About Vitalis
Vitalis is an AI-powered fitness and health tracking tool. You log your body metrics, workouts and meals, and the AI turns that real data into professional analysis reports, periodized training plans and nutrition programs.
Every number traces back to a source record · Free to use, no credit card required
What it does
Body metrics
16 tracked metrics (body composition, measurements, cardiovascular, lifestyle) plus derived values like BMI, BMR, TDEE, body-fat percentage and waist-to-height ratio — all computed from published formulas.
AI analysis reports
Generated over 7 / 30 / 90-day windows, with five-dimension scores, highlights, risk flags and an actionable checklist — plus the formula derivations behind them.
Periodized training plans
Built from your goal, experience, weekly availability and available equipment, including form cues, target muscles, substitute movements and progression strategy.
Nutrition management
Calorie and macro targets derived from your TDEE and goal, with a food library, adherence rings and an AI-generated one-week meal plan.
AI coach chat
Every question automatically carries your weight trend, body composition, training volume, nutrition and sleep — answers are grounded in your actual numbers, not generic advice.
Offline-first, syncs across devices
Works fully offline. Sign in and your data syncs to the cloud, so switching devices or clearing your browser loses nothing.
Methods and sources
- BMI bands
- Chinese adult standard WS/T 428-2013
- Basal metabolic rate (BMR)
- Mifflin-St Jeor equation
- Body-fat estimate
- Deurenberg formula, with its ±3–5% error stated explicitly
- 1RM estimate
- Epley formula
- Safe rate of weight loss
- ACSM recommendation of 0.5–1.0% of body weight per week
- Training volume reference
- Schoenfeld et al.'s dose–response research: 10–22 sets per muscle group per week
FAQ
See all frequently asked questions →heyvitalis.com
Who we are
Our team was founded in 2023. Vitalis did not begin as a product but as a question that bothered us: why do tracking apps collect so much and say so little?
For the first few years we read primary literature rather than wrote code — the original Mifflin-St Jeor and Deurenberg papers, the ACSM activity factors, the research behind RPE as a marker of load. The conclusion was uncomfortable: the formulas were mature, the data was plentiful, and almost nothing on the market connected the two in a way a normal person could check.
So we built the tool we wanted to use. Every figure in Vitalis comes either from a published formula or from a record you entered yourself. Where the app cannot know something, it says so rather than inventing a plausible number.
We are a small, independent team. No advertising, no selling data, and the product is free. If a number is wrong, tell us — that is the only feedback that matters here.