Wearables Integration From the Team That Built the Open Standard
Build your health tracking app on top of a wearable data platform built by Momentum. We integrate any device your product needs: Garmin, Apple Health, Oura, Whoop, Polar, Suunto, Samsung, and more. Our open source platform Open Wearables powers the infrastructure layer, but our expertise goes beyond it. From fitness tracker app development to remote patient monitoring, you work with the team that wrote the standard.
Healthcare companies that trust Momentum
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Wearables Integration Services
We handle the full scope of wearable app development: device connectivity, data normalization, health metrics, and AI-ready pipelines. Open Wearables is our foundation, but every project is scoped to your requirements, whether that means leveraging the platform or building custom integrations.
Fitness & Wellness App Integration
Expert fitness app development featuring multi-device wearable connectivity. We implement activity tracking, workout detection, and gamified engagement systems integrated through a single unified API for a seamless user experience.
Health Monitoring & Tracking Apps
Custom health monitoring app platforms that process heart rate variability, sleep quality, and activity patterns. We turn real-time data into actionable health scores and insights for both patients and clinicians.
Remote Patient Monitoring Integration
Specialized remote patient monitoring app solutions connecting wearable devices to clinical systems. Features include continuous vitals tracking, threshold-based alerts, and FHIR-compliant data export for care teams.
Coaching & Performance Apps
Proven fitness tracker app development for personal training and sports performance. Our platforms include trainer-client dashboards, performance metrics, and cross-platform mobile experiences with robust Apple Watch health app connectivity.
Glucose Monitoring & Biosensor Integration
Continuous glucose monitor (CGM) and biosensor integration leveraging the Apple Health API and Health Connect. We normalize data from specialized medical devices into unified health profiles alongside standard wearable metrics.
Wearables-to-AI Data Pipelines
Advanced wearable technology healthcare pipelines that transform raw sensor data into ML-ready datasets. We build predictive models, anomaly detection, and personalized recommendations based on normalized wearable data streams.
Wearables Projects We've Delivered
Fitness-to-Insurance Rewards App With Multi-Device Wearables Integration
Wearable-connected rewards platform linking physical activity to insurance benefits. Google Fit and HealthKit integration with precise activity tracking and gamified engagement. Reduced claim rates for insurers, real rewards for users.
ML-Powered Health Monitoring With Wearable Data for Senior Patients
Wearable data integration with ML analytics for personalized senior health guidance. Google Fit and Apple Health processing with sub-300ms performance, HRV anomaly detection, and intelligent caregiver alerts.
On-Demand Fitness Platform With Cross-Platform Wearables Connectivity
Trainer booking platform with native iOS and Android apps connecting users to 250+ personal trainers. 5,000+ downloads in early months, cross-platform wearable data integration, and payment processing with PayFort and Apple Pay.
Why Healthcare companies choose Momentum for Medical Web Apps
Authors of Open Wearables
We built the open standard for wearable data interoperability. MIT-licensed, maintained by our engineering team, used in production across client products.
Integrate Once, Scale Forever
Self-hosted infrastructure you own, no per-user fees. At 10,000 users: $600 to $6,000/year vs. $30,000 to $240,000 on SaaS platforms.
Every Major Device Supported
Garmin, Apple Health, Oura, Whoop, Polar, Suunto, Samsung Health Connect, and more through a single API. One data model, add new devices without rewriting your app.
End-to-End: From Raw Data to AI
Data normalization, health scores, HRV analysis, sleep metrics, predictive models, and AI features on top of your wearable data. The same team that integrates devices builds the intelligence layer.
From clinical question to precise answer in seconds
From Wearable Devices to Production App
Business Goals & Use Cases
We define what health data matters for your product and what outcomes you are targeting. Device requirements, user segments, data types (activity, heart rate, sleep, glucose), and success metrics mapped before development starts.
Business Goals & Use Cases
We define what health data matters for your product and what outcomes you are targeting. Device requirements, user segments, data types (activity, heart rate, sleep, glucose), and success metrics mapped before development starts.
Integration Planning
Device selection, data model design, sync strategy, and architecture decisions. We determine whether Open Wearables fits your needs or if custom integrations make more sense. OAuth flows, data permissions, and compliance requirements scoped upfront.
Integration Planning
Device selection, data model design, sync strategy, and architecture decisions. We determine whether Open Wearables fits your needs or if custom integrations make more sense. OAuth flows, data permissions, and compliance requirements scoped upfront.
Development
SDK integration, data pipelines, normalization logic, and provider-specific handling. Background sync, offline support, real-time processing, and health metric calculations built and tested across target devices.
Development
SDK integration, data pipelines, normalization logic, and provider-specific handling. Background sync, offline support, real-time processing, and health metric calculations built and tested across target devices.
Launch & Support
Production deployment with device monitoring, sync health dashboards, and new provider onboarding. We track data quality, sync success rates, and processing performance so you know your wearable integration runs reliably.
Launch & Support
Production deployment with device monitoring, sync health dashboards, and new provider onboarding. We track data quality, sync success rates, and processing performance so you know your wearable integration runs reliably.
Our Solutions
Built on Tools We Created
The web platforms we build run on open source infrastructure we maintain. FHIRBoard gives your platform FHIR analytics and visualization. FHIR MCP Server connects applications to clinical data through natural language. HealthStack provisions HIPAA-compliant infrastructure in minutes. Not third-party dependencies. Tools our team built, running in production across our clients' platforms.
Open Wearables
Unified Health API for multi-vendor wearables data integration. Build personal health insights applications without vendor lock-in.
FHIR MCP Server
Natural language AI interface for FHIR servers - query clinical data using conversational prompts instead of complex FHIR queries.
HealthStack
Terraform modules for HIPAA-compliant cloud infrastructure - production-ready AI software for healthcare architecture.
Apple Health MCP Server
AI agents that understand Apple Health data through conversational queries - enabling personal health recommendations.
Notetaker (AI Scribe)
AI-powered medical documentation and clinical note generation - automated transcription with structured FHIR output.
FHIRBoard
Interactive analytics and visualization for FHIR healthcare datasets - transform clinical data into actionable health insights.
"Momentum turned our complex vision into a seamless reality, making healthcare more accessible and secure for our users."
"Momentum were the only company understanding our vision, and knew how to deliver it."
"They are transparent in the process and true experts in healthcare technology."
"Their healthcare experience and technical knowledge gave us confidence from day one."
Let's Build Intelligence Into Your Health Data
Tell us about your project and we'll get back to you within one business day.
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Wearables Integration Frequently Asked Questions
What devices do you support for wearable app development?
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.
How does Open Wearables compare to SaaS wearable platforms like Terra or Junction?
Open Wearables is self-hosted and MIT-licensed. Your only cost is infrastructure and hosting usage. At 10,000 users, SaaS platforms charge $30,000 to $240,000 per year in per-user fees. With Open Wearables you pay $600 to $6,000 per year in hosting. No vendor lock-in, no usage-based pricing that scales against your growth.
Can you build a health tracking app with custom health scores and metrics?
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.
How do you handle apple health api connectivity and other device integrations?
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.
What is your experience with remote patient monitoring app development?
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.
Can you integrate wearable data with our existing EHR or clinical system?
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.
How does wearable technology healthcare integration handle data privacy?
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.
Do you build fitness app development projects with gamification?
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.
Can you build AI features on top of 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.
How long does a typical wearables integration project take?
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.
