GeneOps doesn't prescribe a single integration model. The platform exposes multiple surfaces — from a low-level API to fully-branded user experiences — so you connect at the layer that makes sense for your product.
Upload a standard genotype file (23andMe, AncestryDNA, VCF). Receive structured, evidence-graded insights across 30 health domains in JSON. Full PubMed citation traceability in every response.
The GeneOps MCP server lets your AI products query the genomic knowledge base in real time. Your conversational products can reason about a user's genome — with cited, evidence-graded answers.
Deploy a fully branded genomic health portal — your logo, your domain, your product experience. GeneOps powers the science and infrastructure. You own the user relationship.
Pre-built, themeable components that embed genomic content inside your existing interface. Surface DNA-based insights, action recommendations, and conversation UI without a complete product rebuild.
The polymorphic translation layer means every output — actions, insights, UI strings — is translatable. Launch in English, Swedish, or any language. Localization is built into the data model, not bolted on.
The knowledge base is updated continuously as new peer-reviewed research is curated and validated. Your product becomes more intelligent over time — without changes to your integration.
Genomic personalization is a meaningful product differentiation when the intelligence behind it is deep enough to change behavior. GeneOps delivers that depth.
Users understand why they respond differently to diet, exercise, supplements, and sleep strategies. Not as a curiosity — as a concrete, citable explanation grounded in their own variants.
Specific, evidence-graded actions across supplements, nutrition, training, lifestyle, monitoring, and avoidances — each tied to one or more of the user's actual variants.
Users can ask questions about their genome in natural language and receive cited, calibrated answers. Not hallucinated — grounded in structured data with confidence scores and citations.
Unlike a static report, the GeneOps experience evolves. As the knowledge base grows and users explore new domains, the product deepens. Engagement is durable, not one-time.
All variant data is dbSNP-verified and HGVS-notated. Every finding carries a confidence grade and at least one PubMed PMID. The deterministic matching engine produces identical results for identical inputs — no randomness, no hallucination risk in the analysis layer.
We'll walk through the API documentation, sample outputs, and integration timeline for your specific product architecture.