Sleep.ai’s new release turns any smartphone into a passive sleep sensor, aiming to bring continuous, privacy-preserving sleep measurement to the majority of adults who do not use wearables.
Key takeaways:
- Sleep Sense uses AI and multimodal inference to detect sleep and wake patterns through existing smartphones without user effort or added hardware.
- The technology targets the 85% of adults who are not tracking sleep, aiming to shift the field from active monitoring to automatic, population-level measurement.
- Features include AI boundary detection, contextual modeling from nearly 1 billion hours of sleep data, and a privacy-preserving, GDPR- and ISO-compliant architecture.
- Sleep.ai positions the tool as a way for organizations to personalize programs, assess outcomes, and build new data-driven services without hardware costs.
- Sleep Sense launches as an API and SDK for use in health, wellness, consumer electronics, insurance, and digital therapeutics.
Sleep.ai, formerly SleepScore Labs, has launched Sleep Sense, a technology that turns any smartphone into a sleep sensor. Sleep Sense automatically gathers privacy-aware sleep data for nearly every user without requiring wearables, hardware, or manual input.
About 10% to 15% of adults consistently monitor their sleep through wearables or active tracking apps. This leaves about 85% of people who do not. Sleep Sense by Sleep.ai seeks to close this gap by shifting sleep measurement from active to automatic, providing comprehensive and continuous sleep data at the population level.
Sleep Sense uses a suite of artificial intelligence (AI), privacy-preserving design, and multimodal inference techniques to reliably detect sleep and wake patterns through the smartphone already in a user’s home.
Features include:
- Frictionless Tracking: Automatically detects sleep using phone-based inference. No setup, charging, or daily user action required.
- AI Boundary Detection: Hybrid spatio-temporal models pinpoint bedtime and wake time.
- Multimodal Contextual Modeling: Analyzes motion, light, and device usage patterns as well as models based on datasets with almost 1 billion hours of sleep to deliver robust insights even when data is sparse or noisy.
- Privacy-Preserving Architecture: Built with no audio recording, fully GDPR and ISO compliant, and designed for enterprise-level data safety and transparency.
“Sleep Sense is a major step forward for the entire health and wellness ecosystem. For years, it is clear that sleep is one of the most powerful predictors and influencers of overall health, yet it has never been measured at scale because it required specific wearables, hardware, or daily user effort. With Sleep Sense, we remove all of that friction. Every user with a smartphone can now be measured automatically and with scientific confidence,” says Colin Lawlor, founder and CEO of Sleep.ai, in a release. “Sleep Sense gives organizations the ability to personalize programs, understand risk, and demonstrate outcomes across nearly their entire population. It is the first time universal sleep sensing has been possible, and it sets a new standard for what companies can expect from sleep technology.”
Sleep Sense facilitates the:
- Delivery of personalization and recommendations to every user
- Assessment of study effectiveness and population outcomes
- Improvement of AI models with more representative and unbiased sleep data
- Reduction of the cost and complexity of integrating sleep tracking into products
- Creation of new data-driven services without requiring new hardware investment
“The system adapts to each user’s natural sleep-wake rhythm, uses multimodal signals to ensure accuracy, and performs reliably across a wide range of devices,” says Luke Gahan, head of data science at Sleep.ai, in a release. “For the first time, organizations can access scientifically sound sleep data for nearly their entire user base, which opens the door to more accurate models, better interventions, and truly personalized experiences.”
Sleep Sense is available immediately as an API and SDK integration for partners across health, wellness, consumer electronics, insurance, and digital therapeutics.
