The AI coach that reverses your biological age

Biological age reflects how old your body really is based on fitness and health markers. Sarvita calculates it from three components: VO2 Max Age (the strongest predictor of longevity), HRV Age (nervous system resilience), and Body Composition Age, using age-percentile reference tables from population studies.

Yes. VO2 Max, heart rate variability, and body composition are all trainable metrics. Research shows that consistent exercise — particularly Zone 2 cardio, strength training, and VO2 Max intervals — can measurably improve these markers, effectively lowering your biological age over time.

Zone 2 Cardio (aerobic base and fat metabolism), Strength Training (muscle and bone density), VO2 Max Training (the strongest mortality predictor per JAMA 2018), and Stability Work (fall prevention and mobility). Sar builds personalized weekly plans across all four pillars, adapting to your current fitness level. As you get stronger, your plans evolve — adding volume, intensity, or new focus areas so you're always progressing, not plateauing.

Yes. Health data from Apple Health stays on your device and is never uploaded to any server. AI coaching queries are processed and immediately discarded. All app data syncs through your personal iCloud account. Your data is never used to train AI models.

Snap a photo, or just describe what you ate. No barcode to scan, no database to search. Sarvita logs the calories and macros in seconds — then rates the plate: a badge with the reasons behind it, and a label on every food showing how processed it is. Fibre, total sugar and saturated fat go to Apple Health alongside your macros. Got something wrong? Tell it — "that was 3 eggs, not 2" — and it re-analyses in place.

Biological age is the odometer. Age Pace is the speedometer — how fast today is aging you. 1.00 is a neutral day; below it, you're banking time. It weighs 19 factors in three groups: what you've built (VO2 Max, HRV, resting heart rate, body composition, walking pace, sleep regularity, smoking), what you did today (steps, Zone 2, strength, sleep duration, diet quality, protein, energy balance, eating window, late eating, daylight), and how you're responding (acute strain and overreaching, against your own baseline rather than a population's). Each starts as a published hazard ratio converted into age-equivalent years through Gompertz mortality maths — 33 years of budget in total — which is what lets sleep, steps and body composition be added together at all. Tap Show the math and the app prints every factor's raw input, weight and year contribution, what it couldn't measure today, and how solid the evidence behind each factor is. Population-level associations rendered as a personal model: research-backed, not a measurement of your cells and not a diagnosis.

Every meal gets a badge — Good, Mixed, Watch out, Neutral or Not your diet? — with the reasons behind it, and every food shows how processed it is, from whole food to ultra-processed. A meal never gets a number. Your day does: a diet-quality score out of ten, built on Harvard's AHEI-2010 index and measured against a typical adult rather than a school grade — a typical adult scores about 3.7, so a 5.4 already lands in the top 20% of days. It has nine components — vegetables, fruit, whole grains, nuts and legumes, sugary drinks, red and processed meat, omega-3, healthy fats and sodium — each scored 0 to 10, so a weak one is the feedback rather than a mystery. That day score is what Age Pace reads for the food half of your day. And because it describes the shape of a whole day's eating, it's never a verdict on one plate. Disagree with a rating? Correct it with a tap. In 23 languages.

Most health apps focus on one thing — calorie counting, step tracking, or data collection. Sarvita is built as a complete longevity tool: it combines AI coaching across training, nutrition, and recovery — all tied to one metric, your biological age. Instead of just collecting data, Sarvita tells you what to do with it. See how we compare →