Better SleepBetter LivesBetter Business
Insights at Scale Improve Health Drive Growth
Movement
Sound-based detection picks up tossing, turning, and micro-awakenings without asking you to wear anything on your wrist or body all night.
Coughing
The SDK naturally identifies and timestamps coughing episodes that can signal irritation, illness, or poor air quality.
Breathing
It provides breathing-related insights without the discomfort of chest straps or dedicated respiratory devices.
Snoring
Detect and quantify snoring patterns on both sides of the bed, revealing how often and how intensely each partner snores.
Noises
Environmental noises such as traffic, pets, or household sounds are automatically logged and aligned with your sleep timeline.
The World's Most Trusted Sleep Data Platform
15 Years of Sleep Science
World's Largest Dataset
Lab-Grade Precision
Now available for You
The World's Leading Sleep Data Partner
Sleep Science at Scale
Every night, more than a million people trust Sleep Cycle to understand and improve their rest. Across 15 years and 75 million downloads, that trust has built something extraordinary: the world’s largest sleep intelligence database, with over 3 billion nights of analyzed data. But data alone doesn’t create insights. Our scientists turn numbers into knowledge, transforming society at scale through scientific partnerships with leading universities. When you work with Sleep Cycle, you gain access to the most comprehensive sleep data resource on Earth. Science with purpose, applied at scale.
Flexible integration. Deploy audio identification as standalone data. Add sleep analytics.
Or use complete feature modules. Match the SDK to your needs.
SLEEP SCIENCE
Lab-Grade Sleep Tracking, Anywhere.
Sleep Cycle's audio-based technology transforms any smartphone into a precision sleep lab. Using only the device's built-in microphone, our SDK measures sleep duration, latency, timing, efficiency, sleep stage dynamics, and variability. All with clinical-grade accuracy.
This innovation brings validated sleep tracking to scale. Individuals gain detailed nightly reports. Partners gain a seamless way to embed validated sleep insights into any digital product or ecosystem.
It is the technology that redefined what sleep tracking could be, and today, it powers the next generation of health intelligence.
UNIQUE TRAINING DATA
A Data Set of 15 Million Verified Sleep Samples
Most AI sleep models are trained on thousands of samples, and can potentially match expert-level performance for typical adult sleepers. The real challenge lies in the long tail, encompassing individuals with conditions such as apnea or insomnia, as well as users on various devices or firmware. Moving up to 15 million samples means these rare patterns appear hundreds or thousands of times rather than just dozens, giving the model enough exposure to perform consistently across all these subgroups rather than just performing well on average.
For SDK partners, this distinction translates directly into risk reduction. A model trained on a larger number of nights means fewer surprises in production, fewer support escalations about edge cases, and the ability to confidently roll out to an entire user base rather than just the easy cases.
Health &
Wellness Apps
User Engagement with Validated Sleep Analytics
These apps can integrate Sleep Score and Smart Alarm features to correlate sleep data with mood, nutrition, and fitness metrics while offering personalized sleep hygiene recommendations. This provides differentiation in crowded markets and drives user retention through habitual bedtime and morning interactions without requiring new hardware.
Health Benefit
Providers
Enable Scalable Risk Detection and Preventive Care
Use sleep-based risk profiling to track population-level sleep quality as a proxy for stress and recovery, informing preventive programs and targeted interventions. This offers a scalable, low-friction health signal for early risk detection that can reduce claims costs without requiring wearables.
Healthcare
Organizations
Extend Clinical Reach with Remote Sleep Monitoring
Healthcare providers can integrate the SDK for remote sleep assessment and detection of abnormal patterns indicative of conditions like sleep apnea or asthma. This delivers non-invasive, continuous clinical data that enables early screening and reduces reliance on costly sleep lab diagnostics.
Health-Conscious
Employers
Support Workforce Resilience Through Actionable Insights
Employers can embed sleep insights into corporate wellness platforms to provide personalized rest recommendations and run anonymized campaigns correlating sleep with productivity and burnout risk. This promotes sustainable workforce performance while delivering measurable well-being KPIs for ESG reporting.
Public Health
& Policy
Drive Population Health Strategy with Real-Time Sleep Data
Public health agencies can monitor population sleep trends to identify demographic or seasonal health disparities and support sleep-focused education initiatives. The aggregated, privacy-safe data enables real-time insight into population behaviors and supports data-driven health policy development.
