Energy & Utilities
Forecasting for load and generation, maintenance planning for distributed assets, and field workflows that keep working when the asset is three hours from the nearest office.
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Typical work in this sector
The systems we are most often asked to build in energy & utilities.
Forecasting that carries its uncertainty, because the reserve decision depends on the range
Maintenance prioritisation across assets competing for the same crew
Field applications that hold up on a weak connection
Document search across manuals, permits and inspection history
What we would tell you first
Forecast accuracy matters less than forecast honesty in this sector. An interval that is wide but truthful lets a control room plan reserve properly. A confident point estimate that turns out wrong costs considerably more than it saved.
Energy & Utilities Technology — Frequently Asked Questions
Why do you emphasise forecast uncertainty so much?+
Because the reserve decision depends on the range, not the midpoint. An interval that is honestly wide lets a control room plan properly. A confident point estimate that turns out wrong costs far more than it saved — and in this sector the consequences are not just financial.
How do you prioritise maintenance across distributed assets?+
By modelling condition and consequence together, then scheduling against the crews you actually have. A perfect priority list that ignores travel time and crew availability is an academic exercise. We build the constraint in, because that is what makes the output usable.
Do field tools work where there is no connectivity?+
They have to. Field applications we build are designed offline-first, syncing when a connection returns, because the asset is frequently hours from the nearest reliable network and a tool that fails there is worse than paper.
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