
Facil.ai offers AI-powered advanced supervisory control for mechanical systems and Building Management Systems (BMS) optimization, aiming to reduce energy costs for buildings. Their "AI-agents" act as virtual facility managers, working in the background to optimize system performance. The company emphasizes an "Opex Only, Zero CapEx" model, meaning no new hardware is required, and their subscription fees are designed to be covered by the energy savings achieved. Facil.ai claims immediate energy savings upon installation with a plug-and-play approach, offering infinite scalability. They highlight "Strict AI Guardrails" for safety and a "No Compromise" approach that improves comfort while cutting costs and extending equipment life. The company boasts significant results, including 48% energy efficiency gains, processing billions of bytes of data, rapid BMS gateway connection (28 per day), and optimizing control loops every 5 minutes compared to traditional annual tuning. Their differentiation lies in optimizing what's working, using prescriptive AI agents that learn and take action autonomously, offering simple and safe integration, and providing risk-free, cybersecure operations with fail-safe backups.

Facil.ai offers AI-powered advanced supervisory control for mechanical systems and Building Management Systems (BMS) optimization, aiming to reduce energy costs for buildings. Their "AI-agents" act as virtual facility managers, working in the background to optimize system performance. The company emphasizes an "Opex Only, Zero CapEx" model, meaning no new hardware is required, and their subscription fees are designed to be covered by the energy savings achieved. Facil.ai claims immediate energy savings upon installation with a plug-and-play approach, offering infinite scalability. They highlight "Strict AI Guardrails" for safety and a "No Compromise" approach that improves comfort while cutting costs and extending equipment life. The company boasts significant results, including 48% energy efficiency gains, processing billions of bytes of data, rapid BMS gateway connection (28 per day), and optimizing control loops every 5 minutes compared to traditional annual tuning. Their differentiation lies in optimizing what's working, using prescriptive AI agents that learn and take action autonomously, offering simple and safe integration, and providing risk-free, cybersecure operations with fail-safe backups.
Product: Autonomous AI agents that perform closed-loop supervisory control for HVAC and BMS optimization
Deployment: Plug-and-play software gateway that integrates with existing BMS/thermostats; cloud-supervised on Microsoft Azure
Business model: Opex-only (Zero CapEx) subscription with no new hardware required
Founder: Keith Gipson — Founder & CEO (founded 2020)
Investors: Los Angeles Cleantech Incubator; Cleantech Open
Building energy management; HVAC and BMS optimization to reduce energy waste and improve operational efficiency/comfort.
2020
Building energy / HVAC / BMS software
Listed funding round.
Listed funding round.
“Investors include Los Angeles Cleantech Incubator and Cleantech Open.”