solution paper

Stop Managing Assets by Calendar, Start Managing by Condition

Modern utilities are facing an uphill battle, with aging infrastructure and severe weather accelerating the failure rates. Traditional, cycle-based maintenance is not only inefficient but leaves your grid vulnerable to avoidable outages. It is time to transition from static 2D models to dynamic, 3D grid twins.
GridOS® Visual Intelligence uses AI-powered anomaly detection to identify structural risks such as sagging lines, rotting poles, corroded transformers, and flashed insulators long before they escalate into emergencies. By shifting to a risk-based maintenance strategy, you can gain the actionable intelligence required to optimize both OpEx and CapEx.

Why shift to Visual Intelligence for Asset Management?
  • Data-Driven Decision Making: Use precise 3D digital twins for strategic grid planning and long-term capital investment optimization.
  • Extend Asset Lifespan: By proactively addressing minor anomalies, you can avoid premature asset replacement.
  • Operational Efficiency: Our AI automates the comparison of imagery against asset data, generating actionable work orders in hours rather than weeks.
Impact: A Major European Utility Case Study

A leading European utility managing over 300,000 kilometers of overhead lines leveraged Visual Intelligence to modernize their inspection programs. The results transformed their operations:
  • 85% increase in efficiency for inspection and diagnosis processes.
  • 38% reduction in outages by identifying and fixing structural defects early.
  • Avoided the €30 billion cost of burying the entire network by extending the life of existing assets.
Enterprise-Grade Infrastructure and Scalability with AWS

Visual Intelligence leverages Amazon Simple Storage Service (Amazon S3) for secure, scalable data storage and utilizes elastic compute capabilities to run high-intensity computer vision models. This cloud foundation ensures utilities can process vast amounts of imagery and LiDAR data with the speed, security, and scalability required for enterprise-wide operations.

Want to learn how you can modernize your grid orchestration and move toward a future of predictive, resilient operations?
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Solution Paper

Stop Managing Assets by Calendar, Start Managing by Condition

Modern utilities are facing an uphill battle, with aging infrastructure and severe weather accelerating the failure rates. Traditional, cycle-based maintenance is not only inefficient but leaves your grid vulnerable to avoidable outages. It is time to transition from static 2D models to dynamic, 3D grid twins.

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