The platform ingests data from existing BACnet, KNX, and Modbus building automation controllers via edge gateways without replacing installed fieldbus infrastructure, providing a cloud overlay for analytics and remote management. AI comfort optimisation balances occupancy data from access control and people-counting sensors with HVAC setpoints to maintain comfort at the minimum possible energy consumption, consistently saving 20-30% on conditioning costs in reference buildings. Predictive maintenance models trained on BMS time-series data predict compressor, AHU belt, and pump failures 2-4 weeks ahead, reducing emergency service calls. Digital twin 3D viewer synchronises BMS tag data to IFC building models, letting facility managers click a room and see all live equipment parameters. REST API opens building data to workplace analytics, desk-booking, and green-building reporting apps.