We offer a predictive energy management system supported by AI, which learns the energy profiles of a building infrastructure, in order to forecast its energy demand for an autonomous and optimized operation of the energy systems (HVAC), in terms of energy (W), costs (€) and emissions (CO2). As our technology is based on self-learning algorithms it is able to detect machine’s small faults before they become a major issue, therefore we offer also a predictive maintenance solution.