Data optimalisation
The data collected by sensors is processed through an optimisation engine that continuously analyses thermal performance and air quality loads. Based on this analysis, new optimal setpoints are automatically sent to the HVAC system. Over time, performance data—including energy consumption, air quality and fault detection—is analysed to further optimise building systems. At one site of approximately 30,000 sqm, this approach resulted in annual savings of 470,065 kWh and 2.12 tonnes of CO₂e.
AI can detect water leaks before tenants even notice them. In shopping centres, predictive analytics can anticipate when lifts or escalators require maintenance, allowing property managers to intervene before equipment fails. In retail parks, it can also analyse footfall data, providing valuable insights into visitor patterns and helping owners and tenants better understand how spaces are used.