Agent-native genomics
Grounded in published research. AI agents analyze each variant, cross-reference gene interactions, and translate them into precise recommendations — personalized to your genotype.
$199 one-time fee — early bird pricingWorks with raw data from
Any service that exports standard raw genotype data
Two genes work together to determine your actual caffeine response — one controls how fast you clear it, the other how strongly your brain reacts. The combination explains why the same cup hits people so differently.
The supplement aisle sells one form of folate, but a common gene variant means some people convert almost none of it. A simple switch to the right form can change everything for energy, mood, and focus.
Your muscle fiber composition and fat oxidation profile are shaped by two genes that work in combination. Knowing which way they lean can help you train smarter — not just harder.
Upload your DNA data and get our library of recommendations filtered by your genotypes.
$199 once — yours forever. Early bird pricing. No subscription.
We’ve distilled thousands of peer-reviewed papers into actionable recommendations for variants and gene interactions.
No specific gene interaction for this genotype combination.
No specific gene interaction for this genotype combination.
Take ubiquinol CoQ10 200 mg daily and prioritize zone-2 exercise for compound NRF1→TFAM mitochondrial biogenesis deficit Moderate
NRF1 rs6949152 GG reduces the aerobic training response (less NRF1 transcriptional output driving mitochondrial biogenesis), while TFAM rs1937 GG is depleted in centenarians and associated with higher Alzheimer's risk — TFAM sits directly downstream of NRF1 in the PGC-1α→NRF1→TFAM cascade, so both the upstream transcriptional driver and the downstream mitochondrial DNA maintenance executor are simultaneously suboptimal.
No specific gene interaction for this genotype combination.
No specific gene interaction for this genotype combination.
No specific gene interaction for this genotype combination.
No specific gene interaction for this genotype combination.
No specific gene interaction for this genotype combination.
No specific gene interaction for this genotype combination.
TFAM
NRF1
The core analysis is deterministic — no AI involved. Your data gets matched against a structured knowledge base and that’s your result. These agents are opt-in layers on top, for when you want to go deeper.
The dashboard gives you starting points. The MCP server lets you pull the thread — with your own AI, on your own machine.
Hand your agent a blood panel, a prescription, a research paper. It reads them alongside your genetic profile and connects the dots — “your ferritin is low, and here’s why your genotype makes that harder to fix.”
Not a chatbot you start over each time. Keep notes, save findings, come back weeks later and pick up where you left off. Your understanding compounds.
You choose which AI sees your data. Pair the MCP server with a local model and your genetic information never touches the internet.
Ask anything about your results in plain language. The agent sees your full genotype profile, all your action items, gene interactions, and the research articles behind every recommendation.
Uses Claude by Anthropic. Your genetic results and health data are sent to Anthropic’s API for processing. See Anthropic’s privacy policy. For full control over which model processes your data, use the MCP server instead.
Try the agentSecurely connect your own AI agent to your health data and our knowledge base via MCP tools (Model Context Protocol) — the open standard for connecting AI agents to external data. Use Claude Code, ChatGPT, Cursor, your own custom agent, or any MCP-compatible client.
Your agent gets the same data the built-in agent uses — structured, up-to-date, and ready to reason about. Your genetic data never leaves your machine if you pair the MCP server with a local model like Llama or Mistral.
You choose exactly what happens to your genome data. Every feature works either way.
We parse your file, match your variants against our database, then permanently delete the raw file. Only your matched genotypes are kept — the minimum needed for your personalized results.
When we add new research, we’ll let you know so you can re-upload and get matched to the new variants.
Keep your file in your personal account so we can automatically match it against future research — no need to re-upload when we add new variants. New results just appear.
Delete the stored file anytime from your account page. One click and it’s gone.
Your data is never shared with third parties. Processed entirely on our servers in the EU. Delete all your data at any time from your account — no questions asked.
Every article and recommendation in GeneOps is produced by state-of-the-art research agents using the most capable frontier models available, validated against strict schemas.
Each variant is researched individually — clinical databases and published studies reviewed, findings synthesized with evidence-graded recommendations and PubMed citations.
Every allele is checked against the NCBI dbSNP reference database. Plus-strand orientation, population frequencies, and risk alleles confirmed before any recommendation is written.
All output validated against strict schemas — genotype alleles, evidence levels, action types, citations — loaded into a relational database where every fact is cross-referenced.
New categories and variants added through orchestrated batch research runs. Store your genome file and new results appear automatically — or re-upload when we notify you of new research.
Upload your genome and explore your results at no cost. Unlock the full action plan for $199.