Medicine that looks forward
Your body has been keeping notes. Nobody's been reading them.
Vitalis connects your wearables, your blood work and your meals into one longevity score — and one AI physician who turns it into habits you'll actually keep.
Built on the Medicine 3.0 framework·Your data never sold·Made for Indian bodies
Indians living with prediabetes. Most of them don't know it.
Earlier that South Asians develop cardiometabolic disease.
Biomarkers tracked and trended, year over year.
The cost of a concierge longevity physician.
Sources: ICMR-INDIAB national cross-sectional study, Lancet Diabetes & Endocrinology 2023; peer-reviewed South Asian cardiometabolic literature.
The problem
You are not short on data.
You have a recovery score you check every morning, a lab report you opened once, a step count nobody acts on, and a food log you abandoned in March. Every one of them is a fragment of the same story, stored in a different silo, measured against a different standard, explained by nobody.
What's missing is not another sensor. It's interpretation.
Strain elevated · 3 days
lipid_panel_final.pdf · unopened
Below your weekly average
Last logged 14 weeks ago
Four apps. Zero answers. Nothing here is talking to anything else.
How it works
Three steps. None of them involve willpower.
Connect everything.
Whoop, Oura, Apple Health, Garmin, your CGM, your body composition scan. One timeline, one set of units, one place where the contradictions become visible.
Understand it properly.
Photograph any lab report. We digitise it, trend it across years, and show you the optimal range — not just the one your lab calls normal.
Your lab calls anything under 130 normal. The evidence says under 80 if you intend to live past ninety with your arteries intact.
Change something small.
Not a twelve-week plan. One habit, anchored to something you already do, small enough that you can't fail at it. Then the next one.
Anchored to: finishing your evening meal. Chosen because your post-dinner glucose spikes are the highest of your day.
The Vitalis Score
One number. Four horsemen. Nowhere to hide.
ApoB and Lp(a) put you above where you should be for your decade.
Fasting insulin and post-meal glucose suggest early resistance.
Sleep architecture and VO2 max are both working in your favour.
Screening is current. Visceral fat is the one lever left here.
The score is decomposable, all the way down. Every number opens to the biomarkers behind it, and every biomarker opens to the behaviour that moves it. Nothing is a black box you're asked to trust.
A risk estimate, not a diagnosis. We show our confidence band.
Meet Dr. V
An AI physician who reads your chart before it speaks.
Most health chatbots answer the question you asked. Dr. V starts from your record — every lab, every night of sleep, every meal — and works backwards to the mechanism.
It asks why a number moved before it suggests what to do about it.
Every claim points back to a reading, a date and a trend you can open.
When the research is thin, it says so instead of sounding confident.
It will tell you plainly when it's time to see a real doctor.
Dr. V provides education, not diagnosis or prescription.
Built for Indian bodies
Most longevity tooling was not built for you.
Reference ranges are calibrated on Western cohorts. South Asians develop cardiometabolic disease roughly a decade earlier, at lower BMI and smaller waist circumference, with more visceral fat at the same weight. A tool that calls you healthy at a BMI of 24 is using someone else's data.
And then there is food. Almost no nutrition model can read a thali — the katori portions, the tadka, the fact that roti and rice showed up at the same meal. Ours was trained to.
Protein's light for a main meal. Add 100g paneer — you're averaging 0.9 g/kg, and we want 1.6.
The thinking
We think medicine is asking the wrong question.
Medicine as it's practised waits for disease to declare itself, then manages it. That's a reasonable model if you're already sick. It is a terrible one if you're forty and fine.
The more interesting question is what's quietly accumulating right now — in your arteries, your pancreas, your brain — twenty years before anything shows up on a test your doctor would order. Almost nobody asks it, because the system isn't paid to.
Vitalis exists to ask it. Every day, with your own data, in language you can act on.
Medical advisory board
The people who keep us honest.
Every clinical framework, risk model and coach guardrail in Vitalis is reviewed by practising physicians. When the evidence is thin, they're the reason we say so.
“The risk equations most Indian clinicians rely on were validated on Framingham. They underestimate this population, and everyone in cardiology knows it.”
“If I could order one number for a forty-year-old, it would be ApoB, and it wouldn't be close. We've known this for fifteen years. Practice hasn't caught up.”
“Fasting insulin is cheap, informative and almost never ordered. By the time HbA1c moves, you've been metabolically unwell for a decade.”
“Sleep is the only one of these levers with nothing to sell you. That is roughly why it gets the least attention.”
Our advisors review the risk model, the coach’s clinical guardrails and every red-flag escalation rule each quarter. Where they disagree with us, the product changes.
At rest and in transit, on Indian infrastructure.
No brokers, no insurers, no advertising partners.
Clinical content is signed off before it ships.
We do not diagnose, treat or prescribe.
Pricing
Priced against the alternative, which is not knowing.
Enough to see what your last three years of blood work have been trying to say.
- Digitise and trend your lab reports
- Basic device sync
- Biomarker reference ranges
The whole system. The score, the coach, the habits, everything connected.
- Full Vitalis Score with confidence bands
- Dr. V, your AI physician
- Food logging built for Indian meals
- Habit engine and streaks
- All device and CGM integrations
For people who want the data collected, not just interpreted.
- Everything in Core
- Biannual 60-biomarker panel
- Two CGM sensors per year
- Quarterly review by a physician
Questions
Answered without the marketing voice.
The best time to start was twenty years ago.
The second best time is before your next birthday.