Enersee is a Belgian software company that builds AI-powered platforms to help enterprises manage energy consumption across their building portfolios. The company's core product automatically analyzes energy data from thousands of sites, detecting inefficiencies that would be missed by manual methods and prioritizing issues by impact. Its machine-learning models use historical consumption patterns, weather data, and building metadata to identify anomalies in real time, functioning as a 24/7 virtual energy manager.
The platform addresses the practical challenge of energy management at scale. Rather than overwhelming facility teams with alerts, Enersee surfaces the anomalies and opportunities that matter most, enabling faster action. In one documented case, the system identified refrigeration inefficiencies in a Delhaize store, reducing the monthly energy bill by €8,000. When tested with a major German discount retailer, it detected 12 times more anomalies than conventional manual inspection methods.
Enersee serves enterprise and public-sector clients across retail, real estate, healthcare, banking, and logistics. The platform currently manages over 1,000 sites and processes millions of data points daily. Its technical foundation rests on self-learning AI, time-series modeling, anomaly detection, and scalable data integration - engineered to handle the complexity of distributed facility networks.