Your health data, unified.
You're the only one who sees your whole health picture—your doctors, your pharmacy, and the apps on your phone each hold a fragment. dx3 brings it together on hardware you own, so every decision about your care starts with the full story.
Your health information is scattered across providers, payers, and apps—nobody sees the whole picture. Your doctor spends most of your appointment doing archaeology.
This is the future of healthcare. Private. Integrated. Informed.
Your PCP has some labs. Your specialist has some notes. Your pharmacy has your meds. 23andMe has your genome in a zip file. None of them talk.
By the time your doctor pieces together your history from fragmented records, the appointment is over. No time left for actual medicine.
Standard of care is built on averages. 1 in 4 patients metabolizes psychiatric meds differently than the trials predicted—the treatment that helps most can harm you. Genetics ignored isn't a missed optimization. It's harm.
"What's wrong with me, doc?" You're a passive consumer in a system where you're the only one with the complete picture. Change the paradigm—inform yourself, transform your care.
Big Tech built empires on your browsing data. Now they want your health data too. AI companies just launched health features. Your genome is the new oil—and you're not the customer.
Genetics, labs, biometrics—pulled into one place and read together, not in isolation. A correlation engine surfaces what no single provider can see.
The result: a focused clinical report, ready for your next appointment.
Show up informed. Because you are.
23andMe, Ancestry, clinical tests
EHR exports, blood work, panels
Wearables, scales, trackers
Clinical reports for every appointment
We build the cube. You buy it. You own it. It sits in your home, on your network. Your genetics, your labs, your biometrics—everything stays inside.
The AI? It runs on your cube. Not our servers. Not OpenAI. Not Anthropic. Yours. We don't see your data. Not "won't"—we can't. There's no cloud to breach, no terms of service to change, no acquisition that suddenly rewrites the rules.
Not a policy. Not a promise. Physics.
Your health questions, answered on your hardware.
Your cube. Your data. Forever.
We read your genome across 16 categories—from drug response and disease risk to the everyday traits that make you you. One upload, the whole picture.
11+ polygenic risk axes • 17+ drug-lab monitoring rules • Family inheritance analysis
Two members of the same household. The same upload pipeline. Different protocols, because different genetics.
COMT Met/Met · MTHFR C677T+/+ · MAPT H1c
Sublingual glutathione, sulforaphane, NAC, PQQ. Methylfolate over folic acid. Avoid resveratrol (COMT inhibitor).
COMT Val/Val · MTHFR wild-type · MAPT H2
NAC for substrate support, standard methylation pathway, broad antioxidant stack. Resveratrol fine; full caffeine tolerance.
Illustrative example. Real recommendations are generated from your data, cited to source literature, and updated as new research lands.
Personal Health Director
ClinVar pathogenicity, CPIC drug interactions, trait analysis from your 23andMe/Ancestry data
Multi-variant risk axes across neurodegenerative, cardiovascular, metabolic, and skeletal pathways. GWAS Catalog integration with strand-normalized alleles, per-variant effect sizes, and cross-pathway analysis—all computed locally, not behind a clinical genomics panel.
Genotype-to-supplement mapping with mechanistic rationale. NAC for COMT Met/Met oxidative stress, methylfolate vs folic acid by MTHFR status, sulforaphane for MAPT carriers—personalized stacks grounded in pathway biology, not generic protocols.
Conditions, labs, biometrics, medications, surgical and anesthesia history, and check-ins—all in one timeline. Medication reminders, drug-lab monitoring, and priority alerts when something needs attention—surfaced by an AI correlation engine that connects the dots across every data source.
Genotype-informed treatment planning across 14 specialties—not just summaries. Reports correlate medication history with genetic predictions, surface escalation pathways, flag CYP450 safety checks for your meds, and tie behavioral interventions to mechanism. Cited, validated, ready for your next appointment.
Self-hosted option available. Your data never leaves your infrastructure if you don't want it to.
Track health for your whole family in one place. The same platform produces personalized protocols for each member based on their unique genetics—different recommendations from a single data pipeline. Manage a shared care team of providers, coordinate appointments, see the complete picture.
Natural language questions or a quick search across every record—instant answers. "What medications should I avoid?" No menus, no digging.
Native Android app with Health Connect. Sleep, heart rate, and activity sync in the background. Push notifications when something needs your attention.
Same platform, focused outputs. Local-first hardware keeps data in-house—clinical practice, performance team, or your home.
Pharmacogenomics for biologics and MTX. Melanoma risk profiling. Prior auth ammunition to skip step therapy.
CYP2D6/CYP2C19 for SSRIs, SNRIs, and antipsychotics. Lithium and lamotrigine response markers. Reduce trial-and-error prescribing.
Genotype-informed stimulant vs non-stimulant selection. CYP2D6 safety for atomoxetine, bupropion, and guanfacine. Interventions tied to mechanism, not just symptoms.
Neurodegenerative and tauopathy risk profiling (MAPT H1/H1c, APOE ε4). Migraine and seizure pharmacogenomics. CYP450 safety for neurological agents.
Cardiovascular risk variants. Familial hypercholesterolemia, arrhythmia genes, statin response prediction.
Hereditary cancer syndromes. BRCA, Lynch, and 50+ cancer predisposition genes with actionable insights.
Clotting and bleeding risk—Factor V Leiden, prothrombin. Warfarin dosing genetics (VKORC1, CYP2C9). Iron-overload and anemia markers.
Alpha-1 antitrypsin deficiency, asthma, and COPD risk variants. Drug response markers for respiratory therapies.
Celiac risk (HLA-DQ2/DQ8) and IBD susceptibility. Thiopurine and PPI metabolism. Lactose and food-intolerance genetics.
Thyroid, metabolic, and hormone-pathway variants. Type 2 diabetes risk, vitamin D metabolism, and treatment-response markers.
Macular degeneration and glaucoma risk (CFH, ARMS2). Inherited retinal disease variants and screening guidance.
Pre-surgical pharmacogenomic screening. MAPT H1c flagged for regional anesthesia alternatives. CYP metabolism profiling for anesthetic agents.
"What should I know about this patient" cross-cutting summary. Flags, interactions, and specialist links.
Aging-pathway genetics—APOE, FOXO3, telomere biology. Research-grounded lifestyle implications for healthspan.
Concussion and CTE risk stratification (MAPT H1c, APOE ε4). Training periodization by stress genetics (COMT, BDNF). Injury risk profiling (COL1A1, ACE, ACTN3). Caffeine and creatine response by genotype.
14 specialty report types, all shipped and validated. Performance & sports medicine in active development.
Not a specialty report—a workflow. Data-dense variant tables with zygosity and population frequencies, CSV-ready exports, and inheritance visualization. Built for professionals who already know the science.
dx3 is in private beta. Request access or get in touch to learn more.
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