Technology
Zeravion combines passive optical urine sensing, longitudinal data modelling and biomarker intelligence to detect the patterns that isolated testing may miss.
The intelligence layer
Passive optical capture of urinary biomarkers at the point of life.
An individual baseline forms as readings accumulate over time.
Deviations from a participant's own pattern become visible.
Models relate trajectories to risk and biological change.
Sensing & capture
The current platform reads ten established urinary parameters during routine toilet visits, with wireless transfer to a longitudinal data store. No sample handling, no shipping, no waiting — and expandable to additional biomarkers as research needs evolve.
Current panel
How it works
A low-cost optical reader captures established urinary biomarkers during routine toilet visits — no cups, no manual collection, no change to a participant's day.
Measurement happens in the background, so data density depends on biology and behaviour, not on scheduled visits or compliance.
A single measurement describes one moment. Repeated measurements across a study period provide context: what is stable, what is drifting and what deviates from a participant's own pattern.
Zeravion is designed around repeated collection, so each new result is interpreted in relation to the ones before it — not as an isolated value.
People differ. Two participants can sit within the same population reference range while having very different personal norms.
Our models are designed to establish an individual baseline over time, so meaningful change is assessed relative to that participant rather than to a population average alone.
Biomarkers rarely move in isolation. Relationships between several measurements may reveal more than analysing each value separately.
Zeravion is developing models that consider multiple biomarkers together, alongside study context such as timepoint, treatment and collection conditions.
Longitudinal analysis depends on consistency. Zeravion is building infrastructure to standardise measurements across participants, timepoints and study sites.
The intention is to produce structured, analysis-ready longitudinal datasets that research teams can work with directly — with provenance, quality control and context preserved.
Today's sensing is optical and toilet-integrated. As new capture technologies and surfaces emerge, the same longitudinal intelligence layer can learn from additional data sources.
The sensor can change; the intelligence gets smarter. Each new data source strengthens the models and expands what Zeravion can learn, detect and predict.
Models are developed with validation, data quality control and human oversight in mind. Intended use is stated transparently and limited to research applications today.
Privacy and data protection are treated as design requirements, not as an afterthought.
Longitudinal data is most useful where research already happens. Future integration possibilities include research systems, laboratory workflows, connected devices and APIs.
Integration scope is defined together with partners and is subject to validation.
Zeravion Horizon brings this technology into pharmaceutical research — a toilet-integrated platform generating high-frequency longitudinal biomarker data with minimal patient burden.
Zeravion's technology is under development. Descriptions on this page reflect intended design and are subject to validation and, where relevant, regulatory requirements.
