Wearable App Development for Health & Fitness Platforms

We build wearable applications that connect devices, normalize health data, and deliver actionable insights to users. From Garmin and Apple Watch to Whoop and Polar — HIPAA-compliant, FHIR-ready, and built for scale from day one.

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Why Momentum

Why Healthcare Companies Choose Momentum for Wearable Development

01

We Built Open Wearables

We don't just integrate wearables — we built Open Wearables, an open-source platform that solves multi-provider data normalization at scale. We understand the SDK edge cases, OAuth flows, and data gaps that generalist agencies learn on your project.

02

HIPAA from the First Commit

Wearable health data is PHI. We architect encryption, access control, and audit logging before writing business logic — not as a compliance phase at the end. Every project ships ready for BAA signing and security questionnaires.

03

AI-Ready Data Architecture

We model wearable data for AI from the start. Normalized time-series, FHIR-mapped observations, and structured feature stores that support predictive analytics, anomaly detection, and personalized health scoring without retrofitting.

04

Multi-Provider Without the Chaos

Supporting 10+ wearable providers means managing 10+ different APIs, auth flows, data schemas, and sync cadences. We've built the abstraction layer that makes multi-provider support maintainable — so adding a new device doesn't mean rewriting your data pipeline.

Our technical expertise

Our Wearable Technology Stack

We pick the stack based on your device ecosystem and clinical requirements. SDK support, data frequency, battery constraints, and interoperability needs drive every technology choice.

Device SDKs & APIs

Garmin Health, Apple HealthKit, Google Health Connect, Whoop API, Polar AccessLink, Suunto, Samsung Health

Mobile

React Native, Swift, Kotlin, Flutter

Interoperability

HL7 FHIR R4, Apple Health MCP Server, Open Wearables

Backend & Data

Ruby on Rails, Python, PostgreSQL, Redis, TimescaleDB

Security & Compliance

HIPAA encryption, RBAC, audit logging, BAA-ready infrastructure, HealthStack
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Frontend Development

Responsive patient portals and clinical interfaces

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Backend & APIs

Secure, scalable medical web app architecture

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Database & Storage

Healthcare-specific encryption and audit logging

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Healthcare Integration

Seamless EHR connectivity and medical data exchange

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Security & Compliance

Advanced encryption, OAuth 2.0, and compliant infrasctructure

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case studies

Healthcare Web Platforms We've Delivered

Fitness-to-Insurance Rewards App With Multi-Device Wearables Integration

Steppie needed to translate everyday physical activity into real insurance savings, which meant wearable data accurate enough for an insurer to trust. We built the platform on Google Fit and HealthKit integration with precise activity tracking and a gamified reward system connecting movement to premium reductions.

ML-Powered Health Monitoring With Wearable Data for Senior Patients

ZdroVeno needed seniors to notice a health problem before it became an emergency, using data most wearables already collect but nobody was analyzing in real time. We built an ML-powered engine processing Google Fit and Apple Health data through a sub-300ms pipeline, detecting HRV anomalies and triggering intelligent caregiver alerts.

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On-Demand Fitness Platform With Cross-Platform Wearables Connectivity

Amino needed to connect users with personal trainers through a mobile booking flow that felt as easy as fitness apps people already used daily. We built native apps on a Ruby on Rails backend with cross-platform wearable connectivity, reaching 5,000+ downloads and 250 registered trainers within the first year.

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Our process

From first call to production launch

A clear, structured path from discovery to a compliant, scalable wearable integration — with visibility at every stage.

Discovery

We map your device ecosystem, data needs, and compliance requirements before writing a single line of code.

1
 

Architecture

We design the data pipeline and integration layer for your specific device stack.

2
 

Integration

We connect devices and normalize incoming health data in real time.

3
 

Compliance validation

We verify HIPAA, GDPR, and FHIR alignment before anything ships to production.

4
 

Launch & support

We deploy to production and stay on to monitor, scale, and iterate.

5
 

Proof by numbers

Results that matter

90,000 active users

get a complete picture of their health through one wearables integration.

7+ wearable providers

supported through a single, normalized data pipeline.

HIPAA & GDPR compliant

from the first commit, with FHIR-native data mapping.

Supported devices

One integration, every major wearable

We connect to the wearable ecosystem your users already wear — normalizing data from every provider into a single, consistent model your product can rely on.

Garmin
Apple Watch
Whoop
Polar
Suunto
Samsung Health
Google Health Connect

Frequently asked questions

Which wearable devices and platforms do you support?

We integrate with Garmin, Apple Watch, Whoop, Polar, Suunto, Samsung Health, and Google Health Connect, among others. If your users wear a specific device we haven't listed, we can typically add support for it during discovery.

How long does a typical wearable integration take?

A single-provider integration typically takes 4–6 weeks from discovery to launch. Multi-provider integrations with clinical-grade compliance requirements usually take 8–12 weeks, depending on scope.

Is our data handled in a HIPAA and GDPR-compliant way?

Yes. We architect encryption, access control, and audit logging from the first commit — not as a compliance step at the end. Every project ships ready for BAA signing and security questionnaires.

Can you integrate wearables into our existing product?

Yes. Most of our wearable projects add integration to an existing mobile or web app rather than starting from scratch. We assess your current architecture during discovery and design the integration layer to fit it.

Do you support FHIR and EHR interoperability?

Yes. We map wearable data to FHIR R4 Observations, enabling it to flow into EHRs, payer systems, and clinical research platforms alongside the rest of a patient's record.

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Let's build your wearable integration.