01
Intake
Genotyping data arrives from lab and kit partners under strict chain-of-custody control. Every sample is pseudonymized on arrival and tracked through every downstream step.
Technology
From sample to signal
A controlled, traceable pipeline that turns raw genotyping data into validated genomic interpretation - ready for laboratory workflows and clear consumer experiences.
The pipeline
Four stages. One continuous record.
02
Validation
Automated quality checks measure call rate, marker coverage, and consistency. Low-confidence reads are flagged and quarantined before interpretation ever runs.
03
Interpretation
Markers are mapped to ancestry, trait, and wellness signals by versioned models running against a continuously updated reference set. Every output can be traced to the model version that produced it.
04
Delivery
Labs receive structured, machine-readable reports. Consumers get a clear, readable experience in their product's app - the same result, two audiences.
Interpretation core
Models that can explain themselves
Genomic interpretation changes as evidence and reference data improve. Geneops preserves the model, reference set, and quality context behind every result so updates remain understandable and reproducible.
Engineering principles
Trust is part of the architecture
Versioned, always
Models, reference sets, and pipelines carry explicit versions. Rerun any sample from any point in time and get the same answer - or a documented reason why it changed.
QC before interpretation
No signal leaves the pipeline unless the data behind it passes defined quality thresholds. Exceptions are surfaced, never silently smoothed over.
Auditable by design
Inputs, transformations, model versions, and outputs stay connected. Teams can inspect how a result was produced without reconstructing the process by hand.
Privacy at every layer
Identities are separated from genomic data, access is role-based, and sensitive operations are logged throughout the data lifecycle.
Put the pipeline to work
Tell us about your data source, workflow, and output requirements. We'll map where the Geneops stack can help.