Aquacorp, S.L., founded in 2018 and based in León, Spain, is a technology company specializing in water quality monitoring. The company has developed a non-intrusive system that leverages a combination of Internet of Things (IoT), Computer Vision, and Spectroscopy to analyze surface water quality remotely and in real-time. The core of its offering is an intelligent multispectral camera that captures optical data from the water’s surface, which is then processed in the cloud or via edge AI to estimate various physicochemical and biological parameters, such as turbidity, conductivity, pH, dissolved oxygen, and COD. The firm’s B2B model operates on a Data-as-a-Service (DaaS) basis, where clients pay for the data delivered, significantly reducing initial investment and maintenance costs compared to traditional methods like manual sampling or in-situ probes. Aquacorp claims its solution can lower initial investment by up to 90% and maintenance costs by 50%. The system is designed for continuous 24/7 operation and provides early warnings and alerts to support preventive and corrective actions, thus helping to avoid environmental incidents and optimize treatment processes. The CEO is Pablo Pérez. The technology serves a wide range of use cases across the integral water cycle, including monitoring effluents, catchment points like reservoirs, wastewater treatment plant (WWTP) processes, and distribution networks. The platform, referred to as MONICAS, is designed to be scalable, allowing for the expansion of control points. Aquacorp has received co-financing from the Center for the Development of Industrial Technology (CDTI) and the European Regional Development Fund (ERDF) for a project to further develop its platform. Keywords: water quality monitoring, computer vision, non-intrusive monitoring, real-time data, spectroscopy, IoT, artificial intelligence, water technology, environmental monitoring, DaaS, effluent monitoring, wastewater treatment, surface water analysis, remote sensing, intelligent camera, predictive analytics, water management, Deep Tech, physicochemical parameters, early warning system
