Modernize HVAC Operations with AI
Thermolio is the AI platform that helps property managers prevent HVAC failures and cut energy waste. It reads live BMS data and predicts problems one to three weeks before they surface.
Most buildings don’t waste energy because of bad equipment
Even the best operators are spread across thousands of BMS points, alarm floods, and a work-order backlog that never clears.
of the energy consumed in an average commercial building is wasted.1
HVAC is the largest load in that picture: space heating, cooling, and ventilation account for roughly a third of on-site commercial energy use.2
- Setpoint overrides outlive the reason they were made
- Alarm floods bury the one fault that matters
- Simultaneous heating and cooling can run for weeks unseen
- Maintenance stays reactive, so the first signal is a tenant complaint
Thermolio sets a new standard for building operations
Every point trended. Every fault traced. Every fix verified.
Three items need you. Three are handled.
Overnight, every trend line was read. This is what surfaced.
Trending away from baseline for 11 days. Failure window open.
ReviewWeekend schedule still running on weekdays. Estimated waste rising.
RevertFilter loading pattern. Two weeks until this becomes an alarm.
PlanApproach temperature recovered overnight. Watch closed.
LoggedSimultaneous heating and cooling resolved, verified against trend.
Verified+0.5 °C discharge, inside the operator guardrail. Reversible.
ReversibleThermolio works like an extra controls technician on every site. One that reads every trend line, every night, and starts your morning with the three fixes worth making.
Founder · Thermolio AI
Thermolio understands your systems and takes action
One edge gateway on your BMS network. It reads BACnet/IP, learns what normal looks like, and watches what no team has the capacity to watch.
Install is measured in hours
One gateway on the BMS network, reading BACnet/IP in under 4 hours. No rip-and-replace.
Every point becomes a baseline
Thermolio learns normal for each chiller, AHU, and RTU across seasons and occupancy.
Drift becomes a work order
Failure patterns flagged 1 to 3 weeks before breakdown and pushed to your CMMS, with the trend attached.
Findings become setpoints
Setpoints retuned within guardrails your operators set. Every change logged, every change reversible.
Numbers first. The rest follows.
One edge gateway. Live BACnet/IP reads. Setpoints move only inside guardrails your operators set, and every change is logged and reversible. This panel is the whole deployment story.
Purpose-built for
morning exception reports
First Thermolio understands the building. Then it acts, with evidence at every step.
Morning exception report
3 items need your reviewNo black boxes. Each prediction ships with the point data behind it, so your operators can check the reasoning before they act.
Thermolio agents
RunningGuardrails and approvals sit in front of every change. Nothing moves in your building without a person deciding it should.
Work order · AHU-3 supply fan
A one-to-three-week warning turns an emergency call-out into a scheduled repair, on your terms and your budget.
The questions every property manager asks
What does the audit cost? +
What happens to my existing BMS? +
Who approves changes? +
How long does install take? +
How early are failures flagged? +
A modern experience for your whole portfolio
You are committing budget and trust. The new standard is every building measured, every operator confident, every saving proven.
A deployment your tenants never notice
- ✓One edge gateway on the BMS network, installed in under 4 hours
- ✓Live data read over BACnet/IP from your existing points
- ✓No rip-and-replace. The BMS keeps running as it is
Failures predicted, savings proven
- ✓Failure warnings 1 to 3 weeks out, pushed to your CMMS with their trends
- ✓Setpoints held where they should be, drift corrected inside guardrails
- ✓Savings tracked against the audited baseline, building by building
See the evidence for yourself
Watch Thermolio read a live building. Every recommendation arrives with the trend behind it.
Book a demo →