AI Green Building Certification
The Problem
“Green certification is lost in spreadsheets while buildings drift out of compliance daily”
Organizations face these key challenges:
Energy, HVAC, lighting, and maintenance data lives in silos (BMS, meters, CMMS), making certification evidence slow to assemble
Building performance drifts after commissioning; setpoints and schedules fall out of sync with occupancy and weather
Maintenance is reactive—failures trigger comfort complaints and energy spikes that jeopardize certification metrics
Audit/recertification prep becomes a last-minute scramble with inconsistent documentation quality
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.
Smart Building AI Solutions
This is like giving a commercial building a smart autopilot that constantly watches how it uses heating, cooling, and energy and then quietly adjusts everything to be cheaper, more reliable, and more comfortable for occupants.