable digital twins for ports and water networks, including netSENS.ai for reconstructing flows from limited sensors. The products enable nowcasting and short-term forecasting of water depth and other conditions, supporting dredging, maintenance, and reduced carbon footprints in Blue Economy applications.

Mathclick builds AI-powered geospatial sensing solutions to improve industrial operations and sustainability. Its SPADE family uses generative machine learning to enhance sparse sensor data from buoys, drones, and surveys. The company combines AI models with edge devices and data-collection workflows to enable scalable digital twins for ports and water networks, including netSENS.ai for reconstructing flows from limited sensors. The products enable nowcasting and short-term forecasting of water depth and other conditions, supporting dredging, maintenance, and reduced carbon footprints in Blue Economy applications.