Aquosmic offers a global surface water quality monitoring platform that uses satellite imagery and AI to provide real-time data on key water quality parameters. This automated analysis reduces the delays and costs of traditional methods, enabling better decision-making for water resource management and pollution detection.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional methods for monitoring surface water quality are often slow, costly, and logistically challenging, leading to delayed insights and suboptimal resource management. This lack of timely and comprehensive data hinders effective decision-making for environmental protection and sustainable water resource utilization.
Solution
Aquosmic provides a global surface water quality monitoring platform that leverages satellite imagery and artificial intelligence for automated analysis and continuous evaluation. Our system delivers real-time data on key water quality parameters, significantly reducing the response times and logistical complexities associated with traditional sampling methods. This enables stakeholders to make informed decisions regarding water resource management, pollution detection, and environmental impact assessment. By offering accessible and reliable information, Aquosmic supports the achievement of sustainable development goals related to water quality and conservation.
Target Audience
Our primary customers include environmental agencies, water management authorities, ecological researchers, and industries that rely on accurate and timely surface water quality data for compliance, operational efficiency, and sustainability initiatives.
Features
- Satellite imagery processing pipeline for global surface water quality assessment.
- AI-driven analysis to identify and quantify key water quality parameters including surface temperature, turbidity, dissolved oxygen, chlorophyll-a, total nitrogen, and total phosphorus.
- Automated detection of pollution sources and discharge plumes.
- Continuous monitoring and evaluation of water bodies to track changes over time.
- Geospatial data visualization tools for intuitive understanding of water quality distribution.
- API access for integration with existing environmental monitoring systems and databases.
- Customizable alerts for critical water quality events.
- Historical data archiving for trend analysis and long-term impact studies.