assetCAST: Stop Reacting To Breaks. Start Preventing Them.

Reactive repair keeps utilities one break behind. Three analytical layers address that gap: machine learning pipe failure forecasts that flag at-risk assets and catch deteriorating neighborhoods early, survival analysis that predicts time to failure and supports 20-year plans with confidence intervals for regulatory compliance, and capital planning that sequences projects within budget constraints. The stated impact includes 15-25% project cost reductions through efficient bundling and planning cycles cut from months to days. It also takes on a familiar planning problem: dozens of "optimal" portfolios that must be narrowed to a single ranked recommendation matching stakeholder priorities. Validated models and explainable predictions support defending each decision.

Explore the approach to see how break data becomes a multi-year capital plan.