PipeLogix partners with PipeAId to modernize and automate pipeline inspection

Pipeline inspection software developer PipeLogix announced Dec. 3 that it’s partnering with AI-driven solutions provider PipeAId to automate and improve condition assessment. They plan to let users of PipeLogix’s Phoenix software automate recognition and coding of sewer and stormwater system defects and features within their workflows for greater data accuracy and operational efficiency.

“We’re excited to announce PipeAId as our preferred partner and de facto offering for automated defect recognition and coding,” says Jeremy Wagner, CEO at PipeLogix. “The quality and completeness of PipeAId’s analysis and coding, and the simple workflow we created through a seamless integration with our Phoenix software, will greatly enhance the value of users’ investments in PipeLogix.”

Using thousands of miles worth of sewer inspection video data, Burgess & Niple developed PipeAId, and trained advanced computer vision algorithms to identify and code sewer defects and features to NASSCO standards. Every defect is geospatially mapped through a digital twin of the collection system. The result is a highly accurate, consistent and detailed representation of system conditions that empower utilities to make data-driven decisions, manage assets effectively and maximize maintenance and repair budgets.

“We’re proud to collaborate with PipeLogix and complement their best-in-class Phoenix software,” adds Andrew Stauffer, CEO at PipeAId. “This partnership is a testament to our focus on data quality and commitment to unlocking the power of data through an integration-first approach.”

PipeAId’s AI-enabled capabilities are immediately available to more than 500 municipalities, utilities and inspection contractors that presently use PipeLogix. Once PipeLogix users buy PipeAId integration, it’s turned on without needing to implement or train users about new software. PipeAId pricing is a flexible pay-as-you-go model based on linear feet that includes comprehensive quality assurance.