Open Wearables is open-source, self-hosted infrastructure for wearable-powered health products. Health companies use it to collect, normalise and act on data from smartwatches, rings and fitness trackers in their own environment. It is built and maintained by Momentum, a healthcare software company from Wrocław, Poland, that designs and builds digital health products for clients in markets around the world.
Wearable data now matters well beyond consumer apps. Care teams use it to follow patients between visits, and clinical platforms want it next to the medical record. Every one of these settings runs into the same question of who controls the data. Building a separate integration for each device maker takes months, while routing health data through a hosted aggregator puts it on someone else's servers. Under HIPAA, GDPR or national data localisation rules, that second route is often closed.
Open Wearables runs in the customer's own cloud account or on-premise servers, under their credentials. It connects sources such as Apple Health, Garmin, Oura, Whoop, Polar and Samsung Health, and delivers sleep, activity, workouts and continuous metrics like heart rate through one API and data model, whatever the device. Mobile SDKs for iOS, Android, Flutter and React Native handle background sync, and an MCP server lets teams query the data with AI assistants. The core is MIT licensed, so teams can inspect it, extend it and keep it running without depending on a single vendor.
One platform serves different kinds of organisations. Digital health companies build consumer and B2B products on it. Care providers and clinical platforms use it to bring wearable data into their programmes and clinical systems on infrastructure they govern. It already runs in production in digital health products and remote patient monitoring.
Around the open-source core, Momentum offers custom health scores built with its science team, along with deployment, integration and product development. At MEDICA 2026 the team will run a live deployment that shows data from different devices landing in one data model, and meet organisations planning remote monitoring, prevention or care programmes on data they fully control.