AI-based Real-Time Water
Bio-Contamination Detection

DataPond delivers a cutting-edge water intelligence solution, providing continuous, real-time microbial contamination detection in surface water.

Our mission is to ensure cleaner and safer water by enabling affordable, scalable, and real-time contamination detection - improving public health and regulatory compliance.

DataPond’s current focus is on bio-contamination detection in surface water- rivers and lakes.

Surface Water

Next on our roadmap:

DataPond Relevant Industries - Water Suppliers & Regulators

Treated Water

Bio-Contamination Monitoring

DataPond Relevant Industries - Commercial Facilities in Developing Countries

Drinking Water

Bio-Contamination Monitoring

The Challenge of Surface Water Contamination

Climate change and overpopulation are increasing microbial contamination risks in surface waters - posing serious risks to public health, ecosystems, regulatory compliance, and the economic viability of recreational sites due to closures and liability costs.

Traditional monitoring methods fall short because they are:

Slow

Lab-based tests take 1–3 days to deliver results, delaying response time.

Expensive

High costs limit testing frequency and geographic coverage.

Labor-Intensive

Sampling and analysis require skilled personnel and extensive infrastructure.

As a result, water authorities are often forced to operate reactively, addressing contamination only after it has already impacted public health and the environment.

Currently, there is no cost-effective, real-time sensor for detecting biological contaminants in water.

Timely detection of contamination is crucial for effective treatment.

DataPond’s solution provides continuous oversight where traditional testing falls short, allowing authorities to maintain regulatory compliance and protect public health.

PathoWatch™ – Real-Time Microbial Risk Detection

Seamless Integration. Instant Protection.

DataPond’s PathoWatch™ is the first real-time, AI-powered system that transforms standard water quality data into instant microbial contamination alerts-

with no additional hardware required!

Today’s surface water monitoring relies heavily on slow, manual testing.

With PathoWatch™, water authorities can instantly detect microbial contamination using their existing sensors, dramatically improving water safety, regulatory compliance, and environmental protection.

Already measuring parameters like temperature, turbidity, conductivity, or dissolved oxygen? You’re ready.

PathoWatch In Situ™
connects directly to your existing water quality sensors — no need to collect samples, ship them to labs, or wait days for results.

PathoWatch Remote™
Designed for larger water bodies such as lakes, large rivers, and coastal areas. Using satellite imagery, the system produces heat-map style risk assessments, showing the spread and intensity of microbial contamination across wide areas where ground monitoring is not practical.

Real-Time Microbial Risk Detection:
Classify water contamination risk as Poor / Sufficient / Good.

Affordable & Scalable:
Utilizes low-cost standard sensors and/or satellite imagery

Prevention:
Detect emerging contamination before it becomes critical

Mitigation:

Pinpoint contamination sources & predict their spread

Our Technology

Following years of research at Tel-Aviv University,
DataPond developed a revolutionary data-driven proprietary solution:

PathoWatch In Situ:

Four physical parameters obtained from conventional low-cost sensors

PathoWatch Remote:

Uses satellite and remote-sensing data combined with AI models trained on DataPond’s extensive proprietary PathoWatch dataset

Machine Learning model trained on proprietary large water quality data sets

Actionable Insights:

Instant contamination detection
Water threats anticipation
GPT-powered mitigation solution

PathoWatch In Situ solution leverages data from existing, off-the-shelf water quality sensors:

Temperature

Electrical conductivity

Dissolved oxygen

Turbidity

Using advanced AI and ML models and unique datasets, DataPond processes this data in real-time to detect microbial contamination such as fecal coliforms and E. coli - without needing specialized hardware or complex infrastructure:

Real-Time Data Processing

Our AI models continuously analyze water quality data from standard sensors. The solution identifies patterns and accurately predicts microbial contamination in real time.

Unique Proprietary Data

DataPond’s AI is trained on high-quality large scale data set sourced from global monitoring networks and data produced through innovative methods at our state-of-the-art Water Laboratory — ensuring unmatched accuracy and reliability in contamination detection.