The genetics marketplace presents health companies, practitioners, and researchers with a difficult choice: consumer-oriented kits that lack clinical depth or inflexible, overly technical clinical platforms. This fragmentation forces providers to assemble incomplete solutions from multiple vendors, leading to disjointed patient experiences characterized by multiple tests, portals, and confusing reports. GeneMetrics has developed a platform designed to resolve this industry-wide challenge by offering fully customizable testing solutions that go beyond simple white-label services.
GeneMetrics represents the first platform to unify lifestyle, clinical, diagnostic, and advanced genetic testing in a single location. Unlike private-label solutions that merely rebrand generic products, GeneMetrics functions as a custom testing product development company where every aspect—from kit design and packaging to wet-lab testing and data reporting—can be tailored to client specifications. This approach allows practitioners to combine genetics, bloodwork, and lifestyle factors into cohesive, actionable patient reports aligned with their specific clinical philosophy.
The platform's scientific capabilities are extensive, offering one of the largest libraries of validated report elements and sequencing technologies. These include bead-chip genotyping arrays, clinical-grade Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS), PCR and PGx panels, and testing for epigenetics, blood, urine, saliva, and microbiomes. Clients can sequence and report on anything from a single SNP to hundreds of millions of variants, ensuring flexibility across consumer lifestyle kits, clinical diagnostics, and enterprise research.
A key differentiator is GeneMetrics' fully customizable recommendation engine, which prioritizes clarity over quantity to provide patients with actionable steps regarding supplements, diet, lifestyle modifications, or medications. This approach has demonstrated significant impact for clients: a U.S.-based functional medicine practice reduced practitioner analysis time by 70 percent, while a European health AI firm scaled from 500 to 50,000 users in under six months using GeneMetrics' scalability features.
Scientific integrity is maintained through thorough validation of all methodologies—including polygenic and monogenic risk assessments, pharmacogenomics, imputation, ancestry analysis, methylation studies, and multi-omic bioinformatics—and a dedicated auditing system that makes it the most transparent and audit-ready scientific solution available. The platform's machine learning algorithms reference over 140,000 peer-reviewed studies to enhance next-generation interpretations, supported by a team of over 80 professionals including more than 40 MDs, PhDs, bioinformaticians, and data scientists.
Data security and client control are paramount, with GeneMetrics adhering to HIPAA, GDPR, SOC 2 Type 2, and ISO27001 compliance standards. Data is protected through multi-layer encryption using AES-256 for data at rest and TLS for data in transit, with clients maintaining 100 percent ownership of their data. For transparency, GeneMetrics provides live compliance policies and monitoring at https://trust.genemetrics.com.
The company operates exclusively as a backend provider, offering confidentiality as a service without competing with clients or maintaining a consumer-facing brand. This allows clients to launch unique products without concern for competition. With unit costs potentially starting below $100 and wholesale rates that outperform market competitors, GeneMetrics is engineered for rapid scalability from boutique clinics to large-scale genomics initiatives, supporting turn-key logistics management including kit manufacturing, co-packing, fulfillment, and data analysis.
Founded by a team of clinicians, scientists, and legal experts led by CEO Benji Rabhan, GeneMetrics is trusted by leading genomics and health companies globally, though confidentiality agreements prevent disclosure of specific client names. The company's vision extends toward a future where precision health becomes proactive, integrated, and accessible by merging genetics, epigenetics, blood, microbiome, and lifestyle data into one cohesive ecosystem driven by AI and multi-omic bioinformatics, facilitating a transition from reactive medicine to personalized, preventive care.
