Vocaid Health — early access
Your health data, finally in one place
Connect the wearable you already own — Apple Health, Garmin, Health Connect, Oura, Whoop, Huawei or Xiaomi — and read your sleep and recovery in one clear dashboard, with an AI assistant grounded in your own numbers.
New property, early access — early users shape what it becomes
What this is
Vocaid Health is a new Vocaid property for people who track their health with wearables and are tired of the data living in seven separate apps. It brings your sleep, recovery and activity history into a single view: nightly breakdowns, trends across 7, 30 and 90 days, and the raw numbers behind them.
Alongside the dashboard sits an AI health assistant. It answers questions about your own history — why a rough week looked rough, what changed versus last month — using your actual data as context, not generic wellness advice.
It is new and in early access. The dashboards and assistant work today for the sources we have enabled; the roadmap below says plainly what is still being designed and what is only being assessed. Early users shape what this becomes.
How it works
- 1
Connect a wearable
Sign in with the provider you already use — Apple Health, Garmin, Health Connect, Oura, Whoop, Huawei or Xiaomi. We read sleep, recovery and activity data through their official APIs, with the scopes they grant and nothing more.
- 2
Read your recovery
Every night becomes a clear record: sleep stages and efficiency, resting heart rate, HRV, recovery scores, and how they trend across weeks and months — in one dashboard instead of seven.
- 3
Ask your assistant
The AI assistant answers from your own history across every measure you have connected — it can walk through a rough week, put last night against a meal, compare periods, or suggest questions to bring to a professional. It does not diagnose and does not replace medical advice.
Illustrations, not screenshots.
What flows in
Sleep is where most trackers stop. Connect what you already wear and use, and the dashboard reads far more than a nightly score — each group below is data your devices and apps already produce.
Sleep & recovery
Sleep stages and duration, time awake and efficiency, readiness and recovery level, overnight breathing and temperature trend — plus your device’s own score where it publishes one, shown as theirs rather than restated as ours.
Heart
Resting heart rate, heart rate through the day and during workouts, beat-to-beat variability as both RMSSD and SDNN, and breathing rate. Nocturnal resting heart rate is the one measure that lines up well across different brands, so it is the one we lean on when comparing.
Vitals
Blood pressure as systolic and diastolic readings from a cuff, blood oxygen from a ring or watch, and glucose with time-in-range and trend from a continuous glucose monitor. Each comes from the instrument that records it — Vocaid measures nothing itself; it reads what your own devices write.
Effort & activity
Strain and stress, calories split into burned, intake and net, workouts, steps, distance, elevation and floors climbed, pace and power — and VO2 max where your device estimates it. Swimming carries its own detail: laps, strokes and pool length. Calories are shown per device on purpose: vendors model them differently, and one blended number would imply a precision the sensors do not have.
Body
Weight, body fat, muscle, bone and lean mass, body water, hydration through the day, and cycle tracking where you record it — the slower-moving numbers that give the daily ones their context.
Food
Point your camera at a meal and it becomes calories and macros — protein, carbohydrates and fat — down to the micronutrients behind them: iron, calcium, potassium, magnesium, the B vitamins. No weighing, no database search, no barcode hunt.
Which sources are switched on grows during early access, and not every device records every measure — a ring cannot take your blood pressure, and a cuff knows nothing about your sleep. The dashboard shows what your own devices actually recorded, and says where a number came from.
Seven sources, one dashboard
Ingestion runs through official provider APIs, so the list grows during early access as each source is switched on — the dashboard never blocks on the newest one.
One dimension no wearable can carry: food. Whatever you connect, meals come from the camera — a photo becomes calories and full macros, captured by Vocaid itself, never passed through by a band or a ring.
Your data, your call
You connect each source yourself, on the provider's own permission screen — Vocaid never asks for your wearable password. Disconnect any source whenever you want and we stop receiving its data; you can also withdraw access in the provider's own settings.
Your readings are yours to take with you. Export what has been collected, or delete your data and close the account, without writing to support first.
Sharing a view of your data with someone you choose — a trainer, a dietitian, a clinician, a study — is on the roadmap below, not in the product yet. When it arrives it will be scoped, time-limited and revocable, and we would rather say that plainly than imply it already works.
