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Sleep.ai Launches Sleep Sense: Turn Any Smartphone into a Precision Sleep Tracker

by Syed Hamza Sohail 12/10/2025 Leave a Comment

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What You Should Know:

–  Sleep.ai, the company behind the world’s most validated sleep intelligence platform, today announced the launch of Sleep Sense, a groundbreaking technology that turns any smartphone into a seamless, privacy-aware sleep sensor. 

–  Sleep Sense automatically gathers sleep data for nearly every user without requiring wearables, hardware, or manual input.

New foundation for sleep-driven health insights—no wearables, no friction, population-wide reach.

Sleep remains one of the strongest predictors of long-term health, day-to-day performance, and overall well-being—yet it is also one of the least consistently measured. Even as wearables become mainstream, only a small fraction of adults track their sleep regularly, leaving most people without meaningful insights and leaving healthtech organizations without the data needed to personalize care or validate outcomes. Sleep.ai’s new platform, Sleep Sense, is designed to close this long-standing gap by delivering nightly sleep measurement to nearly every user automatically, with no hardware purchase, no wearable dependency, and no daily user action required.

Sleep.ai has emerged as one of the most advanced sleep intelligence companies globally, powered by nearly one billion hours of proprietary sleep data and supported by more than 250 scientific studies. In 2024, the company captured international attention with the launch of Dein Schlaf, the world’s first reimbursed sleep-improvement app under Germany’s preventative health framework. That milestone helped accelerate interest from major insurers and highlighted the growing demand for validated, accessible sleep-health tools. Sleep Sense builds on this momentum by solving the industry’s largest blind spot: scalable, low-friction measurement.

The challenge is vast. An estimated four billion people wake up tired each week, yet only 10 to 15 percent of adults consistently monitor their sleep using wearables or tracking apps. That leaves roughly 85 percent of consumers without usable sleep data—limiting personalization, slowing scientific progress, and hampering companies’ ability to understand risks or measure program effectiveness. Sleep Sense shifts sleep monitoring from active to automatic, enabling continuous, population-level sleep detection through the smartphone users already own.

Sleep Sense uses advanced AI, privacy-preserving design, and multimodal inference techniques to detect sleep and wake patterns without requiring audio recording or sensitive data capture. Its frictionless approach automatically infers sleep from signals such as device motion, light exposure, and usage patterns, supported by large-scale models trained on nearly one billion hours of sleep data. Hybrid spatio-temporal boundary detection accurately identifies bedtime and wake time, offering a level of confidence comparable to trackers validated against PSG while removing the operational burden of charging, syncing, or learning new hardware. All systems are GDPR- and ISO-compliant, designed so that nothing from inside the bedroom is recorded or transmitted.

“Sleep Sense is a major step forward for the entire health and wellness ecosystem,” said Colin Lawlor, Founder and CEO of Sleep.ai. “Sleep has always been one of the most powerful determinants of overall health, but until now it has never been measured at scale because of the reliance on wearables or daily user effort. With Sleep Sense, every smartphone becomes a sleep-sensing device. Organizations can finally personalize programs, understand risk, and measure outcomes across nearly their entire population.”

By removing friction and enabling near-universal measurement, Sleep Sense opens new possibilities for digital health, wellness, insurance, AI modeling, and consumer-experience design. Organizations can personalize recommendations for every user, evaluate program effectiveness at scale, strengthen AI models with representative and unbiased sleep datasets, and build new data-driven services without investing in proprietary hardware ecosystems.

By transforming the smartphone into a universal sleep sensor, Sleep.ai is reframing how sleep can be measured, studied, and improved. Sleep Sense establishes a foundation for scalable personalization and validated outcomes—setting a new benchmark for what health and wellness companies can expect from sleep technology.

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