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Sewerai case study
Problem: The city of Houston faced a growing backlog of sewer inspection data as their in-house team worked to meet ambitious goals across one of the nation’s largest municipal networks. Manual data entry, slow turnaround times and a reliance on outdated software limited how many miles could be inspected and analyzed each month — creating delays in identifying and addressing critical infrastructure risks. Solution: Houston partnered with SewerAI to modernize its approach using the PIONEER platform, a cloud-based inspection and asset management system. Inspection footage was uploaded from the field directly to the platform, where SewerAI’s AI-powered AutoCode tool applied defect
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