We make the
genome readable
Geneops builds the genomic analysis software behind clinical and research labs, and the infrastructure powering consumer DNA products.
One engine, two directions
We operate on both sides of genetic data: software that helps labs analyze and interpret raw sequencing output, and the infrastructure that turns that analysis into products people use directly. The same interpretation core runs underneath both.
Lab analysis software
Pipelines and tooling that let clinical and research labs process sequencing data faster, with automated QC and fewer manual errors.
Interpretation engine
Our core models translate raw genomic markers into ancestry, trait, and wellness signals against a continuously updated reference set.
Consumer infrastructure
Kit logistics, reporting, and app backend - everything a direct-to-consumer genetic product needs to run end to end.
From sample to signal
Intake
Genotyping data arrives from lab and kit partners under strict chain-of-custody control.
Validation
Automated quality checks flag low-confidence reads before interpretation ever runs.
Interpretation
Markers are mapped to ancestry, trait, and wellness signals with versioned, auditable models.
Delivery
Structured reports for labs; a clear, readable experience for the person who took the test.
Built on the Geneops engine
Our first consumer product: ancestry and wellness DNA testing for the Turkish market, running end to end on Geneops interpretation and kit infrastructure.
What guides the work
Entrepreneurial
We move first on genetics-based approaches to healthcare, in Türkiye and the region.
Trustworthy
Every result carries a chain of accuracy we can stand behind - for labs and individuals alike.
Innovative
Our interpretation models sharpen continuously as reference data grows.
Scientific
We make sense of the genome with data, not guesswork, across every domain of health.
Transparent
How we handle genetic data is documented, auditable, and never buried in fine print.
Human-centered
Behind every data point is a person trying to understand themselves better.
Build the software behind genomics
A small team across bioinformatics, product, and lab operations. No layers between you and the genome.
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