You Only Pay for Results

"Pay for the effect, never for the risk." T-Data and exands fund the sensors, the edge AI and the engineering. You keep operating as usual — and pay a share of savings only after they are measured and verified.

Zero Upfront

Light equipment, fast deployment. No capital budget, no procurement cycle, no risk of stranded investment.

Free A/B Test

A two-week alternate-day test on your own meter proves the savings before any commitment. Fail the test and walk away — at no loss.

Pay from Savings

Once results are verified, fees are an agreed share of the measured savings — the fee is always smaller than the saving it comes from.

Third-Party Audit

Monthly energy reports verified against the agreed baseline. Every baht of claimed savings is traceable to meter data.

Service Flow

Six Steps, Real Numbers in One Month

1 Week 0

Consultation & Survey

Site walk-through, historical bill review, and meter installation to establish a credible energy baseline.

2 Week 1

Sensor & Edge Deployment

Wireless passive sensors and the edge computing unit installed without interrupting operations.

3 Weeks 1–2

AI Learning

The agent fits your site's data locally — equipment fingerprints, occupancy patterns, weather response — in about 10 days.

4 Week 2

A/B Verification

Alternate-day on/off testing quantifies the true saving rate on the main meter. You see the number before you commit.

5 Week 3+

Autonomous Strategies Go Live

AI-generated control strategies take over HVAC, ventilation and lighting — 7×24, with safety limits you approve.

6 Monthly

Savings Report & Settlement

Monthly verified savings report; fees settled as an agreed share of verified savings only.

Effect Verification

Savings You Can Audit

Two independent methods, one principle: no trust required — only measurement.

METHOD 01

A/B Alternate-Day Test

The system runs on alternating days across two matching weeks, identical occupancy and weather exposure. The meter gap between "on" and "off" days is the saving — visible to anyone who can read a bill.

Runs entirely on your own main meter
Two weeks is enough to reach statistical confidence
Reference case: 25% measured on a mall in peak season July
METHOD 02

Linear-Interpolation Baseline

Using 2–3 years of your historical consumption plus occupancy/turnover data, we build a prediction table of "what you would have spent" at any temperature and occupancy. Savings = predicted baseline − actual consumption.

Saving (kWh) = baseline prediction − actual metered use
Saving (THB) = saving (kWh) × your tariff rate
Third-party auditors can re-run the math any time
Common Questions

What Clients Ask First

Will customers or staff notice anything?

No. The AI operates inside comfort bounds you approve. Guests walk into pre-cooled rooms; chefs cook exactly as before. Adjustments are designed to be invisible.

What if the savings don't materialize?

That's what the A/B test is for — if the measured saving doesn't clear the agreed threshold, you owe nothing and can exit. After go-live, fees track verified results only.

Who owns the equipment and the data?

The deployment stays ours during the revenue-share period, then can transfer to you. All site data belongs to you — it is learned locally and never resold or forwarded.

How long until we see money?

First verified numbers within 2–4 weeks; the first monthly savings report within a month of go-live. Most sites recover our full deployment cost within the first year of shared savings.

Risk Stays With Us. Savings Stay With You.

Book a site survey and we'll show you the A/B test plan for your building — free, in writing.

Request a Site Survey