Problem: Water analysis is expensive, inefficient and takes time
Water is vital for life, but pollution threatens health, the environment, and the economy. Current water quality monitoring is slow, lab-based, and expensive, making water treatment a challenge. Multiple methods are needed to detect different pollutants, adding complexity and high costs. Traditional lab testing, or ex-situ analysis, takes hours to days to produce results from small samples. Additionally, many methods can only measure low levels of pollutants, making them less effective for highly polluted water.
Watergenics is completely dedicated to the field of water management, specifically the improvement of processes in the treatment of heavily contaminated wastewater or product water and the monitoring of wastewater. Their official vision is ‘becoming the water reporting platform of the planet’.
Solution: Watergenics Unveils AI-Powered Tech to Revolutionize Water Quality Monitoring, Saving Industry $65 Billion Annually
Watergenics revolutionizes water quality monitoring with its AI-based spectroscopic technology, detecting multiple pollutants in challenging industrial wastewater with continuous, real-time, on-site measurements. This innovative approach can save the industry $65 billion annually by optimizing treatment processes, increasing capacity by 35%, reducing energy consumption by 7%, and achieving an ROI of 7.2 x.
In particular, the following goals are achieved with the Watergenics technology:
Highly polluted water qualities naturally occur in industries that require water as part of the production process or where wastewater is produced as a by-product. In this respect, significant effects can be achieved particularly in the mining sector, desalination plants, the oil and gas industry and the paper industry.
- Preventing (or at least reducing the reaction time) contaminated wastewater from entering the natural environment
- Saving resources in wastewater treatment and process water by increasing the capacity of cleaning systems, reducing the energy costs and water volumes required for operation, reducing the use of chemicals in production and wastewater treatment.
About Watergenics
The company has been founded in 2019 and the team consists team consists of experts in Artificial Neural Networks, Molecular Physics, Operations, Laser Technology and Water Data Business Models. Operating on a SaaS model, Watergenics sells valuable water quality data rather than sensors. Notable clients include Veolia / Anglogold Ashanti, Anglo American, LMBV, RAG AG, SQM, and Barrick Gold.
Watergenics aims to create a market for water quality data and is raising €2 million to enhance industrial wastewater treatment in sectors such as mining, desalination, oil & gas, steel, pulp & paper, and semiconductors.