Asset IntelligenceUK Energy Sector

Turn existing sensor data into zero planned downtime.

The IEA confirms AI-driven fault detection cuts asset downtime by 30% to 50%. Yet most operators aren't seeing those numbers — and it isn't a data problem. Your turbines, substations and transformers are already streaming endless SCADA loops, vibration metrics and temperature logs. We turn that stream into foresight.

  • LSTM & Transformers
  • Computer vision
  • SCADA + vibration
Wind turbine close-up against a clear sky

30–50%

Downtime reduction — the proven industry benchmark for AI-driven fault isolation.

34%

Fewer unplanned failures, achieved across an 800 MW wind portfolio.

60 days

Average time from initial deployment to 100% maintenance-team adoption.

The Reality

It was never a data problem. It was a modelling problem.

Your assets already generate everything a model needs — high-frequency SCADA loops, acoustic vibration, thermal logs. The gap is the production-grade intelligence built specifically for heavy energy infrastructure.

We don't sell rigid, off-the-shelf software. We deploy deep-learning models tuned to your exact assets, failure modes and data formats — the difference between a dashboard nobody trusts and a prediction crews act on.

Spot failure weeks before it becomes a callout or a curtailment event.

What we build

Deep-learning models tuned for heavy asset infrastructure.

Production-grade intelligence built specifically for energy generation and grid distribution — not a generic platform retrofitted to your estate.

Analyst monitoring live asset health telemetry
Model 01

Predictive asset health scoring

One live health index
We unify fragmented streams — SCADA telemetry, acoustic vibration, historical logs — into a single dynamic health index per asset.
Tuned to your estate
Scoring calibrated to your specific assets, stress factors and historical failure modes, not a generic template.
Wind turbines across an open field at golden hour
Model 02

Time-series failure forecasting

Custom LSTM & Transformers
Architectures that process high-frequency sensor data to spot substation, transformer and turbine defects weeks before critical failure.
Fewer false alarms
Models tuned to your exact data formats mean drastically fewer false positives and higher accuracy than off-the-shelf software.
“A turbine in the North Sea and one in a desert fail in completely different ways. Your models should know the difference.”
Inspection drone surveying energy infrastructure
Model 03

Automated visual inspections

Computer-vision pipelines
Instantly scan drone-captured thermal imagery and high-resolution blade photography for defects.
Automatic categorisation
Structural delamination, cracks and hot spots, classified and prioritised without manual review.
How we engage

Flexible engineering partnerships built for energy operators.

Every utility, DNO and independent power producer sits at a different stage of digital maturity. We scale the engagement model to match your operational reality.

Model A

Flexible day rates (T&M)

Agile engineering sprints to clean up data pipelines, train initial models, or troubleshoot existing infrastructure.

Model B

Fixed scope & cost

Clear, milestone-driven delivery to deploy specific anomaly-detection models or integrate computer-vision workflows.

Model C

Embedded AI teams

Dedicated data engineers and energy-domain specialists working directly inside your IT and operations departments.

FAQ

Frequently asked questions

  • Standard software treats every asset the same. A turbine in the North Sea faces entirely different stress factors than one in a desert. Custom LSTM and Transformer models are tuned to your environment, historical failure modes and exact data formats — resulting in far fewer false alarms and higher accuracy.

Start the conversation

Build your predictive asset intelligence.

Tell us about your assets and the data you already stream. We'll come back with the right specialist and the engagement model that fits your maturity.

UK EnergyTier-2 SpecialistRemote-first
Tell us the scope

Start with your assets.

We will come back with the right people and the right engagement model.