AI & Digital Transformation · Energy sector only

Nine services built around a real gap in the energy sector.

Each service below exists because the same capability shortage kept slowing energy programmes down. The general technology market could not fill it — so we built the talent network to close it.

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Engineer monitoring energy systems at a multi-screen workstation
01

Digital Transformation in Energy

SCADA modernisation. OT/IT convergence. Hybrid cloud. Digital twins. ICS security.

  • SCADA, EMS, DERMS modernisation
  • OT/IT integration to IEC 61850 and IEC 62443
  • Hybrid cloud (AWS, Azure, GCP)
  • Digital twin delivery
  • ICS cybersecurity and edge computing
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Close-up of a glowing circuit board representing AI compute
02

AI Integration in Energy

Predictive AI for the grid. Built for operational energy environments, not demos.

  • Time-series forecasting: LSTM, Transformers, TFT
  • Reinforcement learning for wind turbine control and BESS dispatch
  • Physics-Informed Neural Networks
  • Ofgem-grade Explainable AI using SHAP and LIME
  • ISO 42001 AI governance
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Analytics dashboard showing energy performance charts
03

Energy Data and Analytics

SCADA telemetry to AI-ready data. The foundation that AI models actually need.

  • Telemetry pipelines: Kafka, Spark, AWS/Azure IoT
  • OT data extraction from PI OSIsoft and SCADA historians
  • GB Common Information Model alignment
  • Data quality frameworks
  • Operational dashboards
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Wind turbines at sunset across an open field
04

Asset Intelligence and Predictive Maintenance

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

  • Asset health scoring from SCADA and sensor data
  • LSTM anomaly detection
  • Computer vision for drone and thermal inspection
  • Maintenance prioritisation workflows
  • CMMS integration
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Wind turbines spread across green rolling hills
05

Grid and Operations Optimisation

Better decisions. Lower balancing costs. Fewer curtailment events.

  • Demand and generation forecasting: LSTM, TFT
  • BESS dispatch optimisation using reinforcement learning
  • Constraint modelling for DNOs
  • Virtual power plant orchestration
  • Decision dashboards
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Rows of secured data-centre server racks
06

Cybersecurity and AI Governance

OT security and AI governance built in from day one.

  • IEC 62443 Zone and Conduit
  • NIS Regulations compliance
  • Ofgem Ethical AI implementation
  • ISO 42001 AI Management System
  • Explainable AI for control rooms
  • Zero-Trust across cloud and OT edge
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Mathematical equations and diagrams representing physics-based simulation
07

Digital Twins and Simulation

Test the decision before it reaches live infrastructure.

  • Asset and network digital twin delivery
  • Physics-based model integration
  • BESS simulation
  • Scenario modelling for planning and investment
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Large solar array under a clear blue sky
08

Grid Connection Advisory

Move faster in a connection queue that grew fivefold in 18 months.

  • AI-assisted feasibility studies
  • Constraint and capacity modelling
  • Connection offer review and rebuttal
  • DNO engagement support
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Two colleagues collaborating during an AI enablement session
09

AI Workforce Enablement

Close the gap between deploying AI and having teams who trust it.

  • AI literacy for energy operations roles
  • Control-room confidence workshops
  • OT knowledge transfer
  • Ofgem AI governance training
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UK EnergyTier-2 SpecialistRemote-first
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