Artificial intelligence is rapidly changing how utilities understand and manage aging underground infrastructure. Matthew Rosenthal, co-founder of SewerAI, explains how the company is helping cities, engineers, and contractors inspect sewer and stormwater systems more efficiently by combining field data collection, AI-powered defect detection, and automated reporting tools.
Operators use remote camera inspections to collect data inside buried pipes, while AI helps identify defects, improve data quality, and reduce the time required to review thousands of hours of video. Advances in AI are also accelerating product development and creating new opportunities to automate complex tasks that once took engineers hours, days, or even weeks to complete.
A major focus is the growing role of AI agents and automated workflows, including tools that can transform large volumes of inspection data into project reports and actionable insights in minutes. Expanding datasets continue to improve system performance, while new AI capabilities are helping utilities move beyond simply collecting information to making faster, more informed infrastructure decisions.
As utilities face mounting infrastructure challenges, SewerAI offers a look at how artificial intelligence is moving from experimentation to practical application in the management of critical underground assets.
Learn more at https://www.sewerai.com/
Thanks to SewerAI for sponsoring our episode on Data Center Alley: https://youtu.be/8WssBm0r_cw?si=coAwa7YGgVlYH-e-
00:00 Introduction to SewerAI
00:49 How AI Inspects Sewer Pipes
01:41 The Rapid Evolution of AI
04:27 What Sewer Data Reveals
05:58 AI Agents and Automated Reports
06:10 The Future of AI in Infrastructure
waterloop is a nonprofit news outlet exploring solutions for water sustainability. Visit https://www.waterloop.org/
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