1. Fullpower Care's AI assesses sleep, creating a Fall Risk Index (FRI) that's derived from all the health measures (heart rate, respiration rate, sleep metrics, HRV etc)
2. Real-time out-of-bed alerts during the night when the patient has been out of bed longer than a configurable time.

1. Improved Quality of Care
2. Real-time dashboard helps reduce unnecessary overhead
3. The Fall Risk Index is an important metric
4. Retrospective AI-powered Sleep Analysis over time helps increase the quality of life

The Sleeptracker-AI® Platform is a no-contact, under-mattress sensing and cloud-analytics system developed by Fullpower Technologies, Inc. It continuously and automatically tracks key physiological and sleep metrics — including heart rate, respiration rate, sleep stages (awake, light, deep, REM), heart-rate variability (HRV), and breathing disturbances — without requiring the user to wear any device.

The platform's AI engine learns individual sleep patterns over time to deliver personalized insights and coaching through a companion app. Clinically validated against gold-standard polysomnography and independently verified in collaboration with Stanford Medicine and UCSF, Sleeptracker-AI combines medical-grade accuracy with a seamless, consumer-friendly experience.

The integration occurs through smart bed bases or mattresses equipped with built-in Sleeptracker-AI® sensors. These ultra-sensitive sensors sit discreetly beneath the mattress and connect via Wi-Fi, requiring no wearable device or user intervention. After a simple plug-and-play setup, the bed, sensors, and companion app form a complete smart-sleep ecosystem: you sleep naturally, the system automatically records your data, and each morning the app displays your personalized sleep metrics and Sleep Score.

Because the technology is fully embedded within the bed and base, it delivers a seamless consumer experience—combining comfort, convenience, and advanced sleep-health monitoring. The platform also features Sense-and-Respond™ snore management, which automatically adjusts the bed's geometry to help reduce snoring and breathing disturbances. In addition, its Relax Mode assists users in falling asleep faster, maintaining deeper sleep, and waking up refreshed each morning.

• Fully contactless monitoring: No wearable devices, no nightly setup. Invisible sensors under the mattress automatically capture data every night.
• Comprehensive sleep metrics: Continuously tracks respiration rate, heart rate, sleep stages (awake, light, deep, REM), sleep efficiency, time to fall asleep, and more.
• AI-driven insights: The adaptive AI engine learns each sleeper's unique patterns and delivers personalized tips, alerts, and coaching through the companion app.
• Clinically validated accuracy: Independent studies confirm high precision in estimating sleep architecture and detecting breathing disturbances, benchmarked against gold-standard polysomnography. Stanford Medicine and UCSF validated.
• Effortless setup & compatibility: Works with any standard mattress—innerspring, foam, or hybrid. The self-install version supports dual sleepers and even accounts for pets under typical conditions.
• Research & clinical applications: Designed not only for consumers but also for large-scale remote monitoring, event detection, and seamless integration with clinical dashboards—ideal for home care, telehealth, and clinical trials.

Key capabilities include:

• Edge intelligence: Real-time signal processing from under-mattress sensors or embedded microcontrollers.
• Secure cloud infrastructure: ISO 27001-certified architecture ensuring privacy, compliance, and global scalability.
• API interoperability: Seamless integration with OEM dashboards, healthcare systems, and digital-health platforms.
• Continuous AI learning: Scalable machine-learning pipelines trained on one of the world’s largest clinically validated sleep datasets.

For OEMs:
Fullpower enables licensing and white-label integration of its AIoT modules and SDKs, allowing partners to build sensor-enhanced beds and wellness devices with embedded AI capabilities—such as snore detection, posture analysis, and adaptive comfort optimization.

For healthcare and in-home care providers:
The platform unifies networks of smart wearable and non-wearable devices into a single AIoT monitoring ecosystem—tracking patient vitals, sleep quality, and behavioral patterns remotely while providing real-time alerts and insights through secure cloud dashboards.

For research and clinical trials:
Fullpower's AIoT architecture supports continuous, large-scale data collection across distributed populations, delivering standardized, validated metrics and analytics without requiring in-lab instrumentation or wearable sensors.