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Your Genome.Sequenced, annotated, and ready to explore.
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Every kit ships with a fully annotated .genome bundle and (for a limited time) complimentary access to Genome Intelligence: the latest genetic research and guided prompts to help you understand what every new discovery means for you.
Ask us anything.Text +1 (415) 230 9039.Whole genome, 30x
$699Most popularClinical-grade depth. ~4-5 million high-confidence variants per genome, including rare SNVs, indels, and novel variants. The complete foundation for lifelong genome exploration. 2-3 week turnaround.
- Complimentary access to Genome Intelligence (for a limited time)
Whole genome, 100x
$1,499Research GradeUltra-high depth sequencing. Enhanced sensitivity for low-frequency variants, somatic mosaicism, and structural variant detection. Designed for deep research and advanced genomic investigations. Turnaround time on request.
- Complimentary access to Genome Intelligence (for a limited time)
Already have a DNA file? Convert it to .genome.
$99Upload your VCF or TXT file from any sequencing provider and we'll return a fully-annotated .genome bundle ready for you to explore. Imputed where needed, VEP-annotated, PharmCAT-called, PGS-scored.
.genome files use 3–10× fewer tokens and are 10–20× more accurate when interpreted by AI.
Your DNA stays private and remains in your full control.
We're a Public Benefit Corporation legally bound to never sell or license your individual genetic data. It's your data and always will be.
FAQ
What do I get?
What reference build do you use?
What is a .genome file?
.genome is an open file format for genome data, designed to be read and interpreted by AI systems. It uses the same underlying data as a VCF, but restructures it so models can process it reliably, with clear provenance and without relying on partial parsing or guesswork.
Under the hood it's not one flat file but a structured, queryable bundle (format version .genome/1.0). Your variants are stored in fast columnar tables alongside the annotations that give them meaning — trait associations, the supporting research behind them, gene-level context, polygenic scores, and pharmacogenomics — so a tool can answer questions against your whole genome directly.
A whole-genome sequence fills it out completely (~4.3M variants); uploads from array-based tests like 23andMe or Ancestry come in smaller (~600k). Either way, it's a single portable file that travels with you.
Compared to raw VCF files, .genome reduces token usage by 3–10× while reducing factual errors by 10–20×.
What can I do with it?
A .genome file is a portable, AI-readable container for your genetic data. The point is that it travels with you and works inside any tool that can read a file, so you're not locked into one platform's interface.
Concretely, you can:
- Drop it into an AI coding/agent tool — Codex, Claude Code, Cursor, or anything that can ingest a file — and treat your genome as queryable context. The file format (.genome/1.0) is structured so the model can parse variants, archetype data, and phenotype context directly.
- Ask open-ended questions — "What does my genotype suggest about caffeine metabolism?", "Which of my variants relate to sleep?", "How should I read my stress-recovery axis?" — and get answers grounded in your actual data rather than generic advice.
- Test hypotheses — pull in a paper or a new GWAS finding and ask the tool to check it against your specific genotypes, so you can see whether a result actually applies to you.
- Stay current — re-run analysis as new research lands (ClinVar/PharmGKB updates, new associations) without re-sequencing. The same file gets re-interpreted against newer knowledge.