Failures are rare and precious
Every confirmed failure is a training example that took years to produce.
Assets, grids and predictive maintenance
AI Data for Energy and Utilities
Inspection imagery and sensor history, prepared for the models that keep networks running.
Finding Faults Before They Find You
Utility AI is predictive maintenance with consequences. The datasets behind it need confirmed outcomes — not "this looked worn" but "this failed, and here is what it looked like six months earlier". That linkage is the difference between a demo and a deployment.
Where Energy & Utilities AI Programmes Struggle
Assets span decades
Equipment installed thirty years apart sits on the same network.
Inspection access is limited
Much of the estate is hard or unsafe to reach.
Outcomes lag observations
The label for today's image may not exist for a year.
AI Use Cases We Support
Powerline inspection
Conductor, insulator and hardware defect classification.
Substation monitoring
Equipment condition from fixed and thermal cameras.
Pipeline integrity
Corrosion, leak and encroachment annotation.
Solar and wind assets
Panel and blade defect detection from UAV capture.
Grid load and fault series
Sensor history labelled with confirmed events.
Meter and reading extraction
OCR and validation for legacy metering.
Data Types We Handle
- Inspection imagery UAV, helicopter and ground capture.
- Thermal imagery Hot-spot annotation aligned to visible light.
- SCADA and sensor series Operational history labelled around events.
- Maintenance records Work orders linked to observations as ground truth.
How We Run the Programme
- Outcome-linked labelling Images are labelled against what actually happened to that asset.
- Severity, not just presence Defects are graded so maintenance can be prioritised.
- Asset-generation coverage Sampling spans the estate deliberately.
- Long-horizon programmes Datasets are maintained as outcomes arrive, not frozen at delivery.
Build Energy & Utilities AI on Data You Can Trust
Tell us what you are building and we will come back with a plan, a sample and a price.