For investors · working product, pre-launch · founder-led

Your whole health, in one intelligent profile.

Every signal you have, genetics, wearables, labs, microbiome, environment and lifestyle, fused into one profile that returns actionable, AI-driven, evidence-checked guidance. Private by design.

We have not found a product that unifies a person's biology this way. VitaCrypt does, built to fold in any health signal and grow over time, and every recommendation cites a real source retrieved live, so guidance reads the whole picture against your genotype and environment. Privacy is the trust layer that makes centralizing this data acceptable, not the pitch.

01 · The opportunity

We have not found a single place where all of your health comes together.

People generate more health data than ever, genetic reports, wearables, blood panels, microbiome kits, even the air they breathe, but it lives in a dozen disconnected apps that each see one fragment. We have not found a product that fuses it into a single profile and reads it as a whole. VitaCrypt does: one unified profile that turns scattered signals into actionable, evidence-checked guidance, and is private by design so the data never has to be exposed to be understood.

  1. 1
    The data exists, the picture doesn't

    Consumers already pay for DNA kits, wearables and lab panels. The signals are everywhere; we have not found a product that unifies them into one coherent health picture.

  2. 2
    Fragments aren't answers

    "You slept 6 hours, you walked 8k steps" is not guidance. Value comes from reading the whole profile together, against your genetics and your environment.

  3. 3
    Trust is the unlock

    People will only centralize their most sensitive data if exposure is off the table. Private-by-design architecture is what makes the unified profile possible at all.

  4. 4
    The category has capital

    Consumer health and longevity is one of the fastest-growing spaces in tech. The money is racing in; the unified, trustworthy profile is the gap still open.

02 · Why now

The signals, the demand and the technology all arrived at once.

This product was not buildable a few years ago. 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 we have not found these put together.

UNIFICATION
All in 1
Genetics, wearables, labs, microbiome, environment, lifestyle and more, fused into one profile and built to unify any health signal. We have not found a product that unifies it this way
CATEGORY CAPITAL
$30M
Superpower's Series A (Apr 2025, >$300M post). Function Health and others are racing the consumer-health-data land grab, none unifying it privately
23ANDME FALLOUT
6.9M
Users breached; sold for $305M. Why centralizing health data demands a trust model the incumbents can't offer
EVIDENCE FIRST
0
Fabricated citations: every PMID is verified, invented ones are stripped automatically. The engine says no when the science is not there.

The competitive heat is real: Function Health sued Superpower in 2025 over advertising, a sign of how contested this category has become. We do not compete on drawing blood. We compete on the layer above it: unification, evidence-checked guidance and privacy that no fragmented, plaintext-holding competitor can match.

03 · The moat

Four capabilities compound into one defensible position.

Any one of these is a feature. Together they are hard to copy: a fragmented competitor cannot retro-fit a unified profile, a generic one cannot match guidance read against your whole biology, and none of it earns trust without privacy built in from the start.

Unified holistic profileGenetics, wearables, microbiome, labs, environment, lifestyle and more, fused into one profile and built to unify any health signal, not a fixed set. We have not found a product that brings all of a person's health into a single place. This is the core.
Evidence-checked, with a clinical boundary in softwareEvery insight is classified before it is shown into one of three honest tiers. Evidence-backed: real PubMed PMIDs, a confirmed-N-of-M corroboration check across the retrieved papers, and a High / Moderate / Emerging confidence indicator. Exploratory: cross-domain connections the literature has not settled, labelled preliminary rather than dressed up as fact. Redirect: anything clinical is withheld server-side and replaced with a warm handoff to the right clinician. For established pharmacogenomic markers (starting with CYP2C9) the published CPIC consortium guidance is shown as a descriptive reference. This is the most demonstrable asset today and the sharpest contrast with confident-by-default AI.
Actionable, whole-profileGuidance comes from reading the entire profile together, against your genotype and local exposures, so it is specific and usable, not a fragmented "you slept X, you walked Y".
Private, the trust enablerA person's whole profile is never sent intact: it is minimized and pseudonymized before anything leaves, so only the summary an insight needs is sent, and no single AI vendor is load-bearing. Today: encrypted at rest, per-user keys, crypto-shred, minimal retention. Building: prompt minimization, a BAA-grade zero-retention inference endpoint, and on-device document extraction. Roadmap, in order of horizon: self-hosted open-weight inference, and far out, fully homomorphic encryption. The trust layer, not the headline.

The one position a giant structurally will not take is independence: VitaCrypt is built so your profile never has to land in a single AI company's cloud to be understood. That is the gap their business model cannot close without ceasing to be itself.

04 · What works today

A working product that unifies real health data, cites real research, and enforces a clinical boundary in software.

A working product, pre-launch, and honest about it: no revenue, no users yet. But the product already ingests real genetic, environmental, survey and lifestyle data into one profile and returns recommendations classified through a three-tier evidence router with a software-enforced clinical boundary, each cited to real retrieved literature. What the round completes is depth and production hardening. The list below is deliberately conservative.

