Reduce Cost.
Add Value.

Machine Learning supports a new way of aligning maintenance, repair and replacement strategies. Fracta enables fast, accurate and cost-effective water main repair, rehabilitation and replacement decisions that better allocate capital expenditures and reduce operating expenses.


Utilities and their consulting engineers perform desktop and physical condition assessments of buried water mains as part of their infrastructure asset management. Physical condition assessments tend to be slow, expensive and labor intensive. Multiple physical measurements are required for correlation and confirmation. Beyond the tested pipe, it’s difficult to extrapolate this data for system-wide recommendations.

Desktop condition assessments primarily rely on age, break history and the experience of the engineer evaluating data. The results are often based on best professional judgment, which is a generally accepted engineering practice, but it can be subjective. It’s also been shown that age-based analyses are significantly less accurate, more time intensive and more expensive.

Fracta empowers utilities to move from reactive to preventative and predictive water asset management best practices in a cost effective manner.

2. Reduce Break Rates

AI, especially Machine Learning, benefits from large amounts of data. The model gets stronger as more data is processed. Fracta uses nation-wide geospatial information as well as tens of thousands of miles of water mains and historical break events to calculate LOF and COF to determine BRE.

As time goes by, more data is collected and the accuracy of LOF and COF improves. By rehabilitating or replacing the worst pipe, utilities should see their break rates decrease over time.

According to the Water Research Foundation, large-diameter pipe breaks result, on average, in a cost to utilities more than $1 million each. Small-diameter breaks cost around $10,000 each.

Initial data on pipe break reduction demonstrates an 11% reduction in future breaks. With the average cost of a break being either $1 million or $10,000 (depending on the pipe size) the savings on pipe break reduction quickly become substantial.

3. Reduce Non-Revenue Water Loss

The utilities industry has a long-standing commitment to reducing non-revenue water loss. America’s water infrastructure is a significant driver of this. By reducing break rates in their systems, you can greatly reduce the amount a non-revenue water loss in their utility.


Capital rehabilitation and replacement improvement strategies and planning rely on accurate predictions of the most vulnerable water mains. An inflated LOF score could dramatically over or under estimate risk and lead to replacing low-risk pipe or ignoring high-risk pipe. Either way, your capital spend becomes inefficient.

Industry data suggests 30-40% of replaced pipe has useful remaining life. No matter the size of your utility, losing 30-40% is tremendous waste. Fracta helps you make sure that doesn’t happen. Spend your capital wisely.


With Fracta, utilities can establish an objective, data-driven approach to satisfy GASB 34 Modified Approach requirements for system-wide condition assessments. Additionally, utilities can move away from inaccurate depreciation of sustainable infrastructure systems – improving accuracy of financial statements.

Ultimately, utilities capture cost savings while providing the following benefits:

  • Avoid economic impacts incurred from water main breaks
  • Reduce time required by accounting to report on buried infrastructure systems
  • Identify needs
  • Justify and allocate funding


The following graphic illustrates the comparison of the Fracta Machine Learning Model vs. an age-based model for a medium utility of 847 miles.

“To leave good pipe in the ground as long as possible is economically important.”

- Katie Miller, San Francisco Public Utilities Commission