SewerAI is Offering AI-Driven Solutions for Modern Sewage Management

Climate change is reshaping the risk landscape for critical infrastructure — and few systems are feeling the pressure more acutely than the sewage networks that underpin modern cities. Increased flooding events are overwhelming wastewater treatment facilities, while aging pipelines buckle under the strain of decades of deferred maintenance. The U.S. Environmental Protection Agency estimates that nearly $700 billion in investment will be needed over the next two decades just to maintain current wastewater, stormwater, and clean water pipeline networks across the country.

Into this challenge steps SewerAI, a company founded five years ago by Matthew Rosenthal and Billy Gilmartin — both veterans of the wastewater treatment sector. Their mission: harness artificial intelligence to automate data capture and defect identification in sewer inspections, replacing slow, error-prone manual processes with scalable, cloud-based technology.

Aging Infrastructure, Modern Solutions

The urgency behind SewerAI's work is hard to overstate. As co-founder Matthew Rosenthal explains:

Most of our infrastructure was constructed post-World War II and is now reaching the end of its operational lifespan. SewerAI introduces a revolutionary AI-driven software-as-a-service platform for underground infrastructure inspection and management.

SewerAI serves a broad customer base — municipalities, utilities, and private contractors — through cloud-based, AI-powered subscription products designed to modernize every stage of the inspection workflow.

The Product Suite: Pioneer and AutoCode

SewerAI's platform centers on two flagship products:

• Pioneer enables field inspectors to upload inspection data directly to the cloud, where project managers can annotate issues and track findings in real time.
• AutoCode automatically annotates inspections of pipes and manholes, generating detailed 3D models from GoPro or other standard camera footage — dramatically reducing the time and expertise required to process inspection data.

The contrast with legacy solutions is stark. As the company notes:

In contrast to traditional providers offering outdated on-premise or truck-based software, SewerAI's technology enhances operational efficiency by enabling more inspections per day at reduced costs.

A Competitive Edge Built on Data

The underground infrastructure inspection market is growing, with competitors including Subterra, ClearObject, and Pallon. SewerAI's key differentiator, however, lies in the depth and breadth of its training data: footage covering 135 million feet of pipes sourced from a wide range of contractors and municipalities. That scale of real-world data gives SewerAI's AI models a significant accuracy advantage when identifying defects across diverse pipe types and conditions.

The company's broader vision is to shift the industry away from reactive crisis management toward proactive infrastructure stewardship:

Our products empower clients to proactively manage infrastructure, shifting from reactive emergency responses.

$15 Million Series B Fuels Expansion

SewerAI recently closed a $15 million fundraising round led by Innovius Capital, bringing the company's total investment to $25 million. The new capital will be deployed across several strategic priorities: expanding into new markets, refining AI models, growing the team, and broadening the product lineup to address a wider range of underground infrastructure challenges.

The funding reflects strong commercial momentum:

As demand grows for our platform, enabling enhanced efficiency within existing budgets, we have secured substantial contracts.

With billions of dollars in infrastructure investment on the horizon and climate pressures mounting, SewerAI's AI-first approach to sewer inspection and management is well-positioned to become a critical tool for the municipalities and utilities tasked with keeping underground networks running safely and efficiently.

Source: waterHQ — SewerAI is Offering AI-Driven Solutions for Modern Sewage Management, written by Kyle Wiggers, June 2024.