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Most health apps do one thing. Longvai is built as a connected intelligence layer — every module feeds the others, so a pattern in your sleep data shows up in your experiments, your forecast, your biological-age estimate, and your Sunday brief.
Ask anything. Get answers from your actual data.
Unlike generic AI health chatbots, Care Chat reads your timeline before it speaks. Ask why your recovery dropped this week — it cross-references your HRV, sleep, training load, and nutrition to form a ranked, confidence-scored hypothesis. Every response cites your actual metrics.
Readiness forecasts, illness warnings, 6-month projections.
Bayesian models trained on your personal timeline forecast tomorrow's readiness score. Multi-metric pattern recognition flags illness 36–72h before symptoms — HRV suppression, elevated resting HR, and disrupted sleep are the triad. Long-horizon VO₂ projection shows you where you're headed at your current rate.
Real n=1 trials with real statistics.
Choose a hypothesis. Randomize. Run 2–6 weeks. Longvai handles the statistics: Spearman rank correlation to find drivers, Mann-Whitney U for experiment readouts, Cohen's d to measure effect size. Power analysis tells you when you have enough data to conclude — so you don't stop too early or fall for a false positive.
One readable page. Every Sunday. No fluff.
Every Sunday morning, Longvai writes a health brief based on everything it saw in your data this week. What changed, what improved, what to watch, and one thing to try next week. Not a generic newsletter — written from your own signals.
Personal baselines, not population averages.
Personal control charts monitor every biomarker against your own rolling mean and variance — not what's 'normal' for the average 35-year-old. When a metric drifts beyond 2–3 standard deviations from your baseline, you get a notification with context: what shifted, when it started, and what else moved at the same time.
Real targets. Trajectory forecasting. Honest progress.
Set a biomarker goal — VO₂ max +5, fasting glucose under 95, resting HR below 50. Longvai tracks your trajectory against that target with the same statistical rigor as the experiments module. Shows you the projected arrival date if you maintain your current rate of change — or flags if you're stalling.
Where other apps show loose correlations, Longvai uses real statistics — so a result actually means something.
Estimate how your body is aging vs your real age — with the exact markers aging you or keeping you younger, and the biggest levers to change it.
Which habits significantly help or hurt your recovery — alcohol, caffeine, stress, late meals — ranked with significance tests and effect sizes, not vibes.
Pick any two of your metrics and see how they really move together: overlaid trend, lag-matched scatter, regression fit, and the stats.
One dated narrative briefing: recovery, what's driving it, what changed, illness watch-outs, and today's insights — in plain language.
Your HRV, resting HR and recovery read in the context of your cycle phase — a luteal-phase bump is expected, not a red flag.
Set targets for the metrics that matter and track on-track / off-track status against your real data.
Log what you take, when, and how much. Cross-referenced against your biomarkers so you can see what's actually doing something.
Phase-aware analysis for menstrual health. HRV, mood, sleep, and energy mapped to your cycle so patterns make sense.
Training load, recovery debt, and workout impact on HRV and sleep — fed back into your readiness forecast automatically.
Your full health timeline in CSV and FHIR format. One click, immediate, even if you cancel. We don't hold your data hostage.
No hardware to buy. Sync from Oura, Whoop, Garmin, Apple Health, Levels CGM, and more — or upload a CSV if that's what you have.
Connect two sources, run the free tier for as long as you want. Upgrade when it clicks.