Industry · Energy

AI for energy companies, utilities and renewables

From power plants to distribution grids and renewable portfolios, we help energy organisations forecast better, maintain smarter and automate operations — safely alongside existing control systems.

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01 The challenge

The energy transition is a data problem

Variable renewables, electrification, ageing assets and new market rules all make energy systems harder to run. Control rooms and maintenance teams are expected to make faster decisions with more uncertainty.

Energy companies already hold the data to help: SCADA, historians, meters, weather feeds and maintenance records. AI turns it into forecasts and recommendations — if it is integrated with care for operational technology and security.

02 Use cases

Use cases in energy

  • 01

    Generation and load forecasting

    Solar, wind and demand forecasts for scheduling, trading and balancing.

  • 02

    Predictive maintenance

    Early warning for turbines, transformers, inverters and substations.

  • 03

    Grid optimisation

    Storage dispatch, congestion management and loss reduction recommendations.

  • 04

    Smart metering analytics

    Theft and tamper detection, anomaly alerts and customer insights.

  • 05

    Inspection with drones and vision

    Automated analysis of line, panel and turbine inspection imagery.

  • 06

    Operator copilots

    Private assistants that search procedures, manuals and incident history.

03 How we deliver

From first conversation to systems in production

  1. 01

    Discover

    Joint discovery with operations, maintenance and OT security teams.

  2. 02

    Prototype

    Models back-tested on your historical data before anyone relies on them.

  3. 03

    Deploy

    On-premise or edge deployment, segmented from control networks, feeding existing tools.

  4. 04

    Evolve

    Retraining and expansion across sites and asset types.

Every engagement can run in the cloud, on-premise or fully air-gapped. Your data stays under your control, and humans stay in command of every significant decision.

04 Outcomes

Outcomes

  • Fewer unplanned outages and better maintenance planning
  • More accurate scheduling around renewable variability
  • Operators supported by explainable recommendations
  • OT-aware security throughout

→ Two ways to work with us

Enhance what you have — or let us build and run it

Path A

Enhance what you have

Add AI and automation to the systems, products and operations you already run — no rip-and-replace, and your team stays in control.

Start with an enhancement

Path B

Build & manage for you

We design, build and launch it, then host, monitor, secure and improve it — or hand it over to your team.

Have us build it

05 Related

Services behind this work

06 FAQ

Energy: frequently asked questions

Do you replace our SCADA or EMS?

No. We add an intelligence layer that reads from existing systems and feeds recommendations back to operators.

Do you work with renewables developers?

Yes — forecasting, performance analysis and maintenance for solar, wind and storage portfolios.

Can models run at remote sites?

Yes, on edge hardware with intermittent or no connectivity.

How is cybersecurity handled?

Network segmentation, least-privilege access and monitoring are standard in every deployment.

How long before we see results?

A first forecast or alert can usually be evaluated on your historical data within weeks. Production rollout then depends on integration and approval steps at your sites.

Talk to us about your assets

Tell us what you want AI to take over. A senior engineer will get back to you — under NDA if you need it.

Start a project