Service · Energy automation
AI energy automation for plants, grids and renewables
We connect AI to the systems that already run your assets — SCADA, PLCs, historians and meters — so generation, distribution and maintenance decisions are made earlier, faster and with more confidence.
01 The challenge
More variability, same control room
Energy operators are being asked to do more with infrastructure that was designed for a simpler world. Solar and wind add variability by the minute, demand patterns are shifting with electrification, and many assets are reaching the age where unplanned failures become expensive.
The data to manage this already exists in SCADA systems, historians, smart meters and maintenance logs. What is usually missing is a layer that turns that data into forecasts, alerts and recommended actions — and integrates them safely with operational technology.
02 Capabilities
What we automate in energy
- 01
SCADA and PLC integration
Secure, read-first connections to SCADA, PLCs and historians (OPC UA, Modbus, IEC protocols) that feed AI models without disrupting control.
- 02
Solar, wind and load forecasting
Short- and medium-term forecasts combining weather, calendars and historical output, down to plant or substation level.
- 03
Predictive maintenance
Early warning for turbines, transformers, inverters and pumps from vibration, temperature and electrical signatures.
- 04
Grid optimisation and dispatch
Recommendations for storage dispatch, feeder rerouting and curtailment, with operator approval in the loop.
- 05
Smart metering analytics
Loss detection, anomaly and tamper detection, and consumption insights from meter data at scale.
- 06
Field inspection with vision
Drone and camera imagery analysed for panel soiling, line defects and vegetation encroachment.
03 How we deliver
From first conversation to systems in production
- 01
Discover
We review your assets, data sources and OT security constraints, and agree which forecast or alert has the most operational value.
- 02
Prototype
A model trained on your historical data, back-tested against real events and shown to operators in a simple dashboard.
- 03
Deploy
Deployment on-premise or at the edge, segmented from control networks, with outputs flowing into existing operator tools.
- 04
Evolve
Continuous retraining as assets, weather patterns and demand change, plus new sites and use cases.
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 operators care about
- Maintenance planned before failures instead of after outages
- Better forecasts for scheduling, trading and balancing
- Operators supported by clear, explainable recommendations — they stay in command
- Security-conscious integration that respects the separation of IT and OT
→ 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 enhancementPath 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 it05 Related
Industries we bring this to
- EnergyPlant and grid automation, renewable and load forecasting, predictive maintenance and smart metering.AI for Energy →
- ManufacturingVision inspection, predictive maintenance, line automation, digital twins and supply-chain automation.AI for Manufacturing →
- GovernmentCitizen-service copilots, document and case automation, fraud detection and sovereign AI for the public sector.AI for Government →
- Predictive Analytics & Data PlatformsForecasting and risk models, plus the data pipelines, MLOps and monitoring behind them.Related service →
- Factory & Industrial AutomationVision quality inspection, predictive maintenance, robotics and PLC line automation, digital twins and supply-chain automation.Related service →
- Computer VisionDetection, inspection, tracking and imagery analysis — from factory lines and CCTV to drones and satellites.Related service →
- CybersecurityAI threat detection, 24/7 SOC monitoring, penetration testing, audits and compliance, and LLM security.Related service →
06 FAQ
Energy Automation: frequently asked questions
Will AI take control of our SCADA system?
No. We start read-only. Any write-back to control systems is optional, limited in scope and always subject to operator approval and your safety procedures.
Which forecasting horizons do you support?
From intra-day and day-ahead to multi-week horizons, depending on what your scheduling, trading or maintenance teams need.
Can this run without cloud connectivity?
Yes. Models can run on-premise or on edge hardware at the plant, which is common for critical infrastructure.
Do you work with renewables as well as conventional plants?
Yes — solar, wind, hydro, storage, thermal plants and distribution networks.
How do you handle cybersecurity in OT environments?
Network segmentation, least-privilege access and monitoring are part of every deployment, delivered with our cybersecurity team.
Let's make your grid smarter
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