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Platform / Building intelligence

Fault detection that names the likely cause

Edviro learns a baseline for each site from its meters, BMS points, bills and weather. When something drifts from that baseline, Edviro flags it and names the likely cause, with the evidence. A person reviews the fix before anything is dispatched.

Book a demoHow it works

What is automated fault detection and diagnostics?

Automated fault detection and diagnostics (AFDD) is software that watches building data all the time and flags equipment or schedules that are behaving abnormally. Edviro learns a baseline for each site, adjusted for weather and schedule, and looks for departures from it in meter, BMS and alarm data. When it finds one, it names the likely cause and shows the evidence.

How it works

01

Learn

Edviro builds a baseline for each site from meter data, weather, schedules and tariffs.

02

Detect

It flags anomalies as they start, at any hour, on any vendor’s system.

03

Diagnose

It names the likely cause and shows the evidence: runtime, setpoints, the calendar.

04Human

Review

A named person approves the drafted fix.

05

Verify

The building data shows whether the condition stopped.

What you get

Anomaly detectionAfter-hours runtime, short cycling, demand spikes, and gas or water use nobody expected.
A likely cause, with evidenceFor example: “Runtime from 11 pm to 6 am on four nights, setpoint held at 68°F, no calendar event on site.”
No alarms, just fixesEdviro has no alarms tab. Related alarms are grouped under the fault that caused them, and your team gets one fix to review.
ForecastsDays with a high risk of a demand peak or a comfort problem are flagged ahead of time.

What your team sees

An example view with made-up data.

What it catches in schools and data centers

Education

Schools and campuses

At one school the gas meter read 76 therms in a day against 16.7 expected, a 357% jump. The likely cause was a hot-water valve stuck open.

Edviro for education →
Data centers

Data centers

An example: 312 BMS alarms that all trace to one cause, a sticking chilled-water valve on CRAH-2. The cooling model predicts supply temperature to ±0.4 °C, so the fix can be checked against the model. Data centers are newer for us. We began working with our first operators in 2026.

Edviro for data centers →

Related parts of Edviro

Work ordersEach diagnosis is drafted as a work order for someone to approve.→Measurement & verificationEach fix is checked against the same baseline that caught the problem.→Capital planningEquipment that keeps faulting shows up in repair-or-replace decisions.→
Works with what you already have
Modern BMSLegacy controlsInterval metersUtility bills and Green ButtonYour CMMSMobile app

Common questions

What data does diagnostics need?

Utility bills and interval meter data are enough for the first findings. The diagnosis gets more specific as BMS points, an asset list and a work-order export are connected.

Do we need new sensors or a new BMS?

No. Edviro works with any vendor’s BMS, modern or legacy. Nothing is installed before the first report.

Does Edviro change setpoints or schedules on its own?

No. Schedule and setpoint changes, emails and work orders wait for a named person to review and approve them.

How is this different from BMS alarms?

A BMS raises an alarm for each point. Edviro compares behavior with a learned baseline, groups the related alarms and names the likely cause, with the evidence attached. Your team gets one fix to review.

Does it work for data centers?

Yes. In data centers Edviro traces alarm floods to their root cause and models cooling. In our example, 312 alarms trace to a single CRAH valve.

Book a demo

See what Edviro finds in your buildings.

Pick a 30-minute slot and we’ll walk through your sites with you.

Book a demo

Or email founders@edviroenergy.com