PipeLogix, a trusted name in pipeline inspection software since 2004, offers industry-leading tools for collecting, organizing, and analyzing CCTV survey data. With their robust capabilities—ranging from PACP-compliant data capture to advanced integration with GIS platforms—PipeLogix ensures that inspection data is not only precise but also easy to share and utilize.
This partnership allows us to elevate your experience by combining PipeLogix’s reliable software with PipeAId’s cutting-edge AI solutions. Together, we streamline the entire process of defect coding and analysis, saving you time while delivering actionable insights. The result? Faster, more accurate inspections with a comprehensive digital twin of your system, empowering you to make better decisions about your underground infrastructure.
Esri, the global leader in geographic information system (GIS) software, offers powerful mapping and spatial analytics solutions that empower organizations to make informed decisions.
By integrating PipeAId’s advanced AI-driven pipe inspection technology with Esri’s robust GIS platform, we provide utilities with a comprehensive solution for managing and analyzing sewer infrastructure. This collaboration enables clients to efficiently process CCTV inspection videos, accurately map defects, and prioritize maintenance activities, leading to enhanced operational efficiency and cost savings.
PipeAId was developed within Burgess & Niple (B&N), one of the nation’s leading engineering firms with over 100 years of expertise in infrastructure design and rehabilitation. This unique origin gives PipeAId access to B&N’s vast knowledge and technical insights, ensuring our solutions are rooted in real-world engineering challenges.
Through this partnership, our clients benefit from the synergy of cutting-edge AI technology and decades of engineering expertise. Together, we deliver more accurate, efficient, and innovative sewer inspection solutions, helping you make data-driven decisions that save time, reduce costs, and improve outcomes.
