Brightspace AI uses advanced occupancy and IAQ sensors coupled with machine learning to optimise HVAC operations in real time, continuously analysing building data (occupancy, weather, thermal load, equipment behaviour) and autonomously adjusting setpoints, schedules, and equipment sequencing to minimise energy use by minimising the amount of outside air, while maintaining comfort.
What makes it exceptional as a centralised solution is that it sits as an intelligence layer above existing BMS and chiller plant controls without requiring rip-and-replace, learns each building’s unique thermal signature rather than applying generic rules, and delivers measured, IPMVP-aligned savings (typically 20–45%) that are verifiable rather than modelled — making it uniquely suited to envelopes with large public spaces and considerable foot traffic.
Offered through a OPEX model, means zero capital upfront and savings from day 1.
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