Starting point

You already have monitoring

A BMS, submeters on the risers, perhaps a dashboard and years of interval data. The expensive part is paid for. What is missing is the analysis layer.

What does your existing data already show?

Drawn against the occupied schedule for the first time, a historian often shows the same overnight floor under every night, weekends included. Nothing new is installed to see it.

One week against occupied hoursSample data
kWMonTueWedThuFriSatSun010002000overnight floorshaded = occupied hours
Sample data. The same floor sits under all seven nights.
Energy over timeSample data
kWh / day0k4k8kweek 1week 3week 5week 7weekdayweekend
Energy over time.

Why does a chart not become a decision?

No model

A line that went up is a question. Without a model of what use should have been, nobody can say why.

No error bar

A single value with no coverage or sample size cannot be committed to.

No owner

A finding with no owner and no date is an observation, repeated each month.

What does Radr add?

It reads your existing points, models each load against its own drivers, ranks findings, and verifies each change afterwards. It sits alongside your BMS and does not replace it or write to it.

From your records to a reportDiagram

  1. Existing records

    BMS trends, submeters, exports.

  2. Data checks

    Interval, units, clock, gaps.

  3. Baseline and analysis

    Findings ranked, with an owner.

  4. Report outputs

    Savings with coverage and method.

Your existing records pass the data checks before anything is analysed.
  • Every figure carries its sample size, coverage and source intervals.
  • Findings are ranked by recoverable cost, with an owner and a date.
  • Savings are measured after the change, not estimated before it.

What we can read

Send us a month of what you already log

If there is nothing worth chasing, we will say so.

Talk to us