Every wearable reads one signal. We read all of them, plus your DNA, your environment and the latest science, fused into one profile that returns actionable, AI-driven, evidence-checked guidance.
Private by design: VitaCrypt is independent, not a feature of any single AI giant, and your data is encrypted at rest under per-user keys. Microbiome and lab connections follow in 2027.
Most tools do one of these. The value is in how they compound. Here's the whole platform in one view, open any pillar for the full detail.
DNA, microbiome, wearables, labs, environment, self-report and more, fused into a single queryable profile, built to unify any health signal. We have not found a product that brings all of it together.
Explore →Every insight is graded, cited, or withheld: evidence-backed insights carry real PMIDs and a confidence indicator, exploratory ones are labelled preliminary, and anything clinical is withheld and handed to a clinician. For established pharmacogenomic markers (starting with CYP2C9), CPIC consortium guidance is shown as a descriptive reference. The model cannot invent citations.
Explore →The same biology reads differently by genotype and local environment. Guidance adapts to you, not the median.
Explore →Your whole profile is never sent intact: minimized and pseudonymized before egress, encrypted at rest under per-user keys, and independent of any single AI giant. Stronger guarantees (self-hosted inference, and far out, FHE) are on the roadmap, described as roadmap. The trust layer, not the headline.
Explore →DNA in one report, wearables in another, labs in a PDF, microbiome on a third site. Each sees one fragment; the patterns live between them. VitaCrypt fuses all of it into one profile and reads it together, against your genotype and your environment, then returns guidance that cites its source.
Privacy is the trust layer, not the pitch. The most valuable signals are the ones you should trust the fewest companies with, so the platform is private by design: the most sensitive data is minimized and pseudonymized before anything leaves, the profile is encrypted at rest under per-user keys, and VitaCrypt stays independent of any single AI giant. Stronger cryptographic guarantees are on the roadmap, not claimed as shipped.1
Encryption is one pillar; the other is the scope of what we unify. Wearables (Apple Health export today; direct device APIs on the build path), open environmental data, lab results, microbiome assays, genetic reports, and lifestyle check-ins, all pulled together into one queryable profile. The target architecture assembles them on the device, in your possession, before anything is encrypted or transmitted.
DNA reports surface variants that change what every other recommendation should mean for this person: folate cycle, lipid handling, methylation, caffeine clearance, exercise response.
Continuous physiology: HRV, resting heart, sleep stages, recovery, respiration, body temperature, daily activity load. The minute-by-minute reaction to everything else we measure.
CRP, ApoB, fasting glucose, HbA1c, vitamin D, B12, iron, lipid panels. The objective check against the wearable signal, what your physiology is actually doing under the skin.
Gut composition shapes inflammation, mood, nutrient absorption, and how a person responds to any dietary protocol. The map between food, stress, and outcome only makes sense with it.
PM2.5, ozone, pollen, UV, indoor humidity, water quality, ambient noise. The boundary condition every cell in the body is reacting to in real time, and the one most people never see.
Sleep, energy, stress, diet, supplements, training and workload, captured as simple lifestyle check-ins, as optimization signals rather than a clinical screen. The user's own annotation of why this week looks the way it does, context the data alone won't surface.
Most health apps tell you what was true in 2018. We tell you what was published this week. Recommendations re-evaluate every time a new paper, GWAS hit, or regulatory update lands in one of the corpora below.
Live today: PubMed, Europe PMC, OpenAlex, ClinVar/dbSNP, GWAS Catalog. On the roadmap: USPSTF, NICE, WHO, Cochrane.
~40M indexed records · NLM open data · queried live
Life-science literature · EMBL-EBI · queried live
~250M scholarly works · open-access first ranking · queried live
Variant-trait associations · curated genome-wide hits · EBI/NHGRI · queried live
Variant-clinical-significance mapping · NCBI · queried live
Roadmap, not yet wired · preventive grade A/B recommendations
Roadmap, not yet wired · global clinical guidance
Roadmap, not yet wired · UK NICE clinical pathways
Roadmap, not yet wired · systematic reviews & meta-analysis
An agent watches the public science for you, across the public corpora above. The model only reads public papers. Your profile is matched server-side over a backend that's encrypted at rest; doing that match under FHE, so the server never sees your profile in the clear, is an R&D roadmap goal rather than how it works today.
Click any stage. The flow, the evidence, and the phone respond together. Auto-plays on first scroll. Every recommendation is matched to real research, graded by strength, and cited before it reaches you.
Keep your Oura. Keep your Apple Watch. Keep your Whoop. We connect to all of them, and add what they can't see. Three axes where the consumer health stack breaks down, and what we do instead.
Wearables know sleep. DNA kits know genes. Labs know markers. No single tool fuses every layer of your biology against your local environment in real time.
In the consumer health stack, you are the data and the data is the asset. We are building the inverse: in the target custody model your key lives on your hardware and the profile is minimized before anything leaves, so exposure shrinks at every step. This round moves key custody device-bound.
Every player in the category encrypts at rest, then decrypts the moment they want to look at it. A breach is permanent: you can rotate a password, not a genome.
A composite case from the litepaper. Values illustrative, methodology real.
David sleeps seven hours, exercises four times a week, eats well. He also lives where ambient PM2.5 routinely exceeds the WHO guideline by 5×, carries an MTHFR C677T (TT) variant that blunts folate-to-5MTHF conversion (his homocysteine runs high on a "normal" diet), and an APOE ε3/ε4 that makes him cardiovascularly sensitive to the air his commute pipes into his lungs. We have not found a single app that sees both. VitaCrypt does.
By design, David's most sensitive signals are minimized and pseudonymized before they ever leave his device, and what reaches a server is the summary an insight needs, not his raw profile. The economics of a breach collapse when there is no readable profile to take.
A single living profile means the answer changes when the inputs change. Here is David, same biology, same person, across three moments of the same week. Each card is the action VitaCrypt actually puts in front of him.
Depth before breadth. Each phase compounds on the last.
Core streams live (genetics, environment, surveys, lifestyle), with more sources on the way, plus evidence-cited recommendations (real PubMed PMIDs), the three-tier evidence router, and the software-enforced clinical boundary, live in the invite demo. Closed alpha for the first design partners.
First design-partner cohort. Microbiome and lab ingestion into the synthesis, a BAA-grade zero-retention inference endpoint, prompt minimization, and deeper evidence grading. Invite-only waitlist activated.
Open enrollment + academic-medical-center partnership for IRB-supervised longitudinal validation; a clinical advisor joins ahead of the study.
HL7/FHIR connectors, clinician decision support, optional HIPAA BAA path for partner providers.
Enough people now carry genetic, wearable and lab data to make a unified profile meaningful; the category has serious capital; and the privacy technology that lets a person trust one app with all of it finally shipped. The gap is that, to our knowledge, no one has put these together: enough data, real demand, models that can finally read it together, and a population that does not want a giant to hold it.
Consumer health is drawing serious capital, yet no one has built the one place where all of a person's health comes together. VitaCrypt is a founder-led, pre-launch startup with a working product building exactly that: a unified profile with actionable, AI-driven, evidence-checked guidance, private by design. Here is the short version for investors.
VitaCrypt opens to its first design partners in Q4 2026. Investors and prospective partners, reach out directly.