Saafwater is an AI-IoT platform that provides real-time analysis of physical, chemical, and biological water contamination using a single device adaptable to various environments, including pipes, tanks, and natural bodies of water. The technology reduces operational and maintenance costs through longer sensor life and AI-powered auto soft-calibration, addressing the critical issue of water quality monitoring worldwide.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods for water quality monitoring often require multiple sensors to detect physical, chemical, and biological contaminants, leading to increased complexity and maintenance costs. Traditional monitoring systems may also lack adaptability to different environments, such as pipes, tanks, and natural bodies of water.
Solution
Saafwater offers an AI-IoT platform designed for real-time analysis of water contamination. The system utilizes a single device adaptable to various environments, including pipes, tanks, and natural bodies of water, to detect physical, chemical, and biological contaminants. The technology reduces operational and maintenance costs through longer sensor life and AI-powered auto soft-calibration. This approach provides a universal solution for diverse water quality monitoring needs.
Target Audience
The primary target audience includes organizations and municipalities responsible for water quality monitoring, environmental agencies, and industries requiring real-time contamination detection.
Features
- Real-time analysis of physical, chemical, and biological water contamination.
- Single device adaptable to various environments (pipes, tanks, lakes, rivers).
- AI-powered auto soft-calibration for extended sensor life.
- Proprietary switching hardware to enhance sensor longevity.