Start with one building.
Start with your name and email. Then share trend data from one building, and we'll look for HVAC issues that are costing money.
Free for one building. If the data reveals an issue, we'll show a representative finding and its potential savings.
Need help exporting data? See how ↓Your progress saves as you go.
Step 1 of 4 · Your Name and Email
- 1Your Name and Email
- 2Organization and Building
- 3Trend Data
- 4Review and Submit
Your Name and Email
The free assessment includes
- A check that your data can be analyzed
- A representative finding, when the data shows one
- Potential savings for that finding, where the data supports an estimate
A subscription adds
- Every issue ranked by dollars, severity, and ease of repair
- Root cause and resolution guidance for each issue
- Monitoring after you mark an issue resolved
90 days or more of data works best. A short sample may not reveal an issue, and if the analysis is inconclusive, we'll tell you.
Your cost: Free. One building. No commitment.
Export help
How to export BAS trend data
Most building automation systems export trend history as CSV from the same screen where you view trends. If you don't have access, your controls contractor can pull the export for you.
1. Pick the points
- Supply, return, mixed, and outside air temperatures
- Heating and cooling valve commands
- Damper positions and fan status or speed
- Setpoints and occupancy schedules
- Zone temperatures for the spaces served
2. Export from your BAS
- 01Open the trend or history viewer in your BAS.
- 02Select the points for one building's air handlers, rooftop units, and central plant.
- 03Choose 90 days or more of history if you have it. Intervals of 2–5 minutes work best.
- 04Export to CSV and upload it in the form’s Trend Data step.
3. Check the format
A timestamp column, then one column per point, with the point names your BAS uses. The sample file shows the layout.
Timestamp,AHU-1_SAT_F,AHU-1_OAT_F,AHU-1_CHW_Valve_Pct 2026-01-15T08:00:00Z,55.2,41.0,64 2026-01-15T08:05:00Z,55.4,41.3,66
Data fit: CSV trend exports with timestamps, point names, and repeated readings are usually the best starting point. We confirm suitability before analysis; available points and history determine what can be diagnosed.
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