AI-Powered Biosensing for Health,
Sleep & Longevity
Clinical and Medical Trials RPM
Successful Deployment: AnsibleHealth for COPD
AnsibleHealth, a pioneering virtual pulmonary practice, is proud to collaborate with Fullpower-AI, the frontrunner in AIoT contactless biosensing technology. This partnership aims to elevate patient care by seamlessly integrating state-of-the-art passive sensing technologies with a best-in-class clinical care model, ultimately significantly improving patient experience and health outcomes.
The Sleeptracker-AI platform for sleep science is validated in clinical studies with Stanford University, Division of Sleep Medicine, and UCSF
250+ Million (2+ Billion Hours)
Nights of High-Fidelity Sleep Data
30+ Parameters Monitored
Including BR, Breathing Anomalies (BAI), HRV, AQ, etc.
Stanford + UCSF
Validation
200K+
New Nights of Sleep / Day
70+
Research Studies
10+
Publications
50+
Scientists & Technologists
Polysomnography
Labeling & Validation
With AI and deep learning, we are on a mission to bring AI to the edge. Fullpower-AI® customers are in sleep tech, life sciences, health, wellness, home care, and biotechnology. According to IDC, in 2025, there will be 41.6 billion connected devices. That means 79.4 zettabytes of new data to feed our generative AI and deep learning models.
Download the Gold-Standard Polysomnography Stanford Sleep Medicine Validation (PDF)
Clinical Trials and Research
Sleep is one-third of patients' lives and an important component in clinical trials and research
Polysomnographic validation of the Sleeptracker-AI® solution in estimating sleep architecture and obstructive sleep apnea in adults, in collaboration with Stanford Sleep Medicine, as presented by Dr. Clete Kushida at the 2022 Sleep World Congress in Rome (Italy).
Featured in Sleep Medicine
Volume 96, August 2022, Pages 20-27
Highlights
- An under-mattress sleep monitoring device (Sleeptracker-AI Monitor) was compared with polysomnography (PSG).
- Sleeptracker-AI Monitor estimated comparable sleep measures and had high agreement in sleep stage classification with PSG.
- Sleeptracker-AI Monitor had high accuracy in estimating obstructive sleep apnea.
Reference: Ding, F., Cotton-Clay, A., Fava, L., Easwar, V., Kinsolving, A., Kahn, P., Rama, A., & Kushida, C. (2022). Polysomnographic validation of an under-mattress monitoring device in estimating sleep architecture and obstructive sleep apnea in adults.Sleep medicine, 96, 20-27.
Stanford validated and Peer-Reviewed
Read the entire publication at Science Direct:
https://www.sciencedirect.com/science/article/pii/S1389945722001368
Estimated Sleep-Wake Patterns Obtained From a Large U.S. Sample Using a Home-Based Under-Mattress Sleep-Monitoring Device
Featured in the Journal of Sleep Medicine
Volume 21(3), December 31, 2024
Highlights
- Recordings were obtained using an under-mattress sleep monitoring device (Sleeptracker-AI Monitor).
- Sleeptracker-AI Monitor estimated comparable sleep measures and had high agreement in sleep stage classification with PSG.
Reference: Ding, F., Zitser J., Cotton-Clay, A., Easwar, V., Kinsolving, A., Kahn, P., & Kushida, C. (2024).
Stanford validated and Peer-Reviewed
Read the entire publication at Journal of Sleep Medicine:
https://doi.org/10.13078/jsm.240020
Obstructive Sleep Apnea Detection and Prevalence in Men and Women Using a Continuous Large U.S. Sample by Home Under-Mattress Devices
Featured in
Sleep Medicine Online, September 16 2025
Highlights
- The prevalence of OSA is influenced by gender and age.
- Single-night sleep study may inaccurately classify OSA severity due to night-to-night variation.
- Home-based continuous sleep monitoring devices have the potential to enhance OSA diagnosis and address night-to-night variability.
- Sleeptracker-AI Monitor exhibits high sensitivity and specificity in diagnosing OSA during extended periods of continuous monitoring.
Reference: Wanchaitanawong, J., Cotton-Clay, A., Baron, S., Fava, L., Easwar, V., Kinsolving, A., Zitser J., Leng, Y., Kahn, P., & Kushida, C. (2025)
Stanford validated and Peer-Reviewed
Read the entire publication at Science Direct:
https://www.sciencedirect.com/science/article/abs/pii/S1389945725004836
AI-Powered Biosensing for Health,
Sleep & Longevity
Our mission is to make advanced AI biosensing universally accessible, empowering better sleep, Remote Patient Monitoring (RPM), and healthspan through real-time, science-validated intelligence.
Fullpower-AI® delivers real-time, science-based biosensing and generative AI SaaS platforms—validated with Stanford Sleep Medicine and UCSF and deployed globally under long-term commercial licenses.
Each platform transforms continuous, contactless sensing into actionable health intelligence.
Our mission is to make advanced AI biosensing universally accessible, empowering better sleep, Remote Patient Monitoring (RPM), and healthspan through real-time, science-validated intelligence.
Fullpower-AI® delivers real-time, science-based biosensing and generative AI SaaS platforms—validated with Stanford Sleep Medicine and UCSF and deployed globally under long-term commercial licenses.
Each platform transforms continuous, contactless sensing into actionable health intelligence.