Awake Labs
Awake Labs provides a smartwatch-based monitoring system that continuously tracks physiological signals to help care teams supporting individuals with behavioral or emotional challenges. The system uses a clinically validated algorithm to establish personalized baselines and sends real-time alerts through a mobile app during early stages of increased arousal, enabling proactive intervention. Trusted by 25+ care organizations, the platform also includes a dashboard with time series and scatterplot graphs for observing arousal patterns and informing support plans.
- Healthcare Technology
- Internet of Things
- Medical Devices
- Digital Health
- Hardware
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Care teams supporting individuals with behavioral or emotional challenges often lack objective, real-time data on physiological states, relying on subjective observation that can miss early signs of distress. This leads to delayed interventions and an over-reliance on intrusive measures that reduce independence and quality of life.
Solution
Awake Labs provides a smartwatch-based monitoring system that continuously tracks physiological signals and uses a clinically validated algorithm to establish a personalized baseline for each individual. The system detects real-time changes in stress and strong emotions, sending alerts through a mobile app during the early stages of increased arousal. This enables care teams to intervene early, helping to regulate emotions before they escalate. The approach reduces the use of intrusive measures, increases individual independence, and improves overall quality of life while also improving staff safety.
Target Audience
Primary users are care organizations, including behavioral health providers, disability support services, and residential care facilities, along with the direct support professionals, behavior analysts, and care managers within these organizations.
Features
- Smartwatch equipped with a clinically validated algorithm that captures a personalized physiological baseline for each user
- Real-time monitoring of physiological changes associated with stress and strong emotions
- Mobile app delivering notifications during early stages of increased arousal, enabling proactive intervention
- Dashboard with aggregated arousal data displayed in time series and scatterplot graphs for pattern and trend analysis
- Objective data collection that provides measurable insights for care planning and documentation
- Flexible pilot program structure designed to let care organizations test impact before broader deployment