PipeAid
PipeAid transforms raw CCTV sewer inspection footage into precise, ArcGIS-ready digital twins coded to NASSCO standards. The platform combines AI-powered first-pass analysis with human QA/QC review by NASSCO-certified technicians, ensuring consistent, accurate system records regardless of camera type or video age. This eliminates manual review bottlenecks and creates a durable data asset that survives personnel turnover.
- Artificial Intelligence
- Data & Analytics
- Government Technology
- Logistics & Supply Chain
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Municipalities and utility contractors rely on manual review of CCTV sewer inspection footage, which is slow, labor-intensive, and prone to inconsistent coding. This creates bottlenecks in pipeline assessment, leads to inaccurate system records, and makes data unreliable when personnel change.
Solution
PipeAid provides a platform that converts CCTV inspection footage into precise, ArcGIS-ready digital twins of sewer systems. Users upload video from any contractor, camera, or software format, and PipeAid's AI performs the initial defect coding pass. NASSCO-certified technicians then review and verify every finding, ensuring accuracy and consistency. The final output is a clean, standardized dataset delivered directly into ArcGIS, which the customer fully owns. This approach eliminates the need for new hardware or software and accelerates the entire inspection-to-mapping workflow.
Target Audience
Primary customers are municipal sewer departments, utility companies, and pipeline inspection contractors who need to process large volumes of CCTV footage and maintain accurate GIS-based system records.
Features
- AI-powered first-pass defect coding that accelerates the review process
- Human QA/QC by NASSCO-certified technicians to ensure accuracy and consistency
- Accepts video from any contractor, camera, or software format, including older footage
- Outputs directly into ArcGIS as a clean, standardized digital twin
- Consistent coding methodology that prevents data degradation from personnel turnover
- No new hardware or software required for implementation