DataPond

AI-based Real-Time Water Bio-Contamination Detection

Industrial Technologies
Private

Company Overview

Snapshot

Founded in May 2022 by Meir Morgenstern, Asaf Pras, and Hadas Mamane, DataPond operates with 1–10 employees. The company has raised $1.3 million across one funding round from two investors. In November 2023, DataPond secured pre-seed funding from NetZero Tech Ventures and Israel Innovation Authority.

Business overview

DataPond develops PathWatch, an AI-powered monitoring system designed for continuous detection of microbial contamination in surface water bodies like rivers and lakes. The system utilizes data from common, low-cost sensors, including turbidity, conductivity, dissolved oxygen, and temperature, to identify indicators such as E. coli and fecal coliforms. By processing incoming sensor streams with proprietary machine learning models, the platform classifies contamination risk and provides immediate alerts via a secure cloud-based interface. This technology eliminates the need for manual sampling and lab analysis, offering water authorities a scalable solution for regulatory compliance and public health protection within the Industrial Technologies sector, specifically focusing on Sustainable Water Solutions and Water Utilities.

Company Intelligence Q&A

What is DataPond's primary focus?
DataPond specializes in developing AI-powered monitoring systems for real-time detection of microbial contamination in surface water, addressing challenges in water quality and public health.
When was DataPond founded and by whom?
DataPond was founded in May 2022 by Meir Morgenstern, Asaf Pras, and Hadas Mamane.
What is the PathWatch system?
PathWatch is DataPond's AI-powered monitoring system that uses data from low-cost sensors to detect indicators of microbial contamination, such as E. coli, in surface water and provides immediate alerts.
Which investors participated in DataPond's funding round?
In November 2023, DataPond received pre-seed funding from NetZero Tech Ventures and Israel Innovation Authority.
What problem does DataPond aim to solve?
DataPond aims to replace slow and costly traditional water testing methods with real-time, in-situ monitoring to enable timely detection and treatment of biological contamination, which is critical for public health and regulatory compliance.