Bridging the Microbial Data Gap
Thousands of US monitoring sites and beaches could benefit from predictive contamination monitoring. Explore the opportunity by category.
The Market Story
Microbial lab testing is expensive and slow — typically $30-80 per sample with 24-48 hour turnaround. Many sites simply can't afford routine testing.
PathoWatch's ML models can deliver microbial contamination predictions at near-zero marginal cost using data these sites already collect.
Who Are These Sites?
State environmental agencies, water utilities, watershed associations, USGS gauges, and academic monitoring networks — all collecting data continuously.
Most face budget pressure for lab work but want to monitor public health risk. Predictive microbiology bridges that gap.
Want to Discuss the Opportunity?
We're actively talking with utilities, regulators, and water-quality programs interested in extending microbial coverage at scale.