Clinical sources, not gimmicks
Every finding is traced to established clinical databases. We present the evidence, not opinions. Our methodology blends clinical genomics with herbal medicine traditions.
Three steps from raw data to insight
Upload & Parse
Upload your raw genotype file from 23andMe, AncestryDNA, or any service that provides a standard VCF or tab-delimited text file. Your browser parses it locally — your raw DNA data never leaves your device.
Variant Analysis
Your variants are matched against peer-reviewed clinical databases maintained by leading research institutions. Each match is annotated with pathogenicity classifications, drug-gene interactions, and evidence levels.
Narrative Generation
Structured findings are sent to AI to produce a plain-language health narrative. Clinical significance, pharmacogenomic relevance, and lifestyle traits are organized into a report you can actually understand.
Your raw DNA never leaves your device
All parsing and variant matching happens locally in your browser. No server uploads, no cloud storage, no third-party access. Only structured, de-identified findings are sent for narrative generation.
Scientific rigor, source-agnostic
Our analysis is powered by multiple independent, government-backed research databases. We cross-reference your genetic variants against clinically validated research from established institutions. All our data sources are public domain or openly licensed, ensuring that our findings are based on the highest standards of transparency and accessibility.
Clinical Variant Databases
We utilize curated archives of clinically significant genetic variants. These databases contain millions of pathogenicity classifications used by clinical labs worldwide, maintained by leading government and research institutions.
Clinical Implementation Guidelines
Our system incorporates evidence-based drug-gene interaction data and clinical implementation guidelines. These sources provide dosing recommendations and drug labeling information approved by national health authorities.
Our Commitment to Transparency
- •We attribute sources through published research citations rather than database brands, focusing on the underlying science.
- •Our system is designed to be modular, allowing us to incorporate new research databases as they become available to ensure you always have the latest insights.
- •Every finding in your report is traceable to peer-reviewed research and validated clinical data.
Nutritional Reference Data
Metabolic traits, caffeine response, and nutrient needs based on national nutritional reference data.
Variant Data
Inherited conditions, carrier status, and risk factors derived from clinical variant databases.
Drug Labeling Data
Drug metabolism and dosing guidelines based on FDA-approved drug labeling data.
Methodology developed by Porsché White, M.S. in partnership with Mastermind Group Ventures, LLC — blending clinical genomics with herbal medicine traditions.