World Class Sleep Science & Research – Redefined.
At Sleep AI, we pride ourselves on industry-leading sleep & circadian science and R&D that is revolutionizing the health & wellness industry. We bring clinical precision into everyday life – built by leading sleep scientists from ResMed, Apple, Philips, Johnson & Johnson, and Harvard. Our commitment to rigorous science ensures our sleep measures are accurate, insights are trustworthy, and recommendations are impactful.
0
Years of sleep data & science experience
0
Million hours of real-world sleep & lifestyle data
0
Clinical sleep intervention studies
0
Scientific publications in leading journals
0
Sleep markers assessed
0
sleep technology in the world to be reimbursed
From Measurement to Coaching – A Fully Validated Sleep Technology Stack
Every solution that reaches our partners has been scrutinized through rigorous real-world evaluation, often across a range of populations including healthy, sub-clinical, and sleep disordered individuals. From contactless sensing hardware to scalable digital coaching, the Sleep AI portfolio is built on science you can trust and validation you can verify.
SleepScore Max – Contactless, Clinical Grade Accuracy
Noncontact biomotion monitor utilizing ultra low power radiofrequency. Accuracy assessed in 13+ independent performance studies demonstrating >90% accuracy.
SleepScore App – Smartphone Sonar App
Converts smartphone into an active sonar device allowing for robust sleep staging. To date, it’s the only widely available mobile sleep app with performance compared against gold standard polysomnography showing 85 %+ overall accuracy.
Foundation Model & Sleep Data API – Wearable Free, Complete Coverage
Without wearables, our foundational model leverages phone-derived data to deliver estimation of sleep, with a time in bed accuracy of >95%.
Sleep Disorder Screening
Leveraging advanced algorithms backed by over two decades of research, our sleep disorder screener API efficiently screens for major sleep disorders. Results are delivered via risk score and guidance to connect with a clinician if indicated.
Digital Sleep Improvement Program – Evidence Based Coaching at Scale
Data without action can be noise. Our Coaching API distills nightly signals into personalized, actionable guidance grounded in the latest sleep and behavior change science. A randomized controlled trial in 400+ participants, published in the Journal of Sleep Research, showed that users of reported significant improvements in perceived sleep quality and overall sleep problems, earning the world’s first reimbursement for a digital sleep technology.
Powering Breakthrough Health Research Worldwide
Sleep AI powers breakthrough discoveries in sleep and circadian health through deep collaborations with world-renowned research institutions. Our validated technology and expansive data infrastructure have supported studies in oncology, chronobiology, mental health, and behavioral science – fueling evidence that’s shaping the future of health & wellness.
In Practice:
- Cancer Research: SleepScore Max data used to associate sleep disturbance with advanced cancer diagnosis and immunotherapy outcomes (Lemke et al., 2022).
- Insomnia Detection: SleepScore Max shown to objectively discriminate chronic insomnia from healthy controls (Hansen et al., 2021).
- Social Jetlag & Public Health: SleepScore App used in big data research to measure social jetlag across the lifespan (Gottlieb et al., 2023).
Publishing what we preach
Subheadline: We believe science is only as strong as it is shareable. That’s why our team has authored over 90 scientific publications and conference abstracts since 2020, spanning population sleep health, digital interventions, and the validation of non-contact measurement technologies. We publish not just to validate, but to shape the future of how sleep is understood, improved, and applied.
Our publications span:
- Population sleep health, chronobiology, and big data
- Non-contact biomotion sensing validation
- Sleep improvement product validation
- Behavioral sleep improvement program efficacy
- Consumer sleep technology position statements
