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Fullpower-AI is proud to see the Sleeptracker-AI platform represented across multiple research presentations at SLEEP 2026, the leading global sleep science conference.

These studies demonstrate what becomes possible when contactless, real-world sleep biosensing operates at true population scale: hundreds of thousands of individuals, tens of millions of nights, and objective longitudinal insights into how daily stress, seasons, daylight saving time, lifestyle behaviors, heat, and humidity shape sleep health.

At the core is Sleeptracker-AI: a validated, under-mattress, passive biosensing platform that captures sleep physiology continuously, without wearables, cameras, or user friction.

Equally important is KOA, Fullpower-AI’s Large Action Model analytics and orchestration layer. KOA transforms massive real-world datasets into structured, actionable insights for sleep medicine, clinical research, population health, and next-generation remote patient monitoring.

At SLEEP 2026, Sleeptracker-AI data is supporting UCSF and Stanford research across oral and poster presentations, including studies on 222,748 individuals, over 83,000 U.S. adults, and 24.2 million sleep nights.

This is the next era of sleep medicine: objective, longitudinal, real-world, AI-powered, and scalable.