CapabilityWhat it actually does todayStatus
Genetics23andMe raw upload, SNP parsing, curated risk markers, health scoreLive, E2E
EnvironmentLive air quality, PM2.5, weather, geo-keyed to the userLive
Evidence routerThree-tier classification, per-paper concordance, composite confidence indicatorLive, unit-tested
Clinical boundaryClinical insights withheld server-side, warm handoff to a clinicianLive, software-enforced
CPIC referenceCYP2C9 descriptive pharmacogenomic referenceLive
Surveys / lifestyleLifestyle, context and goal check-ins; self-reported wellbeing as optimization signals, not clinical screenersLive
RecommendationsCited next actions (real PMIDs), source badges, a concrete tiny-habit per tipLive
Health-score trendReal dated history, charted from actual scoresLive
LabsOCR and biomarker parsing wired; awaiting a lab file to populateWired
WearablesApple Health file import wired; direct OAuth sync not yet connectedPartial

Honest scope: the unified profile is built to ingest any health signal, with more added over time. The core streams are live in the demo (genetics, environment, surveys, lifestyle), with labs and wearables wired and awaiting a file or connection. Recommendations cite real retrieved literature today. On privacy: data is encrypted at rest under per-user keys with minimal retention today; minimization and pseudonymization before egress and a BAA-grade zero-retention inference endpoint are the near-term build; self-hosted inference and, far out, FHE are roadmap, not claimed as shipped. A clinical advisor joins ahead of the IRB validation study planned for 2027. The master key is still server-side today, and we state that plainly.

Now vs target

CapabilityNow (live MVP)Target (this round and beyond)
Unified profileCore streams live (genetics, environment, surveys, lifestyle)More signals, deeper coverage, any health data
PrivacyEncrypted at rest, per-user keys, minimal retentionMinimization and pseudonymization before egress, BAA-grade zero-retention endpoint, on-device extraction; self-hosted inference and FHE on the roadmap
Key custodyServer-side master keyDevice-bound (Secure Enclave)
Clinical validitySynthetic demo modelValidated models, IRB study 2027

We show both columns on purpose. The left is what runs today; the right is what this round is built to deliver. We do not blur the two.

05 · Founder & the team this round builds

A founder who builds products and the business around them. The round funds the first hires.

VitaCrypt is founder-led and deliberately capital-efficient: the working product was built end to end by Paul Burg, which keeps burn near zero while the hardest technical risk is retired first. Paul is a founder and operator who originates concepts and builds the product and the business around them: he first sketched VitaCrypt in San Francisco in 2019 and revived it when FHE matured, originated the tokenized real-world impact (tRWI) concept and built in the public-goods space. His training is in environmental engineering (a five-year specialist degree) with postgraduate research in ecology; longevity is the throughline. That breadth is why one person can scope the architecture, ship a working product and own delivery at this stage. This round turns a working product into a team. LinkedIn →

Where the first hires go

  1. 1
    Backend and ML engineering

    Owns the evidence engine and the unified-profile fabric: retrieval, grading, the three-tier router and anti-fabrication guards, and the source integrations that fuse signals into one profile. Staffed from month one. This is where the defensibility is built.

  2. 2
    Data engineering

    Wearables, genetics, microbiome and lab ingestion unified into one coherent profile.

  3. 3
    Data science

    Evidence-grading depth and validated-risk modeling, moving beyond associative readouts. The moat.

Plus a fractional independent security audit in place of a full cryptographer hire.

Security is covered by an independent audit (fractional) rather than a senior-cryptographer hire. Private compute and FHE are on the R&D roadmap, not a month-one central risk.

The roles are named because the plan is specific. The bet an early investor makes here is on a founder who knows exactly what the money buys, and in what order.

06 · The raise

Raising to complete the unified profile, the evidence engine and private compute.

This is an early, founder-led round. Its shape is intentionally flexible at this stage; the goal is the right partner, not a fixed term sheet on a public page. Round size, the valuation cap and the financial model live in the deck and data room, shared on request.

Use of fundsThe first engineering hires, compute infrastructure for private-by-design inference, the source integrations that complete the unified profile, and a modest founder salary with the rest into build.
The milestoneBroader source coverage unified in one live profile, minimization and pseudonymization before egress with a BAA-grade zero-retention inference endpoint, clinically validated models replacing the demo model, and the first design-partner cohort (Q4 2026) drawn from the biohacker and longevity communities, onboarded personally at founding-member pricing.
InstrumentA post-money SAFE with a valuation cap, the pre-seed standard. Direct access to the founder, the litepaper, and a full deck and data room on request.

If you back a unified, evidence-checked health profile built to stay independent, let's talk.

The fastest way in is a short call and a look at the live product: a working demo with a fully populated profile is available to interested investors on request, granted personally. Request the deck and data room, or email investors@vitacrypt.xyz directly. We respond within 48 hours.