AI-powered pipeline management software
AI-powered pipeline management that helps councils and utilities control expenditure in the highest risk assets in their pipe network.

Software that turns complex problems into efficient outcomes

Vapar AI analyzes CCTV inspections in minutes, not weeks, automatically detecting defects and structuring results for review. Teams can process large volumes of footage quickly, reduce manual coding effort, and move from inspection to decision without bottlenecks.
Vapar AI converts inspection results into clear repair recommendations and risk-based priorities. By combining condition data with your likelihood and consequence of failure frameworks, the platform helps target maintenance and capital where it delivers the greatest impact.


Vapar AI structures inspection results around each pipe asset, not individual CCTV inspection files. Clean, standardized outputs integrate with GIS and asset management systems, reducing manual data handling and ensuring inspection insights flow directly into planning and decision workflows.
Significant time savings in 3 simple steps

Vapar AI works with your software
Vapar AI integrates seamlessly with software you’re already using.
FAQs
Vapar AI is designed for organizations that own and manage gravity pipe networks, including municipalities, cities, and utilities.
It supports teams across field operations, maintenance, asset management, and capital planning who need faster, more consistent insight to make confident, defensible decisions about where to target ratepayer funds across their highest-risk pipe assets.
Processing time generally matches the length of the video. For example, a five-minute inspection typically takes about five minutes to process. Processing time can vary based on file size and system demand, but most teams upload footage at the end of the day and have Vapar AI results ready for review the following day.
VAPAR performs QA/QC on Vapar AI–generated results to ensure customers receive high-quality, consistent outputs. Engineers can then review and validate results in seconds before they’re used for reporting or decision-making. This approach delivers reliability at scale while keeping engineering judgment and accountability front and center.
Vapar AI analyzes internal CCTV inspection footage for most sanitary sewer and stormwater pipes, typically up to approximately 48 inches (1200 mm) in diameter. The AI is designed to handle real-world inspection conditions, including flowing water and camera movement.
Only the video file is required. Vapar AI extracts the information needed for defect identification and condition assessment directly from the footage, eliminating the need to upload additional databases, PDFs, or reports.
VAPAR securely stores inspection videos and related data on Microsoft Azure, using enterprise-grade security controls. Data is encrypted and managed within this cloud environment to support secure storage, access, and retrieval.
Yes. Vapar AI is built on an asset-centric data model, meaning inspection results are organized around each pipe asset rather than individual inspection files. This makes it much easier to move high-quality condition and defect data into GIS, asset management, and planning systems.
By structuring data this way, Vapar AI streamlines data sharing and reduces manual cleanup, helping teams get more value from inspection data while continuing to use the systems they already rely on.