Connect and disconnect
Add a source on the provider's consent screen; remove it whenever you want.
Take it with you
Export the data that has been collected, in a machine-readable form.
Erase it
Delete your health data and close the account yourself.
What you get
Six things the property is built around — the first four are live in early access, the last two are on the roadmap and say so.
One dashboard, every source
All your connected sources in one place — sleep and recovery, heart, vitals, effort and food — with 7/30/90-day trends and a note of which device each number came from.
AI health assistant
Ask about your own numbers — the assistant answers from your sleep, heart, vitals, effort and meals, not generic advice. It does not diagnose and does not replace medical advice.
Your data stays yours
Your wearable history is exportable, and access by any feature or partner is consent-based — granted explicitly and revocable.
Opt-in challenges (in design)
Health challenges settled by verified wearable metrics rather than self-reporting — returning as an optional module.
Pay per use (in design)
A free tier for the basics, and premium AI insights paid only when used — card by default, on-chain micropayments optional.
For clinics & research teams
Consent-based access for care teams and studies — participants share exactly what they choose, and can revoke it.
Roadmap
What is live, what is being designed, and what is only being assessed — in plain words, without dates we do not have.
Live · early access
Sleep & recovery dashboard
Nightly breakdowns and 7/30/90-day trends across your connected sources.
AI health assistant
Answers grounded in your own history — no generic advice.
Seven-source ingestion
Apple Health, Garmin, Health Connect, Oura, Whoop, Huawei and Xiaomi through official provider APIs.
Food from a photo
Photograph a meal and get calories and macronutrients back, logged alongside your sleep, heart and activity so the assistant can see intake and output together. Live in early access.
In design
Card-first payments, crypto optional
A free tier for the basics; premium insights paid per use — Stripe by default, on-chain micropayments (Hedera/Stellar) optional for crypto-native users.
Opt-in challenges
Challenges settled by verified wearable metrics rather than self-reporting — returning as an optional module.
Share a view with a professional
A scoped, time-limited, revocable view for a trainer, dietitian, clinician or research study you pick. Most people say they would share wearable data with a clinician; far fewer ever do, and the gap is the work. In design — the rules for consent and revocation come first.
In assessment
One knowledge graph across Vocaid
A graph database (Neo4j is the candidate) modelling how everything on Vocaid relates — career, research, growth and health — so consent, provenance and cross-vertical context are first-class. See the assessment below.
The graph data hub — an architecture assessment
Today, Vocaid's data lives in relational stores that are excellent at records but poor at relationships. As the platform spans careers, research, growth and now health, the questions worth asking become questions about connections: which wearable session produced which score, who granted which app access to what, and how a person's activity across verticals relates.
We are assessing a property-graph layer — Neo4j is the leading candidate — as a derived read model alongside the existing Postgres stores, not a replacement for them. Nodes would model people, devices, sessions, metrics, insights, consents and entities from every vertical; edges would model provenance (device → session → score → insight), consent lineage (who granted what to whom, and what was revoked), and cross-vertical relationships.
This is an assessment, not a shipped system. It is published here because the answer shapes what the health hub can honestly promise about data ownership and portability — and we would rather show the thinking than promise the conclusion.
Frequently asked
Who owns my data?
You do. Your wearable history is stored where you can export it, and access by any feature or partner is consent-based — granted explicitly, revocable, and recorded so you can see who saw what.
Is this medical advice?
No. Vocaid Health is a wellness product: it organizes and explains your own data. The assistant will not diagnose, and anything that looks medical is a question to take to a professional.
What does it cost?
The basics are free during early access. Premium AI insights will be pay-per-use — card by default — with nothing charged while the property is this young.
Which wearables are supported?
Apple Health, Garmin, Health Connect, Oura, Whoop, Huawei and Xiaomi. Per-source availability rolls out during early access as each provider is switched on.
Try Vocaid Health
Connect a wearable and read your sleep and recovery in one place. Free while the property is young — and you can disconnect or delete whenever you want.
Early access — the basics are free.
For clinics & research teams
Consent-based access for care teams and studies: participants share exactly what they choose, and can revoke it. Book a working conversation about early partnerships.