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Industry

Utilities & Energy

Demand forecasting, loss detection and grid monitoring for water and power operators, built on the data your network already produces.

Networks that see what's coming.

Utilities run on data they rarely get to use. Smart meters report every fifteen minutes, SCADA streams load and pressure, crews file inspections, and most of it ends up in an archive nobody queries. Meanwhile planning is done on averages, losses are found by complaint, and the first sign of a burst is a phone call.

We have worked inside two of Greece’s largest networks, on water demand for Athens and on non-technical losses across the power distribution grid. The pattern is the same in both: the data is good enough, the models are not the hard part, and the difference is made by a system that fits how the operator already works. A forecast that lands in the planning tool. An inspection queue sized to the crews available. Alerts routed to the people who can act, and nothing else.

Every utility engagement starts with your historical data and your current method as the baseline. We show the improvement in your units, in weeks, and we build the pipeline, monitoring and handover so the system keeps working after we leave. Two of our products, OffGrid AI and Water AI, grew out of this work and are available to partners who want a head start.

Fewer surprises

Demand and load forecasts per zone, aware of weather and season, so planning runs on this year's numbers rather than last year's.

Inspections that pay off

Suspected losses ranked by likelihood, sized to the crews you have, so every field visit has a reason.

Scale without more crews

Monitoring that watches every meter and substation continuously and only interrupts people when something changes.

Where AI pays off in utilities & energy.

Demand and load forecasting

Consumption forecasts by district, day and hour, feeding operational planning and procurement.

Non-technical loss detection

Meter tampering, bypasses and theft found in consumption patterns and ranked for inspection.

Leak and burst signals

Night-flow and pressure patterns that point to leaks before they surface on the street.

Substation health

Load, voltage and temperature trends that flag equipment stress before it becomes an outage.

Inspection queues

A daily list per region with the reasons attached, integrated with the work-order system you already run.

Consumption insight

Where the water or power goes, by zone, customer group and time, in one view for operators and management.

Work in this industry.

Described the way the client experienced it. Ask us for the numbers on a call.

EYDAP

Problem

The Athens water utility needed demand forecasts across its network to support operational planning.

Outcome

Forecasting models built and validated on the utility's own history, feeding planning.

HEDNO

Problem

The Greek distribution operator loses energy to theft and tampering across a network far larger than its crews can inspect.

Outcome

Anomaly detection on consumption data that ranks suspected losses, so inspections go where they are most likely to find something.

Working in utilities & energy?

Tell us about the problem. We will tell you where we have solved something like it and what it would take.