Synthetic UK primary-care data you can defend.
Rhysora generates realistic, fully-synthetic patient records for research, testing, and methodology development. No real patient data is used at any stage, so there is nothing to anonymise and no Data Sharing Agreement to sign. Values trace to published sources; values we cannot source are flagged as estimates. Every dataset is reproducible by anyone with the same settings.
Synthetic data often can't be defended.
Unsourced values
When a reviewer asks where a figure came from, the honest answer is often "the model made it up."
Non-reproducible
Most tools can't regenerate the same dataset twice. Research built on them isn't independently verifiable.
No external audit
Quality claims without adversarial review are marketing. Without continuous scrutiny, errors accumulate silently.
Built for scrutiny.
Values traceable to sources
Clinical thresholds, drug doses, prescribing patterns, mortality rates. Values trace to published sources; values we cannot source are flagged as estimates.
Fully reproducible
Run Rhysora twice with the same settings and get the exact same dataset. Every run, every computer. Your work is verifiable by anyone.
Routinely audited
Outputs are reviewed against published pharmacoepidemiology standards. Findings are logged, triaged, and resolved in versioned releases.
Practice Extract
Realistic synthetic patient cohorts in the standard UK primary-care research format. Any size, any location, any reference date. Reproducible by seed.
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