Mathclick

An Italian deeptech innovative startup. We develop innovative AI solutions with a particular focus on the Blue Economy and smart sensors. In 2022 we participated to the first cohort of the FAROS accelerator, and to the 7th cohort of the PortXL accelerator. SPADE (SPArse DEnse) is a family of advanced geospatial generative Machine Learning models designed to enhance the quality and utility of sparse data streams, such as those coming from sensors on buoys or drones, or coming from periodic surveys. It operates similarly to a Generative Pretrained Transformer model, like GPT4 by OpenAI, using learned patterns to generate new content. In practical applications, SPADE can be used in an industrial port setting to nowcast (provide present and past values up to 3 years back) and forecast (up to 5 days into the future) the water depth in any area of the port that undergoes periodic water depth surveys. This predictive maintenance capability can improve operations, reduce costs, and decrease the carbon footprint of port operations. It can lead to more efficient use of surveys, improved and less expensive dredging, enhanced decision-making abilities, and the transformation of survey costs into strategic investments. netSENS.ai, part of the SPADE family, is a model which reconstructs the flows in a sewer network (and soon in a water distribution network) starting from fewer fixed sensors that the standard digital twin solution, and integrating in the data flow "data gathering missions" bu operators (or drones) piloted by the AI itself. This allows for a much speeder construction of a digital twin (where absent), or a refinement of an existing digital twin. Once you have a digital twin, you can use it to pinpoint Inflow & Infiltration, or to mitigate overflows.