EYWA ENERGY develops an AI-driven optimization platform for centralized HVAC chiller plants used in large facilities such as airports, hospitals, universities, and industrial zones. The system applies predictive algorithms and advanced data analytics to manage workload distribution across multiple chillers in real time, optimizing performance based on each unit’s efficiency profile. This intelligent control reduces electricity consumption by up to 30%, translating to annual savings of $100,000 to over $1 million per site, while maintaining consistent thermal comfort. In addition, EYWA ENERGY’s integrated predictive maintenance module monitors equipment health to prevent failures, improve reliability, and extend asset lifespan