Insights & Trend Detection
Find what is changing before your users have to.
WearSightful can help applications identify meaningful trends, changes and patterns across longitudinal health data. Use evidence from a user’s own history to create more relevant experiences.
- Positive and negative trends
- Sudden changes
- Personal baseline deviation
- Behavioural correlations
- Evidence-backed insight generation
- Configurable confidence and thresholds
From evidence to experience
Example: A user tags several nights as “travel”. WearSightful can help your application compare sleep and recovery on travel nights against the user’s normal baseline, identify a pattern and deliver a personalized insight.
Build on the data your users already generate.
Connect your product to wearable and health data with one platform designed for developers, product teams and modern digital health applications.