Genomic infrastructure
We build quantitative genomic infrastructure so biotech companies can produce decision-grade results.
For biotech
Probabilistic systems and evidence frameworks that make genomic interpretation measurable and auditable.
For individuals
Genomic Vault for storing your DNA data. Built on the same infrastructure trusted by research institutions and hospitals.
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Scientific foundation
Built on peer-reviewed omics R&D.
Switzerland Omics develops quantitative systems for genomic interpretation across clinical research, epidemiology, precision medicine, and industrial biotechnology.
Our work is grounded in published methods, national cohort analysis, statistical genetics, and reproducible bioinformatic infrastructure, giving partners a measurable basis for evidence generation and decision-grade interpretation.
For customers, this means the infrastructure is not only software. It is a scientific framework designed to make genomic evidence auditable, reusable, and ready for regulated environments.
Technology pipelines
Quant
The missing element in genomic interpretation. Database, scan, and state-of-the-art algorithm.
QuantBayes
Gives genomics a shared evidence language. Every variant. Every pipeline. Every institution.
VCFheader
The fastest way to understand a VCF before reading a single variant.
PanelAppRex AI
The leading disease-gene database with sophisticated search, designed to simplify the discovery ...
Qualifying variant database
The open standard for variant interpretation, with trusted QV sets to enhance clarity and reprod...
Genomic vault
Sequencing produces genome data. Genomic Vault provides custody.
First-principles infrastructure
Built from first principles. Delivered as infrastructure.
Switzerland Omics builds genomic systems from first principles, not from inherited assumptions about what interpretation tools are allowed to be.
We combine Bayesian reasoning, statistical multi-omics, curated evidence, normative standards, and product engineering to make complex biological uncertainty usable in real workflows.
The result is infrastructure that feels simple because the difficult work has already been resolved: the model, the data, the interface, the report, and the operating logic fit together.
No destructive simplification.
Genomic evidence is complex. We make it usable without stripping away the assumptions, uncertainty, and context that determine whether a result can be trusted.
Methods become operational infrastructure.
We build the standards, databases, algorithms, interfaces, reports, and workflows together, so customers receive systems that can integrate, scale, and be used.
Conclusions keep their evidence.
Bayesian and first-principles models preserve the link between evidence and output, allowing results to be reviewed, reused, and compared across real-world settings.
Infrastructure maturity pipeline
Systems advance from prototype to deployed infrastructure through staged technical validation and institutional adoption, supporting use across research, clinical programmes, and clinical trials.
