Most recovery apps hand you a vague nudge. Vitra Health grounds its alerts in published research: every flag links a metric to the rule behind it and the study it draws from, then applies it to your Oura data — computed locally, in plain English.
“Consider easing off” isn't advice — it's a shrug. Vitra aims for the opposite: a concrete action with a reason you can check. Instead of a mood, you get something like “cut training intensity for a couple of days” tied to the signal that triggered it and the paper behind the rule.
How it works
- Rules from papers
- Alerts are derived from peer-reviewed research across HRV, resting heart rate, body temperature, sleep, training load and cardio fitness.
- Cited, not vague
- Each flag carries a citation and a concrete action — you can look up the source.
- Applied to your data
- The science is general; the personalisation comes from your own rolling baselines.
- No black-box LLM
- Vitra's 'AI' is research rules + statistics, not a large language model. Nothing leaves your machine.
- Honest about uncertainty
- Confidence is shown, and Vitra stays quiet on nights with insufficient data rather than inventing a verdict.
See the methodology
Trust comes from transparency, not branding. The methodology page lists every metric Vitra computes, the rule or statistic behind it, and the published study it draws from — so you can audit the reasoning yourself.
Frequently asked
What makes Vitra's advice 'research-backed'?
Vitra's alerts are grounded in published studies rather than generic copy. Each flag links the metric it watches to the rule or statistic behind it and the paper it draws from. The full list lives on the methodology page.
Does Vitra use AI to give advice?
Not a large language model. Vitra's 'AI' is a set of research-derived rules plus your own rolling baselines, computed locally. No health data is sent to any external AI service.
Can I see the studies?
Yes. The methodology page lists every metric Vitra computes, the rule or statistic behind it, and the published study it draws from — across HRV, resting heart rate, body temperature, sleep, training load and cardio fitness.
How is the advice tailored to me?
Rules give the science; your data gives the personalisation. Vitra applies each research-grounded rule against your personal baselines, so the action you get reflects your numbers, not a population's.
Where does the computation happen?
On your machine. Your data and baselines stay local — no cloud account, no shared model.
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