Momentum Unifies Wearable Data With Open API for Health Context and Intelligence
- Open-source API transforms fragmented wearable inputs into structured, context-aware health intelligence.
- Self-hosted platform normalizes signals from 200+ devices, with support for HIPAA-ready deployments.
Momentum has launched Open Wearables, an open-source API built to turn fragmented wearable data into structured health intelligence. The platform unifies inputs from different devices into a single, context-aware system. Momentum says it enables developers to “build personalized wellness experiences in days instead of months.”
Open Wearables processes inputs from over 200 devices, normalizing data on sleep, activity, biometrics, and recovery into a consistent schema. It replaces the need to integrate multiple SDKs, handle different OAuth flows, and clean up messy formats. The open-source API runs entirely on self-hosted infrastructure, which gives teams full control over their data. It also includes AI-ready endpoints that can power things like insights, scores, or chatbots. The platform currently supports integration with Garmin, Polar, Suunto, and Apple Health, with additional platforms expected from the open-source developer community. When deployed with the right infrastructure, it offers a HIPAA-ready setup with encryption, access controls, and audit logging for clinical use.
The platform supports use cases that depend on health data from multiple devices working together. It can be used to develop features that adjust to recovery status, monitor trends in biometrics, or bring together sleep and activity data from different brands. According to Momentum, Open Wearables helps turn scattered signals into a complete picture of user health that AI systems can interpret and use.
🌀 Tom’s Take:
Open Wearables pulls together sensor data from across devices and turns it into a structured format. It’s an essential step toward wearable solutions that can understand context, apply intelligence, and respond in real time.
Source: Momentum
