Take Charge of the Riskiest Parts in Your Network
Full network visibility is the key to reducing risk in any water main system and its only available through Fracta's TotalRisk approach.

FEATURES
Allocate Funds Exactly When and Where They're Needed
With thousands of miles of pipe in your infrastructure, which do you replace first? Utilities need a fast, accurate and affordable way to evaluate the condition of their water network. Go beyond just a pipe’s age and break history to identify the Likelihood of Failure (LOF).
Determine Repair Priorites Within Your Entire Network
See the difference between a break near critical facilities and one out in the middle of a field.
Combine LOF and COF into one useful metric
Connect the dots between risk and financial impact with one north star value.
Prepare Budgets, Annual Plans, & Grants Applications
Advanced financial data makes budgeting, annual planning and applying for a grant quick and simple.
OUR PLATFORM
Apply a third dimension to your planning by understanding how different parts of your network relate to each other

LOF x COF = Total Risk
Apply a third dimension to your planning by understanding how different parts of your network relate to each other. Easily compare different parts of your water network based on the critical facilities impact, level of service interruption, and correlation with other parts of your network downstream.
LOF x COF = Total Risk
Apply a third dimension to your planning by understanding how different parts of your network relate to each other. Easily compare different parts of your water network based on the critical facilities impact, level of service interruption, and correlation with other parts of your network downstream.
Successful Customer Stories
Machine learning is quickly becoming a best practice for pipe condition assessment. Learn how other utilities around the world are successfully implementing our technology below.

Suez North America
After implementing Fracta, SUEZ estimated that within 5 years they will save $5 million dollars in their largest 7 water main systems.

San Francisco Public Works Comission
By using Fracta’s machine learning algorithm, SFPUC was able to meet and exceed their annual pipe replacement goal of 13 miles by prioritizing the top 1% of riskiest pipes.
See why hundreds of utilities across the globe choose Fracta
Machine learning is quickly becoming a best practice for pipe condition assessment. Learn how other utilities around the world are successfully implementing our technology below.

Understand the Total Risk In Your Water Network
Unlock hidden insights, patterns and trends in your own water network today.
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