Developing personalized health and fitness applications requires extensive data science resources to collect and analyze passive health data from smartphones and wearables. Aggregating and interpreting this data to generate meaningful insights on user behavior, mental state, and physical condition is complex and costly.

Sahha provides an API that simplifies the process of collecting and analyzing passive health data from smartphones and wearables, enabling developers to build personalized health and fitness applications without needing a dedicated data science team. The API aggregates data from various sources, including Apple Health, Google Health Connect, and wearable devices, and transforms it into actionable health scores and biomarkers. Sahha's proprietary machine learning models adapt to individual user health and lifestyle, providing insights into sleep, activity, well-being, and mental health. The platform also offers UI components for visualizing data and a dashboard for understanding cohort health trends.

API for collecting passive health data from smartphones and wearables

Integration with Apple Health, Google Health Connect, Oura Ring, Garmin, Whoop, and other sources

Generation of health scores across dimensions like sleep, activity, well-being, and mental health

Biomarkers that translate raw data into meaningful health measures

UI components for visualizing health data within applications

Real-time data streams for detailed and unprocessed data

Developer tools including mobile SDKs, REST API, webhooks, and developer analytics

Dashboard for understanding cohort health trends and aggregated patterns

The primary customers are developers and companies in the fitness, coaching, health insurance, health apps, employee wellbeing, and AI health industries who need to build personalized and data-driven applications.