An AI system built specifically for Utilities

Data ingestor

Streamline data from GIS and other systems into a clean asset registry

Copilot

AI-driven copilot that can answer questions and run analysis

Benchmarking

Benchmark across asset types using regulator favored datasets

Magic reports

Instant asset and regulatory report generation by trained AI models

Score formulas

Formula builder for automating asset health score calculations

Outage response

Springboard outage narrowing software (requires SCADA/ADMS connection)

Data auditing

Score data quality for assets and create actionable data lists to close key gaps

Surveillance

A better anomaly detection, using AI (requires SCADA/ADMS connection)

Heat maps

Effortlessly display health, criticality, and risk on a map

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Latest AI x Utilities

July 16, 2024

Predictive maintenance: future-proofing asset management in utilities

AI based predictive maintenance varies widely in benefits with costs decreasing only 15% while downtime can improve up to 60%. The accuracy of a predictive model is correlated to the amount of failure training data available.

May 7, 2024

Machine learning in the wear-out period of a utility asset

In the US/Canada, 15% of assets are running past expected life. The average Utility can unlock up to $3B in value by leveraging a machine learning to manage wear-out period assets.

April 19, 2024

Managing the 30% of US distribution assets at end of life

Approximately 30% of Utility distribution assets are in the end of life period. Technology, specifically AI and ML, can now be leveraged to run assets longer than before, through the wear-out period.