AI Property Predictive Maintenance
The Problem
“Your buildings fail without warning—reactive maintenance is bleeding OPEX and uptime”
Organizations face these key challenges:
Unplanned HVAC/elevator outages trigger tenant complaints, SLA penalties, and emergency callouts
BMS alarms are noisy and non-actionable; engineers miss early warning signals buried in data
Preventive maintenance is calendar-based, causing over-maintenance on healthy assets and under-maintenance on risky ones
Energy bills stay high because faults (stuck dampers, leaking valves, short-cycling) go undetected for weeks
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-powered Smart Facilities Management for Middle East Real Estate
This is like giving your buildings a smart brain that constantly watches how they’re used (energy, equipment, people flow) and automatically tunes everything—lighting, cooling, maintenance schedules—to keep costs down and comfort and sustainability up.