Our vision is for a world where every community has access to sustainable sources of safe drinking water.
At NAIADA, we are building the world’s most advanced drinking-water management system, enabling stakeholders worldwide to optimize water management and ensure reliable access to clean water. Our AI-based platform offers an affordable and accessible solution for operators of all sizes. Utilizing a combination of sensor, satellite, and climate data, our algorithms help pipe-network owners identify and repair undetected leaks, drastically saving time and cost, effectively and efficiently.
Our AI-based solution leverages satellite imagery and advanced machine learning to detect water leaks in distribution networks with high accuracy. This cost-effective technology conserves water, reduces energy and CO2 emissions, and is scalable across different regions. It is a vital innovation for promoting water resource sustainability and building resilience against climate challenges.
Drawing on our extensive experience in both water management and artificial intelligence, we offer comprehensive AI solutions tailored to the water sector. Our services include project management from initial concept through proof of concept (POC) to full deployment. We support internal data science teams or handle the entire implementation process ourselves. Our AI solutions are designed to analyze, aggregate, and process data effectively, providing tools that are adapted to meet the specific needs of water utilities and resource management operators.
Founder of a company using satellite images to detect water leaks
Broad experience in leading IT projects in the water sector
BA in Business Administration and M.Sc. in Financial Management
Expert knowledge in Machine Learning, Data Science and statistics
Many years of experience working as consultant and in leading Data Science roles
M.Sc. in Mathematics with focus on optimization algorithms
Broad working experience as an AI specialist leading Machine Learning projects in Germany
Extensive working experience as IT consultant at leading DAX companies
PhD in Theoretical Physics
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