RMS is BOT's energy management information system (EMIS): it collects 15-minute interval telemetry from meters and building systems, turns it into the heatmaps, load profiles, and demand-triage views operators actually use, and is the system of record our continuous M&V engine verifies against — automatically, every interval.
Commercial buildings burn roughly 40% of U.S. electricity, and most of them are managed from a monthly utility bill — one number, thirty days late, with every operating mistake averaged into invisibility. The bill is the scoreboard, but it isn't the game film.
An energy management information system exists to close that gap. RMS collects whole-building interval data at 15-minute resolution across every asset it watches, so the questions that decide a bill become answerable: Which units ran all weekend? What set this month's demand peak, and at what hour? Is the building drifting away from the schedule someone commissioned three years ago?
We built RMS as owner-operators, not as a software vendor looking for a market. Our own portfolio — 4 buildings, ~421,000 SF, 19+ years of below-CPI operating expenses — is where every view in the product earned its place. If a chart didn't help us cut our own bills, it didn't ship. For a deeper primer on the category, see our guide to energy management software and EMIS.
Every view answers one operational question. No vanity dashboards — the point is finding the kWh, the kW, and the schedule drift that are costing you money right now.
A full year of interval data in one picture. Night and weekend waste shows up as color where there should be darkness — the fastest schedule audit there is.
Your single worst 15-minute interval sets the monthly demand charge. RMS ranks and box-plots those intervals so the events that price your distribution line get found and fixed.
Sorts the year's load from highest to lowest so you can see how much of the peak is rare and shavable versus structural — where demand strategy starts.
Units running when nobody is in the building are a recurring finding in commercial energy work. RMS flags weekday/weekend pattern breaks as they appear, not at the next audit.
RMS is the system of record the M&V engine reads from: it feeds the weather-normalized baselines that score every day's actual use against what the building should have used.
Because savings are measured, the CO₂ math inherits the rigor: 135,841 kg of CO₂ avoided on a single building, IPMVP-grade. Numbers an ESG report can stand on.
Most measurement and verification is a consulting engagement: a $10–25K study, performed once a year, that tells you what happened months after it happened. If a saving decayed in February, you learn about it in a PDF the following January.
RMS runs M&V as software. Whole-building interval data is scored against a weather-normalized baseline using IPMVP Option C methodology, automatically, every 15 minutes, with baseline models holding R² above 0.96. Drift is flagged the interval it opens. The output is the same class of evidence a consultant would produce — 44 validated M&V reports across 15 buildings so far — at a cadence no consultant can match.
| Traditional M&V study | RMS continuous M&V | |
|---|---|---|
| Cadence | Once a year, per engagement | Every 15 minutes, automatically |
| Method | IPMVP, often sampled or stipulated | IPMVP Option C, whole-building interval data |
| Model quality | Varies by engagement | R² > 0.96 on published baselines |
| Cost | $10,000–$25,000 per study | Built into the platform |
| Drift detection | Discovered at the next study | Flagged the interval it opens |
| Deliverable | A report, once | Live views + 44 validated M&V reports across 15 buildings |
Study cost range reflects typical market pricing for a commercial whole-building M&V engagement; RMS figures are from BOT's operating record.
Every number below comes from buildings we own and operate, or from clients on the platform — measured by RMS, not modeled in a proposal.
The pattern holds off our portfolio too. One school on the platform saved $13,140 per year with zero capital spend — pure conservation findings surfaced by the interval data, the kind covered in our HVAC optimization guide. When the finding is a schedule fix, the payback period is a settings change.
RMS is one third of a loop. What it measures, the Atenea BAS executes and Ada, our optimization intelligence, plans — always with operators in the loop, never as a black box running unsupervised. Then RMS closes the circle by verifying that the action actually saved what it was supposed to save.
The economics of that stack matter. Atenea runs on edge microcontrollers with zero software licensing. Other landlords pay $50–200K per year in BAS licensing; we built our own for under $50 per controller, because we were the customer and we refused to pay the toll. That cost structure is why continuous measurement and verification can be built in rather than sold as an annual add-on.
Send a recent utility bill and we'll show you what's hiding in your interval data. A measured answer about your own building.
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