Evidence-based with unmatched precision: Because everyone can learn to sleep well
Put on chest sensor, go to sleep: the sleep² artificial intelligence-based algorithm calculates sleep stages based on heart rate variability - and is almost as accurate as a regular sleep lab, where much more body data is measured. Also new: the combination of sleep analysis and sleep training based on current research findings.
Scientific research as basis and guideline
Science is an elementary part of sleep² and the basis for further development: Through the connection to research, we can continuously improve sleep analysis and sleep training and keep them up-to-date.
Scientific competence and care
Interdisciplinary team around Prof. Manuel Schabus
Mathematicians, therapists, sleep researchers: Many scientific minds have contributed to the success of sleep². Since the first day, we have seen science as the essential core of our concept.
Research at the Paris Lodron University of Salzburg
sleep² was founded as a spin-off of the University of Salzburg and cooperates with the research institution. The know-how bundled here is our greatest asset and an important basis for success.
New knowledge, new studies
Since the development of sleep², many new studies have been conducted. The goal: to learn more about sleep problems, the status quo of sleep problems and to measure progress made.