ITpipes

About ITpipes

ITpipes provides a software platform for the management of pipeline inspection data, primarily serving the wastewater and stormwater infrastructure sectors. Founded in 2009 by Cori Criss and Al Rossmeisl, the company was established to address a need for a U.S.-based pipe inspection software that could seamlessly integrate with Esri's GIS technology and various asset management systems. Criss, who now serves as the company's President, has over 25 years of experience in the infrastructure data management industry, having previously founded WinCan America in 1996. In May 2023, Ned Bebawy took ownership of the company and now serves as CEO, overseeing sales and product strategy. His background includes co-founding AutoLeap, a software company for the automotive repair industry, and experience in infrastructure consulting.

The firm's business model is centered on providing software solutions that enable clients, such as municipalities, utilities, and engineering firms, to collect, analyze, and manage their underground asset inspections. This allows them to shift from reactive to more predictive maintenance schedules. ITpipes generates revenue through the licensing of its software, which can be deployed on-premise, in the cloud, or as a fully managed SaaS solution. The company recently secured $20 million in a Series B funding round in August 2024, co-led by Trilogy Search Partners and Miramar Equity Partners, to scale operations and advance product development, particularly in AI-driven technologies.

The ITpipes platform consists of several integrated products. ITpipes Field is a mobile application used for on-site data collection, designed to work with various CCTV camera systems and is compliant with industry standards like NASSCO. ITpipes Office is a browser-based tool for data management, analysis, reporting, and scheduling. The platform features ITpipes Sync, which automates the transfer of inspection data from the field to the office, and ITpipes Web, which provides browser-based access to inspection data with GIS mapping integration. A key technological advancement is the Assisted Inspection Coding (AIC), which uses AI to automate defect coding from inspection footage with high accuracy, aiming to reduce manual review time significantly.