Edviro develops artificial intelligence designed to manage and optimize energy infrastructure. The system integrates directly with various energy assets such as meters, heating and cooling systems, batteries, and solar installations. It continuously monitors performance, identifies inefficiencies, diagnoses issues, and forecasts energy demand. By simulating potential solutions, the platform generates maintenance tasks, schedules repairs, and adjusts equipment settings when permitted. This automation streamlines operations across distributed energy networks.
The platform relies on dynamic energy world models that learn the unique operational patterns of each site. These models evaluate multiple actions based on expected impact and select those with the highest value. Results are validated against actual data from meters, billing records, and real-time performance. The system ensures continuous improvement by measuring outcomes and refining its decisions over time. This approach enhances efficiency, reduces waste, and supports reliable, cost-effective energy management.