Evidence-based data only
Models learn only from real, documented human samples: origin, consent and licence on record. No synthetic data.
For medical laboratories
You draw the sample and run the assay. Tafahi analyses the methylation signal of circulating tumour DNA and returns, for each sample, the verdict of several independent models and their consensus.
A result is only useful if it can be checked. Tafahi is built on three rules.
Models learn only from real, documented human samples: origin, consent and licence on record. No synthetic data.
Independent model families analyse every sample. A signal is reported only when they converge; otherwise the result is declared inconclusive.
Every result traces back to the model, its training data and their original source, with versions and checksums.
The methylation files produced by your platform, through the web console or the API.
Quality control, harmonisation, a vote from each model and a calibrated consensus, with control samples in every batch.
Signal, likely tissue of origin, calibrated probability and full trace, ready to include in your own report.
You keep the relationship with the physician and the patient, and you set your price. Tafahi provides only the signal analysis, billed per sample.
Researchers and laboratories can join the programme. You share documented samples with their clinical follow-up; we analyse patients from your cohorts free of charge.