
NRGSense develops advanced building automation and control solutions focused on energy efficiency, operational carbon footprint reduction, and occupant well-being. Their core technology, Model Predictive Control (MPC), uses AI and digital twins to predict environmental changes and energy demand, optimizing cooling, heating, lighting, and shading systems. This proactive approach, powered by physics-based and machine-learning models, aims to achieve substantial energy savings (up to 58%) and improve thermal and visual comfort compared to traditional reactive control methods. NRGSense integrates with existing building management systems through various industry communication protocols, offering a customizable solution from consultation to ongoing optimization.

NRGSense develops advanced building automation and control solutions focused on energy efficiency, operational carbon footprint reduction, and occupant well-being. Their core technology, Model Predictive Control (MPC), uses AI and digital twins to predict environmental changes and energy demand, optimizing cooling, heating, lighting, and shading systems. This proactive approach, powered by physics-based and machine-learning models, aims to achieve substantial energy savings (up to 58%) and improve thermal and visual comfort compared to traditional reactive control methods. NRGSense integrates with existing building management systems through various industry communication protocols, offering a customizable solution from consultation to ongoing optimization.