Vigil watches your heart rate and heart rate variability during high-stakes work, learns your own baseline, and taps your wrist when your physiology shifts. It says one word: RESET.
It is an instrument, not a wellness app. It does not calculate a stress score, show you a gauge, or tell you to relax. It reports one thing, at the moment it matters, and otherwise stays out of the way.
Currently in closed beta
Sympathetic activation raises heart rate and suppresses heart rate variability — and it does so before you notice. That pre-conscious window is the whole point.
Neither signal is trustworthy alone. Heart rate rises when you climb stairs. So Vigil requires the pattern: heart rate elevated and variability suppressed, both relative to your own baseline, both sustained. Then it taps you.
Under load, information is a cost. Telling a surgeon mid-procedure that their variability has fallen is not help — it is a second thing to deal with. So the screen says the one word that is actionable, and nothing else. The numbers wait until the debrief, where they become insight instead of interference.
Vigil has no network layer at all. No accounts, no analytics, no third parties, no servers. Nothing is uploaded, because there is nowhere for it to go.
We cannot see your data. We never had it.
Vigil is not a medical device. It does not diagnose, treat, or monitor any condition, and it must not be used as the basis for a clinical or operational decision. Consult a clinician for medical decisions.
Vigil reports deviation from your own baseline, not an absolute physiological measurement. Its detection thresholds have not been clinically validated. The absence of an alert means nothing — it does not mean you are calm, rested, or fit to proceed.
It is a training and self-awareness instrument. Nothing more, and we will not claim more until research earns it.
Vigil is designed to become a human-performance research platform. Every architectural decision prioritises trustworthy science over impressive features. Sessions are provenance-stamped, data quality is measured rather than assumed, and the export engine refuses to emit a dataset without ethics approval or with a cohort small enough to re-identify.
If you are an investigator at a hospital, university, defence organisation or emergency service and want to run a study, get in touch.