This company provides AI-powered software utilizing digital twins for advanced water leak detection and localization in utility systems. Their solution offers real-time alerts, precise pinpointing of anomalies, and meter error detection to reduce non-revenue water and operational costs. The platform maximizes existing infrastructure use, delivering scalable, data-driven insights for water conservation and accurate billing.
Funding
$280K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Water utilities face significant challenges in detecting and locating leaks in their distribution networks, leading to substantial water loss, increased operational costs, and potential damage to infrastructure. Traditional leak detection methods often require costly sensor deployments, extensive manual inspections, and disruptive excavation work.
Solution
EFAS Technologies offers the Global AI Leak Locator (GAILL), a software solution that leverages physics-based digital twins and artificial intelligence to detect and precisely locate leaks in water distribution systems. GAILL analyzes existing data from pipe maps, pressure/flow measuring points, and time-series data to identify anomalies indicative of leaks or blockages. By eliminating the need for additional sensors or extensive field surveys, GAILL enables utilities to proactively address leaks, minimize non-revenue water, and optimize resource allocation for repairs. The software can be deployed as a cloud-based service or on-premises, providing flexibility and immediate access to real-time leak detection insights.
Target Audience
The primary target audience includes water utilities and municipalities seeking to reduce non-revenue water, improve operational efficiency, and minimize the costs associated with leak detection and repair.
Features
- Physics-based digital twins simulate water flow and pressure dynamics within the distribution network.
- AI-powered anomaly detection identifies deviations from expected behavior, pinpointing potential leak locations.
- Data-driven approach eliminates the need for additional sensors or hardware investments.
- Pipeline anomaly detection pinpoints the impacted pipeline between two adjacent junctions/nodes.
- Cloud-based or on-premises deployment options for flexible integration with existing IT infrastructure.
- Real-time alerts notify operators of detected leaks or anomalies for prompt response.
- SaaS billing model with no long-term contracts.