Furat
Furat provides an AIoT-based water quality monitoring system that delivers real-time bacterial contamination data using smart sensors and predictive analytics. The platform deploys IoT sensors that monitor water 24/7 and transmit data to the cloud, where a machine learning model predicts bacterial concentration using physical and chemical indicators, eliminating the multi-day wait for lab results.
- Internet of Things
- Artificial Intelligence
- Clean Technology
- Data & Analytics
- Hardware
- Software Only
- Utilities
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional water quality testing relies on laboratory analysis that can take days to produce results, leaving bacterial contamination undetected in the interim. This delay creates public health risks, regulatory compliance challenges, and operational inefficiencies for organizations managing water supplies, particularly in water-scarce regions where wastewater reuse and treated water are increasingly essential.
Solution
Furat provides an AIoT-based water quality monitoring system that delivers real-time bacterial contamination data using smart sensors and predictive analytics. The platform deploys IoT sensors that monitor water 24/7 and transmit data to the cloud, where a machine learning model predicts bacterial concentration using physical and chemical indicators. This approach eliminates the multi-day wait for lab results, giving organizations instant insights to act faster and more effectively. The system tracks both microbial risks and a wide range of chemical and physical indicators, providing a comprehensive picture of water quality for early detection, compliance, and informed decision-making. Deployment is quick and non-invasive, integrating sensors directly into existing infrastructure without disrupting operations.
Target Audience
Primary customers are organizations managing water resources, including municipalities, industrial facilities, and utilities that need real-time water quality monitoring for compliance, public health protection, and operational optimization.
Features
- IoT sensors continuously monitor water 24/7 and transmit real-time data to the cloud
- Machine learning model predicts bacterial concentration using physical and chemical indicators
- Tracks both microbial risks and a broad range of chemical and physical water quality parameters
- Non-invasive sensor deployment that integrates quickly into existing infrastructure
- Assessment phase to identify key water quality challenges and define monitoring goals
- Application interface for accessing water quality insights and alerts