Conservation Labs offers H2know, a smart water monitoring system that utilizes patented acoustic technology and machine learning to provide real-time water flow estimates, leak alerts, and consumption insights. This solution helps homeowners and businesses prevent costly water damage and reduce excessive water usage, ultimately saving money and conserving resources.
Funding
$12.9M 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.
IW+2Founders
Product
Problem
Water leaks and inefficient water usage in residential and commercial properties lead to significant financial losses and resource waste. Traditional methods of water monitoring often lack the granularity and real-time insights needed to promptly detect and address these issues. This results in delayed responses to leaks, increased water bills, and potential property damage.
Solution
Conservation Labs offers H2know, a smart water monitoring system that leverages patented acoustic technology and machine learning to provide real-time water flow estimates, leak alerts, and consumption insights. The H2know sensor attaches to existing water lines without requiring pipe cutting and connects to WiFi to transmit data to a user-friendly application. By analyzing the unique sound signatures created by water flow, H2know accurately identifies water usage patterns, detects anomalies indicative of leaks, and delivers timely notifications via email or text. This enables property owners and managers to proactively manage water consumption, prevent costly water damage, and conserve resources.
Target Audience
The primary target audience includes homeowners, property managers, real estate companies, and restaurant operators seeking to reduce water consumption, prevent water damage, and optimize water conservation efforts.
Features
- Non-invasive installation: Attaches to water lines without requiring pipe cutting or specialized tools.
- Patented acoustic technology: Analyzes sound signatures to accurately estimate water flow and detect leaks.
- Real-time monitoring: Provides continuous water usage data and immediate alerts for catastrophic leak events.
- Machine learning algorithms: Classifies leak events by type, fixture, and amount of water used.
- Customizable alerts: Configurable notifications for leak events and sensor disconnections.
- User-friendly mobile app: Displays water usage trends, leak reports, and benchmarking data.
- Integration with third-party shut-off devices: Enables automated water shut-off in response to detected leaks.
- Reporting and analytics: Provides detailed reports on water usage by date, time, and fixture category.