Tech Innovators
& Manufacturers
Accelerate Product Differentiation
Device makers can integrate the SDK into smart speakers, phones, or home health hubs, combining it with environmental sensors for context-aware sleep insights. This extends devices into passive health sensing while reducing R&D costs through access to pre-trained, validated sleep models.
Researchers &
Academia
Unlock Large-Scale Sleep Research Without Wearables
Researchers can access anonymized sleep data streams for longitudinal studies on recovery, aging, circadian rhythms, and correlations with chronic conditions. This provides scalable, ecologically valid data collection in real-world environments and access to one of the largest validated sleep audio datasets globally.
PARTNER HIGHLIGHTS
Sleep Cycle Partnerships
Ultra Human
We are always on the lookout for the most advanced and reliable technologies to strengthen our offering and improve users wellbeing.
Revolut
Integrating Sleep Cycle strengthens our brand association and fosters better sleep habits. Promoting holistic health and productivity for our customers.
HelloFresh
Partnering with Sleep Cycle felt like a natural fit, inspiring busy people to make healthier choices from the moment they start their day—including what they'll cook for dinner.
Wellhub
By giving more employees access to sleep improvement tools, we know our clients will see better performance both at work and elsewhere in life.
Business Partner
Grow Through the Power of Sleep
Partner with Sleep Cycle to transform better sleep into deeper brand connection. Together, we help people rest well, and help brands build trust, loyalty, and long-term engagement across our million-plus daily users.
Partnership Opportunities
- Co-Marketing Programs. Align your brand with sleep wellness through joint campaigns and content.
- Bundled Premium Subscriptions. Offer Sleep Cycle Premium as a value-add for your customers.
- In-App Activations. Reach engaged users through native placements and sponsored features.
Data Partner
Transform Sleep Data into Health
Sleep Cycle offers secure data partnerships powered by the world's largest sleep dataset: 3.4 billion sessions from 180+ countries. Partners access aggregated, anonymized insights into sleep patterns, recovery, and responses to environmental and societal shifts. From population research to predictive analytics for insurers and public health agencies, we deliver science-grade data with enterprise-grade privacy. GDPR and CCPA compliant.
Data Opportunities
- Access real-time privacy-preservered and aggregated population coughing and breathing data.
- Co-research programs.
SLEEP APNEA WHITE-LABEL
Clinical-Grade Sleep Apnea Screening
Traditional sleep apnea tests require sensors and complex setup. Sleep Cycle uses only a smartphone microphone to deliver clinically validated, contactless screening. Our white-label platform lets partners offer accessible screening under their own brand, and as we pursue FDA and MDR clearance, we're poised to expand sleep health access. No clinics or wearables required.
Data Opportunities
- Become a Priority Launch Partner for Sleep Apnea white-label solution.
The Research Team
Dr. Mikael Kågebäck
Holds a Ph.D. in Machine Learning and AI from Chalmers University of Technology in Gothenburg and leads the technical direction at Sleep Cycle. His expertise spans cutting-edge research in deep neural networks, advanced signal processing, and system architecture—driving innovation in sleep technology for millions of daily users. With a strong foundation as both a researcher and seasoned software engineer.
Dr. Kågebäck plays a key role in shaping the future of sleep health through intelligent, data-driven solutions.
Dr. Mike Gradisar
A Clinical Psychologist, research scientist, and internationally recognized sleep expert with over two decades of experience in sleep research and therapy. As the Head of Sleep Science at Sleep Cycle, he combines his passion for statistical sleep insights with practical knowledge to create actionable strategies that help people improve their sleep.
Dr. Emil Carlsson
Emil Carlsson, PhD, is a Research Scientist at Sleep Cycle, specializing in reinforcement learning and decision-making under uncertainty with a focus on developing reliable data-driven decision-making systems. He spent two semesters as a researcher at UC Berkeley and holds a PhD from Chalmers University of Technology.
He has published multiple times at leading conferences such as NeurIPS, exploring everything from AI-driven decision-making to models in the intersection of Cognitive Science and AI.
Emilio Jorge
Holds a Licentiate degree in Machine Learning and AI from Chalmers University of Technology in Gothenburg, with a strong foundation in mathematics. His research spans both theoretical work on sequential decision-making and applied projects in areas such as fleet-wide GPS data analytics and smart manufacturing.
Combining analytical rigor with hands-on engineering, he contributes to advancing intelligent, data-driven solutions that turn complex challenges into impactful technologies.