This Research Note examines Carnot Innovations, a Hong Kong-based smart buildings startup. We explore their AI-powered energy optimization solutions, deployments, funding, and partnerships. Carnot Innovations Profile Founded in 2018, Carnot Innovations has developed a proprietary AI Optimization and Analytics solution to control buildings in real-time, aiming to improve the operational and resource efficiency of buildings by over 25%. Initially focused on enhancing fault detection for Building Management Systems, the company quickly recognized the pressing need to reduce energy consumption in buildings, prompting them to develop AI models for energy optimization control strategies. Carnot’s predictive fault diagnostics engine uses advanced machine learning, anomaly detection models, and logic-based fault detection to predict failures of HVAC mechanical equipment. It empowers facility managers to perform targeted defect rectifications at optimal times. The company’s data-driven AI-based Chiller Plant Optimization engine generates optimal set points, staging & sequencing logics for all chiller plant equipment and directly writes them back to the […]