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A utility reduced unplanned downtime 31% with predictive maintenance and vision-based asset inspection.
Client background
Helios EnergyA utility reduced unplanned downtime 31% with predictive maintenance and vision-based asset inspection.
Aging field assets failed unpredictably, and manual drone-image review couldn't keep pace with inspection demand.
We combined predictive maintenance forecasts with Computer Vision triage of inspection imagery, coordinating dispatch through agents.
Failures were forecast from sensor and inspection signals, and imagery was triaged automatically. Field crews were dispatched to the right assets first.
Measured outcomes from the deployment. Figures are illustrative mock data.
A national insurer automated claims triage and damage assessment while routing judgment calls to expert adjusters.
A consumer goods manufacturer scaled visual quality inspection 4x while reducing manual review load by 71%.
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