AI HVAC Optimization
The Problem
“Your HVAC runs on static schedules—energy waste and failures show up as tenant complaints”
Organizations face these key challenges:
Engineers chase hot/cold calls and override setpoints, but fixes don’t persist and problems recur
Energy spend is higher than peers because schedules and staging don’t match real occupancy or weather
Equipment issues (stuck valves, fouled coils, short cycling) go unnoticed until a breakdown or comfort crisis
Too many BAS alarms and trend logs to review—teams operate reactively instead of proactively
Impact When Solved
Real-World Use Cases
AI Predictive Maintenance for Commercial Buildings
This is like giving a commercial building a smart “check engine light” that looks at all the sensor data (HVAC, elevators, lighting, water systems) and warns you before something breaks, instead of after tenants complain or systems fail.
AI for Building Operations in Assisted and Independent Living Facilities
Think of this as a smart autopilot for senior living buildings: software that constantly watches heating, cooling, lighting and equipment data, then quietly tweaks settings and flags issues so the building runs cheaper, safer, and more comfortably without staff having to babysit it.