The City of Detroit has leveraged predictive modeling to achieve a 75% decrease in its proposed project schedule, assess communities most at risk, and reduce the estimated number of lead service lines from 120,000 to 80,000.

Middlesex Water Company leveraged predictive modeling to reduce their unknowns by 40%, saving significant effort and rapidly identifying inventory materials.

The City of Baltimore is leveraging in-pipe lead detection methods to identify lead service lines in their distribution system.

The Cleveland Water Alliance demonstrates how Solinas Technologies – Acoustic Technology can be used to detect lead pipes without digging, resulting in substantial cost savings.

Viken Detection’s XRF – PB200 x-ray imaging technology can be used to detect lead service lines without excavation.

Ground Penetrating Radar (GPR) is a non-invasive technology that uses electromagnetic waves to detect and map subsurface structures with high levels of accuracy.

Swordfish identifies lead pipes using an auto-fed cable and low-voltage conductivity probe that goes in the pipe, without the need for excavation.

BlueConduit delivers rigorously designed, predictive and decision modeling tools that empower water system leaders to make informed decisions on behalf of the communities they serve.

leadCAST Predict helps you accelerate the classification of unknown service lines and prioritize field verifications through advanced service line material predictions powered by machine learning. leadCAST Predict is an additional feature of leadCAST LCRR compliance management solution.

VODA.ai Lead Management solution was created to help find lead service lines using machine learning models.