Network condition assessment

Through advanced machine learning algorithms, the Likelihood of Failure module can predict the utility network condition as well as applying existing inspections for a complete condition assessment.

Key features:

Through advanced machine learning algorithms, the Likelihood of Failure module can predict the utility network condition as well as applying existing inspections for a complete condition assessment.

  • Reduce CCTV inspection costs by prioritizing areas in bad condition.
  • Optimize lifespan of the utility network through insights of estimated and observed condition.
  • Experience-based degrading profiles for all network types.
Customer Stories
"We're farther along than any utility in the state. We're 10 years in advance. I couldn't be more pleased with the efforts and the work that's taken place."
Brian Bracey

Huntington Water Quality Board, Executive Director

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Customer Stories
“Communities across Wisconsin and beyond are facing significant challenges in identifying, managing, and replacing lead service lines efficiently. By combining City Water’s utility expertise with APX10’s technology capabilities, we’re creating a solution that will deliver tremendous value for local communities.”
Tom Nennig

City Water, President, City Water LLC.

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Customer Stories
"We evaluated similar platforms but found that they are asking us to do a lot of the heavy lifting that APX® is doing already. This allowed us to start making decisions about our system in weeks rather than spending months or years to set everything up ourselves."
Brian Bracey

Huntington Water Quality Board, Executive Director

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Explore More Powerful APX® Modules

Discover how other APX® modules enhance your utility operations. From reducing inflow/infiltration to improving asset management—explore how each module supports smarter, data-driven decisions.

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