Our Customers
Water systems face a lot of uncertainty in lead service line inventory and replacement work.
Since 2016, our team has worked with utilities and municipalities to predict unknown service line materials and provide transparent reporting. Now we’ve launched the BlueConduit platform to accelerate lead service line replacement (LSLR) at scale.
Water Utilities
BlueConduit has worked with water utilities in over two hundred communities to predict the location of lead service lines in their water systems and accelerate their LSLI/LSLR projects.
Example customers:
- Detroit, MI (>640K population),
- New Orleans, LA (>380K population)
- Toledo, OH (>270K population),
- Flint, MI (>100K population)
- Trenton, NJ (>80K population),
- Benton Harbor, MI (population <10K).
Case Studies
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South Carolina DHEC Approves BlueConduit’s Statistical Methods Approach to No-Lead Validation
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Case Study: Getting the Lead Out in Halifax
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South Bend Utilities LSL Inventory Case Study
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Case Study: Cary Utilities Department uses Esri LSLI and BlueConduit for LCRR Compliance
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WaterWorld: Detroit uses Machine Learning for LSL Inventory and Replacement
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Video: Detroit Water & Sewerage Department and BlueConduit
Our Customers
BlueConduit works with water systems large and small, in urban, suburban, and rural communities. We help them ensure that their lead service line (LSL) projects proceed as quickly and efficiently as possible, so they can be confident that they are delivering safe and healthy water to their communities.
Water systems face many pressures. On one hand, the EPA’s latest revisions of the Lead and Copper Rule (LCR) have set very clear expectations and timelines for lead service line inventory requirements (LSLI) and lead service line replacement (LSLR) projects. Communities have likewise been extremely clear with their own expectations and their need for reassurance that any issues with their drinking water have been identified and are being addressed.
But at the same time, utilities face a lot of uncertainty as they work on their LSLI/LSLR projects. Older communities struggle to sort out a contradictory jumble of inaccurate, incomplete, or damaged records (often in many different formats) and to correct this information with what they’ve gathered from line inspections, water tests, and patterning agencies. Meanwhile, although younger communities may have less likelihood of lead lines in their water infrastructure, they also have less data to draw on in order to begin to track down what lead may be in their system or to begin to assess what their true risk level is.
Since 2016, our team has worked with utilities and their engineering firms to identify service line materials statistically. Now, we’ve launched the BlueConduit platform to help water systems accelerate lead service line replacement (LSLR) at scale. Our platform uses the latest advancements in machine learning and predictive modeling, backed by a team of experienced data scientists. We prioritize providing transparent reporting to our customers, and are more than happy to help your staff and stakeholders dig into the details, so that your community members have what they need to feel confident.