Cincinnati, Ohio
This education session explores how advanced, data-driven technologies are transforming the way municipalities and utilities detect and address inflow & infiltration (I&I) in wastewater collection systems. Participants will learn how BASINiQ™ technology leverages hundreds of sensors, continuous monitoring, and digital twin modeling to pinpoint and prioritize I&I sources up to 10–20x faster than traditional methods.
Key Concepts:
President & CEO
Jonathan Borden brings over 30 years of business experience to the industry. He holds a bachelor’s degree in mechanical engineering and has worked as a Project, Program, and
Portfolio manager for Fortune 100 companies across the globe. Jon has a background in Digital Twin technologies and has trained hundreds of executive and engineering professionals in the U.S., Central America, Europe, and Asia. He has also been a guest lecturer at universities. He now serves as the President and CEO of RH Borden and Company.
Regional Account Manager
Jason Lake entered the water and wastewater industry as a technology provider starting in 2010, working for both Municipal and Industrial clients. Jason utilizes his technical background in Computer Science, combined with 12+ years of solving wastewater challenges, to provide guidance in adopting new technologies and incorporating condition-based maintenance strategies. Jason has presented at WEF and GWI conferences on the benefits of using AI and enhancing utility productivity through new technology. Jason joins the RH Borden team as the Southern California Account Manager.
Regional Account Manager
Kwin Peterson is an expert on Condition-based maintenance and a registered instructor on the subject. As an account manager for RH Borden, Kwin has helped more than 60 collection systems use data to be more efficient in their maintenance. Before joining RH Borden, he spent 17 years in the electric utilities industry, where he worked in education, public relations, and support of technical committees.

BASINiQ leverages a programmatic, data-driven strategy—combining Major and Target Basin I&I studies—to rapidly and accurately locate the most critical inflow and infiltration (I&I) sources. With hundreds of sensors deployed throughout a basin, BASINiQ captures real-time wet-weather data that clearly reveals where unwanted water is entering the system, enabling pinpoint identification and quantification of I&I sources. This innovative approach is significantly faster and more cost-effective than conventional methods, delivering actionable insights and prioritization within a fraction of the time.
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