Artificial intelligence is transforming how cities understand and manage their underground water infrastructure.

In this episode, Eric Sullivan of SewerAI explains how computer vision and the cloud are revolutionizing the inspection and maintenance of wastewater systems.

Technology automatically detects and classifies defects in sewer pipes using AI models trained on hundreds of millions of feet of inspection data—cutting time, cost, and human error. Sullivan describes how this shift allows field crews to focus on safety and efficiency while enabling engineers to make faster, data-driven repair decisions.

With real-time data syncing and benchmarking across hundreds of systems, utilities can now monitor conditions continuously, prioritize investments, and demonstrate performance improvements over time.

As Sullivan shares, the integration of big data, AI, and affordable camera technologies is making pipe inspection smarter, faster, and more accessible—reshaping the future of water infrastructure management beneath our streets.

Learn more about SewerAI

waterloop is a nonprofit news outlet exploring solutions for water sustainability.