Overview
Our platform reads the full microbial and resistance gene content of community wastewater. Where targeted surveillance methods only find what they’re already looking for, our approach goes further — surfacing known AMR markers, emerging variants, and novel resistance signals from the same sample.
The output: actionable early-warning intelligence, designed for the agencies that act on it.
End-to-end approach
Sample
Routine wastewater collection
Sequence
Metagenomic sequencing
Signal
Bioinformatic resistance intelligence
River water sample
Effluent sample
Platform Capabilities
What the platform does — and where we are in building it.
01
What It Detects
The full antimicrobial resistance gene landscape circulating in a community — known markers, emerging variants, and previously uncatalogued signals. Because metagenomics reads the full sample, the data already contains tomorrow's threats; we just have to learn to read them.
02
How It Works
From sample to signal. Community wastewater moves through a standardized computational process that turns raw sequence into resistance trend signals. (We keep the detailed method confidential ahead of publication.)
03
Where We Are
Currently in prototype, validating against published clinical AMR datasets. The validation work is the prerequisite for everything that follows — no field claims, no pilot deployments, no public dashboards until the bioinformatic engine has earned them in the data.
Next
How do we know it works?