Open Wearables natively supports Garmin, Apple Health, Oura, Whoop, Polar, Suunto, Samsung Health Connect, and more. Apple watch health app data flows through Apple Health integration, and fitbit integration is on the roadmap. For devices not yet in Open Wearables, we build custom integrations and connect them to the same unified API. Your app gets a single normalized data model regardless of which wearables your users connect.

Open Wearables is self-hosted and MIT-licensed. Your only ongoing cost is your own infrastructure and the operations time to run it, not usage-based pricing that scales against your growth. No vendor lock-in, and the cost depends on your data retention policy, data volume, and hosting setup rather than your user count.

Yes. We build custom health scores from wearable data: HRV analysis, sleep quality scoring, activity pattern recognition, and risk stratification algorithms. These metrics are tailored to your patient population and clinical goals, not generic calculations.

Through Open Wearables' provider system or custom integrations depending on your needs. Each device has its own OAuth flow, data schema, and sync strategy. We normalize everything into a unified data model so your application code works the same regardless of which wearable your users connect.

We have built remote monitoring systems that connect wearable devices to clinical dashboards with threshold-based alerts, caregiver notifications, and FHIR-compliant data export. ZdroVeno is our reference project: ML-powered health monitoring for seniors with anomaly detection and sub-300ms data processing.

Yes. We connect wearable data pipelines to EHR systems through FHIR and HL7 interfaces. Our FHIR MCP Server enables natural language queries against clinical data, and normalized wearable output maps directly to FHIR-compliant resources.

HIPAA-compliant architecture from day one. Open Wearables is self-hosted so patient data stays on your infrastructure. Encryption at rest and in transit, audit logging, and access controls designed for protected health information. No third-party SaaS platform handling your patients' wearable data.

Yes. Steppie is our reference project: a fitness-to-insurance rewards app with gamified engagement, precise activity tracking, and multi-device wearables connectivity. We build reward systems, challenges, leaderboards, and achievement mechanics tied to real wearable data.

We build the full stack from wearable integration to AI: data normalization, feature extraction, ML model training, and production deployment. Health scores, anomaly detection, predictive analytics, and personalized recommendations built on your wearable data pipelines.

It depends on scope. A single-device integration with basic data display can ship in weeks. A multi-device platform with custom health scores, AI features, and clinical system integration is a larger engagement. We scope every project based on your device requirements, data needs, and product goals.

Standalone. Some clients need device integration added to an existing app without a full platform rebuild around it.

Most integrate against someone else's API. We wrote Open Wearables ourselves, so when a device vendor changes something, we fix it at the source instead of waiting on a third-party SaaS provider to patch it.

Both, often on the same underlying data pipeline. A consumer fitness app and a clinical remote monitoring tool can share the same normalized wearable data model, just with different compliance and alerting layers on top.

Both, equally. Wear OS and Android-connected devices get the same normalization and sync reliability testing as Apple Health and watchOS integrations.

We're headquartered in Wroclaw, Poland, and work with clients across the US and 20+ other countries. English-first communication and time zone overlap are built into how every engagement runs.

Direct clients mostly, though we've supported agency partners who needed wearable-specific expertise they didn't have in-house for a single project.

We monitor provider API changes as part of ongoing support and update the Open Wearables integration before it breaks in your production app, the advantage of the same team maintaining both the standard and your implementation.

Yes. Migrations typically run alongside your existing integration until data parity is confirmed, then cut over without an interruption your users would notice.