Early Detection
Identify hidden sleep disturbances early
AI-Powered Sleep Stage Detection
Accurate . Continuous . Non-invasive
Our advanced AI model automatically detects wake, light, deep and REM sleep stages using multimodal physiological signals from wearable devices.
Advanced AI: Deep learning for temporal patterns
Multimodal Signals: PPG, motion and skin temperature
Edge & Cloud: Real-time on device or scalable in cloud
Understanding Sleep Architecture
Sleep cycles through distinct stages that play vital roles in physical recovery, memory, emotional regulation and overall well-being.
1
Wake
Awake Alert
2
Light Sleep (N1/N2)
Light sleep Restorative sleep
3
Deep Sleep (N3)
Body repair Recovery
4
REM Sleep (Rapid Eye Movement)
Memory consolidation Learning
Why It Matters
Accurate sleep stage detection enables early detection of sleep disorders, personalized recommendations, and better long-term health outcomes.
Personalized Insights
Tailored recommendations for better sleep
Better Outcomes
Improve recovery, health and quality of life
- Memory & Learning: Strengthens memory consolidation
- Physical Recovery: Supports tissue repair and immune function
- Emotional Well-Being: Regulates mood and reduces stress
- Performance: Enhances focus, energy and productivity
How Our AI Sleep Stage Detection Works
We combine advanced deep learning with multi-sensor physiological signals to understand the complex patterns of human sleep.
Data Collection
PPG, accelerometry, and skin temperature from wearables.
Signal Processing
Advanced filtering, artifact removal, and feature extraction.
AI Model Inference
Deep learning models analyze patterns and temporal dependencies.
Sleep Stage Output
Automatic identification of sleep stages in real-time.
Insights & Actions
Meaningful insights for better decisions, interventions & outcomes.
Data Collection
PPG, accelerometry, and skin temperature from wearables.
Signal Processing
Advanced filtering, artifact removal, and feature extraction.
AI Model Inference
Deep learning models analyze patterns and temporal dependencies.
Sleep Stage Output
Automatic identification of sleep stages in real-time.
Insights & Actions
Meaningful insights for better decisions, interventions & outcomes.
From Sleep Signals to Meaningful Insights
Clinical Applications
- ● Sleep disorder screening support
- ● Insomnia pattern detection
- ● Circadian rhythm analysis
- ● Longitudinal patient monitoring
Research Applications
- ● Digital phenotyping of sleep
- ● Large-scale cohort studies
- ● Biomarker discovery in sleep & psychiatry
- ● Remote patient monitoring studies
Personalized Insights
- ● Sleep quality beyond duration
- ● Recovery and fatigue estimation
- ● Behavioral and Lifestyle feedback
- ● Better daily performance and well-being
Digital Health Impact
- ● Early intervention opportunities
- ● Objective and continuous data
- ● Improved outcomes
- ● Elevated quality of life
Let’s Transform Sleep Into Better Outcomes
Partner with us to bring advanced sleep intelligence to more people, everywhere.
