Historic Inspection Backlog Processing

Unlock value from years of unused inspection footage.

Woman with files of pipe inspection data
5,000+
Inspection projects supported
40,000+
Investment decisions informed
700,000+
Pipe defects identified
Benefits

How Vapar AI makes inspections faster and more efficient

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Process legacy inspections at scale

Rapidly analyze archived CCTV footage without commissioning new surveys.

Standardize historic data to current standards

Convert older inspections into consistent, asset-centric outputs for reuse in planning.

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GIS map showing a pipe network
Recover hidden network insight

Reveal condition trends and risk exposure across assets that were previously difficult to analyze.

Integrations

Vapar AI works with your software

Vapar AI integrates seamlessly with software you’re already using.

FAQs

How does Vapar AI help make historic inspection footage usable for asset strategy?

Vapar AI processes archived CCTV footage and converts it into standardized, asset-level outputs. This transforms historic inspections from isolated video files into structured condition data that can be incorporated directly into asset strategy and renewal planning.

What happens if historic inspections were coded under older or inconsistent standards?

Vapar AI can apply supported regional coding standards to historic footage, allowing older inspections to be reassessed and aligned with current frameworks. This enables more consistent, comparable datasets across time periods.

How does Vapar AI help eliminate blind spots in the network?

By processing backlog footage at scale, Vapar AI reveals condition insights in areas of the network that were previously difficult to analyze or compare. This reduces the risk of unseen defects influencing budget decisions.

How does Vapar AI improve comparability across historic and current data?

Vapar AI applies consistent assessment logic across inspections, regardless of when they were captured. This reduces variability and allows asset engineers to compare like with like across assets, years, and inspection programs.

How does backlog processing support better capital allocation?

When historic footage is standardized and structured at the asset level, it can be incorporated into risk models and renewal forecasts. This improves visibility of true network condition and supports more effective budget allocation.

Does processing historic footage require new inspections?

No. Vapar AI works with existing inspection videos, allowing organizations to unlock additional value from prior programs without incurring new field costs.

Testimonials

Trusted by councils & engineering teams around the world

“VAPAR has helped us understand the complexity of using AI for CCTV review, and we are now better positioned to start implementing this technology to improve data quality and asset management processes.”
Jack Cunnington
Asset Management Engineer
“As this is a true digital solution we were able to complete the first trial despite the current pandemic through true global collaboration. We have had some extremely promising results from the initial work and look forward with the potential expand the trials.”
Anglian Water
Asset Manager
“VAPAR provides accurate and effective condition rating to council’s stormwater CCTV video, allowing for significant cost and time savings.”
Daniel Carniero
Senior Coordinator Asset Integration
“We’ve discovered so many improvements and efficiencies using VAPAR as opposed to keeping the status quo. We are really setting ourselves up for success well into the future.”
Craig Connolly
Support Engineer
"The work Trility carried out for CCTV inspection assessments / analysis would usually take months to complete. With the implementation of Vapar, the same task took just weeks.”
Joao Placido
Asset Manager
United Utilities is always on the lookout for ways we can provide world-class services to our customers. We are interested in partnering with companies like Vapar, who stand out because of their agility, technical skill and willingness to work collaboratively.
Kieran Brocklebank
Innovation Manager

Target investment to the highest risk assets in your pipe network