The startup develops a water monitoring device that utilizes artificial intelligence and machine learning to detect anomalies in water distribution systems by monitoring pressure, acoustics, and temperature through fire hydrants. This technology enables utilities to identify leaks and extend asset life, ultimately reducing burst rates and improving the reliability of water networks.
Funding
$750K 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 distribution systems face challenges in detecting non-surfacing leaks and predicting potential failures in aging infrastructure, leading to non-revenue water loss, increased burst rates, and higher operational costs for utilities. Traditional methods often struggle to identify smaller leaks, and proactive asset management requires continuous, comprehensive monitoring.
Solution
Digital Water Solutions offers a holistic distribution system monitoring solution, hydrant.AI, that leverages AI and machine learning to provide real-time insights into water network performance. The system uses sensors installed in fire hydrants to monitor pressure, acoustics, and water temperature, detecting anomalies that indicate leaks, bursts, and other potential issues. By analyzing this data, the platform enables utilities to reduce non-revenue water, extend asset life, and minimize service interruptions. The AI-powered analytics provide early warnings of potential failures, allowing for proactive maintenance and strategic allocation of resources.
Target Audience
The primary target audience includes water utilities and municipalities responsible for managing water distribution networks, particularly those seeking to reduce non-revenue water, extend the life of aging infrastructure, and improve customer satisfaction.
Features
- Acoustic leak detection identifies non-surfacing leaks that traditional methods miss.
- Transient pressure monitoring detects events that can lead to pipe bursts.
- Real-time monitoring of pressure, acoustics, and water temperature provides a comprehensive view of system health.
- AI-powered anomaly detection identifies irregularities in time series data.
- Machine learning models predict potential failures and optimize maintenance schedules.
- Web-based dashboard provides visualizations of key performance indicators and alerts.
- Rapid deployment of machine learning models for anomaly detection and pattern recognition.