VAPAR develops AI-powered software for pipe asset management, enabling councils and utilities to prioritize maintenance and budget allocation based on the risk assessment of pipeline conditions. The platform streamlines inspection processes and optimizes expenditure, helping organizations maintain the integrity of their pipe networks and reduce the likelihood of failures.
Funding
Funding not disclosed


IHFounders
Product
Problem
Aging and deteriorating pipe infrastructure poses significant challenges for councils and utilities, leading to potential failures, costly repairs, and service disruptions. Traditional inspection methods are often time-consuming, labor-intensive, and may not provide a comprehensive risk assessment of pipeline conditions. This makes it difficult to prioritize maintenance and allocate budgets effectively.
Solution
VAPAR offers an AI-powered software platform designed to streamline pipe asset management and optimize investment planning. The platform analyzes inspection data, such as CCTV footage, to automatically identify defects, assess the condition of pipes, and predict potential failures. By providing a risk-based assessment of pipeline conditions, VAPAR enables councils and utilities to prioritize maintenance efforts, allocate budgets strategically, and reduce the likelihood of costly failures. The software helps organizations maintain the integrity of their pipe networks, improve inspection processes, and optimize expenditure.
Target Audience
VAPAR's primary customers are councils, cities, and water utilities responsible for managing and maintaining pipe infrastructure, as well as CCTV contractors involved in pipeline inspections.
Features
- AI-powered defect detection and condition assessment from CCTV footage
- Risk-based prioritization of maintenance and repair activities
- Automated reporting and analytics for informed decision-making
- Cloud-based platform for easy access and collaboration
- Integration with existing asset management systems
- Customizable dashboards for visualizing key performance indicators