Consultants & Engineering Firms
Accelerate analysis and reporting across multiple projects and clients
How Vapar AI makes your team faster and more efficient
Vapar AI automates defect detection and pre-structures inspection data, allowing engineers to spend less time reviewing footage and more time analysing results and delivering recommendations.
By applying the same assessment logic across all inspections, Vapar AI removes variability between datasets, helping consulting teams produce repeatable, standardised reports regardless of who captured the footage.
Built-in QA/QC workflows allow engineers to review, validate, and stand behind results before they’re issued, reducing rework, challenges, and liability across projects.
Vapar AI works with your software
Vapar AI integrates seamlessly with software you’re already using.
FAQs
Vapar AI removes the need for crews to manually code defects during inspections. Crews can focus entirely on capturing good-quality footage, leading to 30–40% more inspection footage captured per day using the same crews and equipment.Vapar AI automates defect detection and structures inspection data before engineers begin their analysis. This significantly reduces manual footage review and reporting time, allowing teams to derive insights, complete analysis, and issue reports faster across multiple projects and clients.
Vapar AI applies consistent assessment logic across all inspections, regardless of who captured the footage. Because the system applies coding standards uniformly, it removes variability between datasets and ensures reports are standardized, repeatable, and comparable across projects and clients.
Vapar AI includes built-in QA and QC workflows that allow engineers to review and validate results before issuing reports. The process is transparent, with clear visibility into how results were generated. Vapar AI is a decision support tool that strengthens engineering judgment rather than replacing it, helping firms stand behind their recommendations with confidence.
Yes. Vapar AI supports parallel processing across multiple projects and clients within a unified account structure. This allows consulting teams to scale inspection analysis without increasing manual review effort proportionally and simplifies delivery across diverse client portfolios.
Vapar AI produces structured outputs that can be exported in common formats or integrated directly into asset management, GIS, and reporting systems. Exports are customizable, allowing firms to maintain their established reporting standards while accelerating the analysis process.
Firms typically experience improved efficiency, faster report turnaround times, and reduced rework. These gains can increase project capacity, improve margins, and enhance client satisfaction without requiring additional headcount.
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.”
“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.”
“VAPAR provides accurate and effective condition rating to council’s stormwater CCTV video, allowing for significant cost and time savings.”
“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.”
"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.”
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.