Gybe provides a water quality monitoring platform that integrates satellite imagery and ground sensor data to deliver near real-time analytics on parameters such as turbidity and chlorophyll-a across entire water bodies. This technology enables catchment management teams to efficiently track and assess the health of aquatic ecosystems, addressing the challenge of sparse and time-consuming water quality data collection.
Funding
$120K 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.
EROPPZFounders
Product
Problem
Traditional methods of water quality monitoring rely on sparse, localized data collection, which is both time-consuming and costly. This approach often leaves blind spots, hindering the ability to gain a comprehensive understanding of water quality dynamics across entire water bodies. The lack of continuous, broad-scale monitoring makes it difficult to proactively manage and protect aquatic ecosystems.
Solution
Gybe provides a water quality management platform that integrates data from satellite imagery and in-situ sensors to deliver near real-time analytics on key water quality parameters. The GybeMaps WebApp provides a basin-scale overview of water bodies, enabling users to track changes in parameters such as turbidity, chlorophyll-a, and cyanobacteria index. By combining satellite data with continuous data streams from Gybe's sensors, the platform offers a comprehensive and automated solution for monitoring and assessing the health of aquatic ecosystems. This allows for proactive identification of potential issues, optimized sampling strategies, and informed decision-making for water stewardship.
Target Audience
The primary target audience includes drinking water utilities, conservation organizations, and research organizations responsible for monitoring and managing water quality in surface water bodies.
Features
- Water quality data maps derived from multiple satellites, updated as soon as new images are available, with historical data available back to at least 2016
- Continuous data streams from the Gybe Sensor for parameters such as Cyanobacteria Index and CDOM Absorption
- Operational dashboard providing an at-a-glance view of current and historical water quality conditions
- Algal bloom predictions for the next 7 days, updated daily, using proprietary machine learning models
- Time series charts for any location within the water body, enabling comparison of parameter values over time
- API integration into SCADA systems for direct data feeds to operations and control systems
- Gybe Sensor providing continuous data streams for 5 water quality parameters with minimal maintenance requirements