Energy spend, explained line by line.
Most organisations can tell you what they paid for energy and almost nothing about why. Loadatlas connects meter data, tariff structure, asset behaviour and production schedule so cost becomes attributable — and therefore addressable.
Why this is still hard.
Three failures show up in almost every organisation we have looked at. None of them are solved by adding another dashboard.
The bill is not the diagnosis
Monthly totals hide the half-hour behaviour that actually sets demand charges and peak exposure.
Tariffs are modelled in spreadsheets
Complex tariff logic lives in one analyst's workbook, which means nobody can test a decision against it.
No link to what the site was doing
Consumption without production context cannot separate waste from work.
How it operates
Not a one-off analysis — a loop, where every intervention improves the next recommendation.
Three things it does differently.
Cost down to the asset
Interval consumption joined to tariff structure, asset registry and production schedule.
Load shapes, not averages
Peak formation, baseload drift and anomalous consumption surfaced as they emerge.
Test before you commit
Model tariff, shift-pattern and equipment changes against your own load history.
Early, and deliberately so.
We would rather build this with a small number of organisations that have the problem badly than launch broadly and guess.
Design partners
Working directly with a small group to shape scope against real data and real constraints.
Private pilot
A narrow, instrumented deployment on one site or one programme, with success defined up front.
Wider availability
Opened up once the pilot proves the model holds outside the environment it was built in.
Want to see it first?
Tell us a little about your situation. We are prioritising organisations where this problem is already costing real money, and we will reply personally — no drip sequence.
Received — thank you.
We read every one of these ourselves. If there is a fit you will hear back from a person, usually within a couple of working days.