Edviro

Edviro builds AI that unifies how large buildings operate their power, cooling, controls, and maintenance systems, which today are typically run through separate dashboards and reactive workflows. The company converts a facility's live data into a world model, uses it to simulate interventions, then coordinates the response through AI agents. It helps facilities managers at large buildings save on their energy bills by continuously monitoring and optimizing buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager . The team started with K-12 school districts, a segment with lean facilities staff, tight budgets, and aging equipment, and is now live in more than 20 buildings. Across the country, schools spend $8B on their utilities, and over 30% is wasted on inefficiencies like poor scheduling, equipment failures, or things as simple as leaving the HVAC running. This launch marks the move from schools into data centers and other energy-intensive infrastructure, where operators face a similar coupling problem between power, cooling, and workloads but at a much larger scale. The team is opening conversations with data center operators and energy producers, and hiring energy modeling talent. Edviro was founded in 2025 by Hursh Shah and Tanuj Siripurapu, and is based in San Francisco as part of Y Combinator's S26 batch. The company started when Hursh was 17, and a teacher handed him a year of district utility bills to analyze for a project.