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Sustainable Technology

Energy is one of the largest controllable costs a building or operation has, and one of the least watched. Intelligence makes it visible, then makes it smaller, and produces the ESG evidence as a by-product.

The problem we solve

What this is

Sustainability work fails for a dull reason: the data arrives monthly, in a bill, aggregated, too late to act on. By the time anyone notices the anomaly, three months of it have already been paid for.

We meter at the level where decisions are made, model what consumption should be given weather and occupancy, and alert on the difference. The same data stream then produces the ESG and carbon reporting you are increasingly asked for.

Typical result: measurable energy savings and audit-ready ESG data.

Fit

Who this is for

A good fit if

  • Property owners and operators facing energy costs and efficiency targets at the same time.
  • Companies that must report ESG data and are assembling it by hand each quarter.
  • Developers who want sustainability designed in rather than certified afterwards.
  • Operations teams asked to cut consumption without reducing comfort or output.
  • Organisations whose AI and data workloads are now a visible part of the energy bill.

Probably not yet if

  • You need a certificate for a tender and nothing in the building will actually change.
  • Consumption data does not exist and no one is willing to install metering.
  • The equipment is at the end of its life and replacement is already funded.

If one of these is true we will say so in the first call, and tell you what to fix first.

Engagement

How we can work together

01

Baseline and opportunity study

We establish what you consume today, where it goes, and the three changes with the shortest payback.

02

Optimisation project

Controls, scheduling and AI-driven setpoints implemented on a defined scope, with savings verified against the baseline.

03

ESG data platform

Automated collection, calculation and audit-ready reporting, so the quarterly report stops being a manual exercise.

Every engagement starts with a free consultation and a written proposal. Scope, price and the measure of success are agreed before any work begins.

Deliverables

What you get

Energy visibility

Sub-metering by floor, tenant, system or process, so a number has somebody's name attached to it.

Baselines and anomalies

Weather-normalised models of expected consumption, and an alert when reality drifts away from them.

Optimisation

Schedules, setpoints and control strategies tuned with AI, including recommendations your team can approve.

Carbon accounting

Scope 1 and 2 from your own meters, scope 3 where data allows, with the assumptions written down.

ESG reporting

Audit-ready exports aligned to the frameworks you report against, produced from data rather than estimates.

A savings case

Each recommendation costed, with payback period, so the decision is financial rather than ideological.

Process

How it works

  1. 01

    Benchmark

    Twelve months of bills and whatever meter data exists, turned into a picture of where the energy actually goes.

  2. 02

    Instrument

    Sub-meters and sensors where the picture is blurred, connected to the platform and verified.

  3. 03

    Model

    Expected consumption learned from your own operation, not from a textbook building.

  4. 04

    Act

    A ranked list of changes: the free ones first, then the cheap ones, then the capital ones with their payback.

  5. 05

    Verify

    Measurement after the change, so savings are proven rather than claimed, and reported the same way every month.

Use cases

Where it fits

  • Owners and developers reducing common-area running costs across a portfolio.
  • Hotels and malls where chiller plant is the single biggest line on the bill.
  • Manufacturers tracking energy per unit produced rather than per month.
  • Companies facing ESG reporting obligations for the first time.
  • Smart-city and community projects that must report performance publicly.

What we build it with

  • Sub-metering and IoT sensing
  • Weather-normalised regression and machine-learning baselines
  • Integration with BMS, chiller and solar inverters
  • Carbon factors maintained and documented
  • Dashboards for operators and for the board
  • Export to the ESG frameworks you report against

What we need from you

  • Twelve months of utility bills
  • Access to the meter room and the BMS
  • A facilities contact who knows the quirks of the site
  • Clarity on which framework you report against, if any
Accountability

What we measure

We agree the numbers before the work starts and report against them afterwards. These are the measures that usually matter for this service.

  • Kilowatt hours per square metre, against a verified baseline
  • Peak demand and the cost of the peak
  • Water use and recovered leakage
  • Emissions by scope, and how much of it is measured rather than estimated
  • Payback period actually achieved, not the one in the proposal
  • Comfort and output held steady while consumption falls
Experience

Mistakes we help you avoid

  1. Reporting instead of reducingA beautiful ESG report with no operational change is an expensive document and an audit risk.
  2. No verified baselineWithout a measured starting point, every saving is an argument. With one, it is arithmetic.
  3. Comfort paid for in silenceSavings that make the building uncomfortable get reversed by the first complaint, and then blamed on the technology.
FAQ

Questions, answered.

How much can we expect to save?

It depends entirely on the site, which is why we benchmark before promising anything. The benchmark itself usually pays for itself in the first few corrections it uncovers.

Is this only for large buildings?

No. Any operation with a meaningful utility bill or a reporting obligation benefits, including single sites and small portfolios.

Do you sell the hardware?

We specify and install what the site needs and remain vendor-neutral. You can buy the hardware directly if you prefer.

Will the reporting satisfy an auditor?

That is the design intent: measured data, documented factors, stated assumptions and a traceable method, rather than a spreadsheet of estimates.

Initiate

Let's wire intelligence
into your business.

Acta, non Verba.

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