DataPond develops an AI powered monitoring system, PathWatch, that enables continuous detection of microbial contamination in surface water such as rivers and lakes. The system analyzes data from common, low cost sensors including turbidity, conductivity, dissolved oxygen, and temperature to detect indicators like E. coli and fecal coliforms.
Using proprietary machine learning models, the platform processes incoming sensor streams to classify contamination risk and provide immediate alerts through a secure cloud based interface. This eliminates the need for manual sampling, lab analysis, or additional hardware installations. By replacing slow and costly testing methods with real time monitoring, DataPond offers water authorities a scalable way to maintain regulatory compliance and protect public health.