Predictive HVAC maintenance, without new sensors or a data science team
Preventive maintenance visits equipment on a schedule. Predictive maintenance visits equipment because the data says it needs it. Elite Energy Management makes the second one practical for any operator with rooftop units, using the thermostats you already own.
Why calendar-based maintenance is not enough
Quarterly preventive visits are worth keeping. But equipment does not fail on a calendar, and the most expensive problems develop in the weeks between visits, invisible to a checklist that was completed two months ago.
Failures do not wait for the next PM visit
A belt that was fine in March can be slipping by May and destroyed by June. Preventive maintenance inspects a moment in time. Failures develop in the gaps.
PM visits inspect everything, prioritize nothing
The technician checks every unit the same way whether it is healthy or dying. Nothing tells your provider which units deserve extra attention this quarter.
70% of repair spend is still reactive
Even operations with disciplined PM programs spend the majority of repair dollars on unplanned failures, at emergency rates of 3 to 5 times the planned cost.
Condition data exists, but nobody uses it
Your thermostats already report runtime, staging, and temperatures every minute. In most operations, that condition data is never analyzed by anyone.
Predictive vs preventive: what actually changes
Predictive maintenance does not replace your PM program or your maintenance provider. It changes what drives the work. Instead of every unit getting equal attention on a fixed schedule, the units showing behavioral drift get attention first, while they are still cheap to fix.
- Preventive answers "has this unit been inspected recently." Predictive answers "is this unit behaving like a healthy version of itself."
- Predictive warnings arrive days to weeks before failure, while the fix is still a planned $200 to $400 call instead of an $800 to $1,500 emergency.
- Your existing provider does the work. The platform tells them where to look and what to verify, which makes every truck roll count.
What Elite Energy Management does differently
Elite Energy Management collects readings from every rooftop unit every 60 seconds through your existing EMS or smart thermostats. AI models learn each unit's healthy baseline, weather normalized, and flag drift in plain English.
Condition-based priorities, updated nightly
Every unit gets a 0 to 100 health score. Running well, Monitoring, or Action needed. Your maintenance calendar stays, but your priorities come from equipment condition.
Validated early warning
In real world cases the platform has flagged developing failures 1 to 9 days before they surfaced, including a Tucson unit caught 9 days before a technician confirmed a failing belt.
Degradation tracking for capital planning
The same baselines that catch failures also measure long-term capacity loss, so repair or replace decisions and next year's budget rest on data.
A diagnosis to verify, not a mystery to solve
Alerts describe what changed in operator language. Your technician arrives with a hypothesis instead of starting from zero, which shortens visits and improves first-time fix rates.
The full arc: predicted, repaired, verified
A kitchen unit at a restaurant location we monitor started drifting in late May. The platform flagged it five days before anyone on site knew, health score down to 27, and the operator scheduled service at planned rates instead of paying the emergency premium. Then the part that closes the loop: within days of the repair, the unit's nightly score recovered to 86, running well. Prediction got the technician there early. Verification proved the fix held, without a second truck roll. That is what condition-based maintenance looks like end to end.
No new hardware. No installation visits.
We integrate with the equipment your locations already have, including eViewIoT, Pelican Wireless, Honeywell Resideo, ecobee, and Sensi. If you do not have an energy management system yet, we partner with eViewIoT to get you connected. Data starts flowing in hours, and the AI starts learning your equipment on day one.
- No new sensors, no roof work, no capital project. We read from the controls already on your units.
- Keep your maintenance provider and your PM schedule. The platform makes both more effective.
- Pricing starts at $5 per unit per month. One avoided emergency typically pays for months of monitoring.
Common questions about predictive maintenance
Preventive maintenance services equipment on a fixed schedule regardless of condition. Predictive maintenance uses equipment data to identify which units are developing problems, so service happens when the equipment needs it, before failure and at planned rates.
Yes. Filters still need changing and coils still need cleaning. Predictive monitoring works alongside your PM program and tells your provider which units need attention beyond the routine checklist.
No. The platform works from the data your existing thermostats and energy management systems already produce, including eViewIoT, Pelican Wireless, Honeywell Resideo, ecobee, and Sensi. Behavioral drift shows up in runtime, staging, and cooling output long before most failures.
Every unit is measured against its own weather-normalized history, which keeps hot-day false alarms down. In technician-confirmed real world cases, warnings have arrived 1 to 9 days before the failure surfaced.
Health scores begin within days of connecting, and the AI's per-unit baselines sharpen over the first weeks. Most operators see their first actionable finding inside the free 30 day pilot.
Stop paying emergency prices for predictable failures
Start a free 30 day pilot. No hardware, no commitment, and your first health scores within days of connecting.
Start free 30 day pilot