Sleeptracker-AI®

Categories: Healthcare, Data Analysis, Productivity | Pricing: Freemium | Official Website ↗

Sleeptracker-AI® is a clinically validated SaaS platform that uses AI and biosensing for remote, contactless sleep monitoring and analysis in medicine and clinical trials.

Sleeptracker-AI® is a SaaS platform developed by Fullpower-AI, specializing in sleep medicine, remote patient monitoring (RPM), and clinical trials. It leverages AI-powered biosensing technology for real-time, contactless, and non-invasive monitoring of sleep and environmental data. The platform is clinically validated by institutions like Stanford Medicine and UCSF, and its accuracy in determining sleep stages and aiding in sleep disorder identification is comparable to gold-standard polysomnography (PSG). The platform utilizes a Knowledge Organizational Architecture (KOA) Large Action Model (LAM) built on billions of biosensing datapoints, integrating physiological data (heart rate, breathing, motion) with environmental context (temperature, air quality, humidity). It offers a no-code RPM dashboard and a real-time API for data access, supporting continuous monitoring, early detection of issues, and data-driven insights for practitioners. Sleeptracker-AI® also employs digital twin technology to create dynamic replicas of users and their environments, optimizing conditions for rest and recovery. Sleeptracker-AI® is designed for various healthcare practitioners, including those in sleep medicine, primary care, pulmonology, cardiology, neurology, psychiatry, endocrinology, sports medicine, and pediatrics. It facilitates continuous care and clinical trials by providing objective data, enabling personalized interventions, and enhancing patient compliance and empowerment.

Key Features

Real-time, contactless, non-invasive sleep monitoring
AI-powered sleep stage analysis and disorder identification
Clinician/research no-code dashboard with triggers and event alerts
Integration of physiological and environmental data
Digital twin technology for personalized health optimization
Real-time API for cloud-to-cloud integration
Continuous data integration from wearables and biosensors
Personalized simulation and prediction for health interventions

Pros

Clinically validated by Stanford Medicine and UCSF for accuracy
Completely non-invasive and contactless monitoring
Provides continuous, real-time, and long-term patient data
Supports early detection of health issues and timely intervention
Reduces need for in-person visits and overnight sleep studies

Cons

Pricing information is not publicly available
Requires integration with specific biosensing devices (e.g., smart beds)
Focus is highly specialized on sleep and health, not general AI
No explicit mention of a free trial for practitioners
Limited information on direct user interface for patients beyond data viewing

Use Cases

Assisting in the management of sleep disorders
Monitoring sleep-related issues in patients with chronic conditions
Supporting large-scale studies on sleep, recovery, and wellness
Optimizing recovery and performance for athletes
Tracking sleep disturbances in pregnant patients or during menopause

Best For

Sleep medicine practitioners
Clinical researchers
Healthcare providers managing chronic conditions
Organizations conducting clinical trials
Age-Tech providers

Integrations: Apple Health, Apple Watch, Pixel Watches, Samsung Watches, Android Health Connect

Platforms: Web

Watch demo on YouTube ↗

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