About
Sleeptracker-AI is an enterprise-grade, clinically validated SaaS platform developed by Fullpower-AI for sleep medicine, remote patient monitoring (RPM), and clinical trials. Independently vetted by Stanford Medicine and UCSF, the platform has accumulated over 250 million nights of high-fidelity sleep data, monitoring 30+ parameters including breathing rate (BR), apnea-hypopnea index (AHI), arousal index, heart rate (HR), heart rate variability (HRV), and air quality (AQ). At its core is KOA LAM (Knowledge Organizational Architecture Large Action Model), a next-generation real-world health intelligence engine built on 2+ billion biosensing datapoints from users in 140+ countries. KOA LAM pairs physiological signals—heart rate, breathing, motion—with environmental context like temperature and air quality to deliver continuous, real-time insights for preventative medicine and longitudinal research. The platform supports three business models: CRO (Contract Research Organization), B2B Licensing, and Platform-as-a-Service (PaaS). Access is provided via a real-time API and a no-code RPM dashboard, making it suitable for both technical and clinical teams. Digital twin technology creates dynamic replicas of users and their environments to proactively optimize conditions for sleep, recovery, and performance. Sleeptracker-AI is used by 50+ scientists and technologists, has contributed to 70+ research studies and 10+ publications, and has been presented at SLEEP 2024 and Sleep Europe 2024. It is the go-to platform for health systems, research institutions, and medtech companies seeking scalable, science-backed sleep intelligence.
Key Features
- 30+ Physiological Parameters Monitored: Tracks breathing rate, AHI, arousal index, heart rate, HRV, and more in real-time using contactless, non-invasive biosensing technology.
- KOA Large Action Model (LAM): Proprietary AI model trained on 2+ billion biosensing datapoints from 140+ countries, enabling real-world health intelligence and sense-and-response capabilities.
- Real-Time API & No-Code RPM Dashboard: Flexible dataset access via a real-time API for developers or a no-code remote patient monitoring dashboard for clinical teams.
- Digital Twin Technology: Creates dynamic digital replicas of users and their environments to proactively optimize sleep conditions, recovery, and long-term health outcomes.
- Clinical Validation by Stanford & UCSF: Platform accuracy and insights are independently vetted by Stanford Medicine and UCSF, with findings published across 10+ peer-reviewed studies.
Use Cases
- Sleep medicine clinics using the platform to remotely monitor patients' AHI, arousal index, and breathing rate without requiring in-lab polysomnography.
- Clinical research organizations (CROs) running sleep-related drug or device trials using the real-time API and validated dataset for objective endpoints.
- Health technology companies licensing the KOA LAM model and biosensing infrastructure to build next-generation sleep and wellness products.
- Hospital systems deploying the no-code RPM dashboard to track post-discharge patients' sleep and cardiovascular metrics for early intervention.
- Academic research institutions accessing anonymized sleep datasets from 250M+ nights to conduct large-scale epidemiological and longitudinal health studies.
Pros
- Gold-Standard Clinical Validation: Independent validation by Stanford Medicine and UCSF, plus 70+ research studies and 10+ publications, gives the platform exceptional scientific credibility.
- Massive Real-World Dataset: Over 250 million nights of sleep data and 2+ billion biosensing datapoints power highly accurate, population-level insights and benchmarking.
- Flexible Deployment Models: Supports CRO, B2B Licensing, and PaaS models, making it adaptable for health systems, research institutions, and medtech companies.
- Contactless & Non-Invasive: Real-time monitoring without wearables or direct contact makes it practical for large-scale deployment in homes and clinical settings.
Cons
- Enterprise-Focused Pricing: Designed for B2B and institutional clients; there is no self-serve free tier, making it inaccessible to individual researchers or small teams with limited budgets.
- Requires Hardware Integration: Full functionality depends on compatible commercial biosensors and smart bed ecosystems, adding complexity and cost to deployment.
- Niche Domain Focus: The platform is purpose-built for sleep medicine and biosensing, limiting its applicability to broader general-purpose health or wellness use cases.
Frequently Asked Questions
What is Sleeptracker-AI used for?
Sleeptracker-AI is used for sleep medicine, remote patient monitoring (RPM), and clinical trials. It monitors 30+ physiological parameters in real-time to support physicians, researchers, and health enterprises.
Who validated the Sleeptracker-AI platform?
The platform has been independently validated by Stanford Medicine and UCSF, and its research has been presented at major conferences including SLEEP 2024 and Sleep Europe 2024.
What is KOA LAM?
KOA LAM (Knowledge Organizational Architecture Large Action Model) is Fullpower-AI's proprietary health intelligence model trained on 2+ billion biosensing datapoints. It detects physiological events in real-time and triggers personalized health responses.
How does Sleeptracker-AI collect data without contact?
The platform uses real-time, contactless, non-invasive biosensing technology integrated into commercial sensors and smart beds to monitor parameters like breathing rate, heart rate, and motion during sleep.
What business models does Sleeptracker-AI support?
The platform supports three models: CRO (Contract Research Organization) for clinical trials, B2B Licensing for enterprise integrations, and PaaS (Platform-as-a-Service) for building custom health applications.
