AI Water Management
The Problem
“You only notice water problems after the bill—or the flood—and it’s killing uptime and OPEX”
Organizations face these key challenges:
Leaks are discovered by tenants or visible damage, not by your systems—and response is already late
Water usage spikes are hard to explain because meter/BMS data lives in silos with no root-cause view
Threshold alarms create noise; engineers ignore alerts until something breaks
Preventive maintenance is calendar-based, so pumps/valves fail unexpectedly while other assets get over-serviced
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.