Furat
Furat.tech provides an AIoT-powered water quality monitoring system that delivers real-time bacterial contamination data using smart sensors and predictive analytics. The platform combines IoT sensors with machine learning to predict bacterial concentration from physical and chemical indicators, replacing traditional lab tests that take days with instant insights. This enables early detection, better compliance, and more informed decision-making for organizations managing water resources.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Hardware
- Internet of Things
- Software Only
- Utilities
Funding
Founders
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.tech 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.
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 quality 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