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      <video:description>Fracta’s Likelihood of Failure (LOF) predicts which water mains are most at risk of breaking using AI and machine learning. By analyzing pipe age, material, soil, and environmental factors, LOF helps utilities and engineers prioritize repairs, prevent costly failures, and extend asset life through data-driven planning.</video:description>
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      <image:caption>Map of Palo Verde area showing a planned pipeline replacement project with colored lines indicating different status levels, and operating parameters listed on the left.</image:caption>
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      <image:caption>Screenshot of a software interface with a map in the background and a pop-up titled 'Scenario Configuration'. The pop-up contains various input fields and sliders for planning a PVC replacement project, including start and end dates, pipe length, LOF percentage, diameter, soil pH, precipitation, temperature, and population density.</image:caption>
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      <image:caption>Interactive map of Oakland, California, showing colored road segments indicating risk levels, with a legend on the right labeled 'Top 100%,' and a sidebar menu on the left with options 'Dashboard,' 'Map,' 'View Assets,' 'Analyze,' 'Fieldwork,' 'Reports,' and 'Datasets.'</image:caption>
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      <image:caption>Screenshot of a mapping and planning software interface showing a map of San Francisco with a highlighted green pipe, project details, settings, and asset layers for pipe installation scenario.</image:caption>
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      <image:caption>A digital map and pipe management software interface showing pipes in San Francisco, California, with details on pipe specifications and risk assessment.</image:caption>
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      <image:caption>Screenshot of a dark-themed geographic analysis interface showing a map with analyzed pipeline segments marked in red and orange. The interface includes various data filters and options on the left and top sections, parameters for job scenarios, and a legend indicating risk levels for pipeline segments.</image:caption>
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