Health data infrastructure for modern applications
WearSightful
Connect wearable data. Build better health experiences.
WearSightful gives your product one integration layer for health and wearable data from the platforms your users already use. Connect data sources, access normalized health data, and build analytics, insights, reports and engagement experiences without maintaining every integration yourself.
One platform. Multiple data sources. A consistent foundation for your product.
- Developer-first APIs and SDKs
- Provider-agnostic normalized data
- Built for multi-tenant B2B SaaS
- Designed for analytics and AI-ready applications
The problem
Your users generate health data everywhere.
Apple Watch. Oura Ring. WHOOP. Android devices. Fitness platforms. Different providers, different APIs, different data models, different maintenance requirements.
Building each integration yourself takes engineering time away from the product your customers actually came to use.
WearSightful gives you one foundation to build on.
Connect your users to multiple health and wearable data sources, then access that data through a consistent API designed for the applications you are building.
How it works
Connect → Collect → Normalize → Understand → Engage
WearSightful is designed around a clear progression: from connectivity to action.
- 01
Connect
Give your users a simple way to connect the health and wearable platforms they already use.
- 02
Collect
WearSightful handles ingestion, synchronization and provider-specific complexity.
- 03
Normalize
Access data through a consistent model so your application does not need every provider API.
- 04
Understand
Analyze trends, compare periods, generate reports and identify meaningful changes.
- 05
Engage
Turn insights into action with notifications, nudges, goals and gamification.
Normalized data
Build on normalized data
Stop building your product around provider-specific data structures. WearSightful transforms fragmented health and wearable data into a consistent, application-ready model.
Your team can build against one API while WearSightful manages the complexity of individual data sources. Use the data directly, combine it with your own data, or build new services on the WearSightful intelligence layer.
// Normalized sleep summary
{
"provider": "oura",
"date": "2026-07-17",
"totalSleepMinutes": 412,
"efficiency": 0.91,
"hrvRmssd": 48,
"baselineDelta": "-12%"
}From data to insight
Raw data is only the beginning.
The most valuable health applications do more than display numbers. They help users understand what is changing, identify patterns and decide what to do next.
Personal baselines
Establish baselines from each user’s own history.
Trend detection
Detect positive and negative trends over time.
Period comparisons
Compare periods and behaviours with context.
User context
Connect wearable data with user-defined tags and context.
Evidence-based insights
Generate insights grounded in longitudinal data.
Timed engagement
Trigger the right engagement at the right time.
Example: A user tags several nights as “travel”. WearSightful can help your application compare sleep and recovery on travel nights against the user’s normal baseline, identify a pattern and deliver a personalized insight.
Built for developers
Integrate into the product you are already building.
Your application remains the experience. WearSightful provides the health data infrastructure underneath it.
- REST APIs for server-side integration
- Mobile SDKs for data collection and connection flows
- Flutter support for cross-platform applications
- Webhooks for real-time application events
- Short-lived authentication tokens
- Profile-based access controls
- Multi-tenant architecture for B2B SaaS
Modular by design
Start with the capabilities you need. Add more as your product grows.
Connect
Wearable and health data integrations.
Data
Normalized health data APIs.
Analytics
Aggregations, comparisons and personal baselines.
Reports
Standard and custom reporting capabilities.
Insights
Trend detection, correlations and interpretation.
Engage & Gamify
Notifications, nudges, goals and challenges.
Who builds with WearSightful?
Built for health, fitness and wellness product teams.
Digital health
Build data-driven health experiences without becoming a wearable integration company.
Fitness and coaching
Combine training, activity, sleep and recovery data to power better coaching.
Wellness platforms
Connect users to the data they already generate and create more engaging experiences.
Corporate wellness
Power goals, challenges, participation and data-driven engagement.
Research and studies
Collect structured longitudinal health and activity data from connected participants.
Consumer health apps
Build personalized experiences on top of a broad data foundation.
FAQ
Frequently asked questions
Clear answers for product and engineering teams evaluating wearable data infrastructure.
What is WearSightful?
WearSightful is a B2B SaaS platform that helps companies connect, collect, normalize and use health and wearable data in their own applications.
What is a wearable data API?
A wearable data API provides software access to data generated by wearable devices and health platforms. WearSightful is designed to provide a unified integration layer across multiple providers.
Why use a wearable API instead of building integrations directly?
Building direct integrations requires separate development, authentication, data mapping, maintenance and provider-specific updates. A unified API can reduce this complexity and allow teams to build on a consistent data model.
What wearable platforms can WearSightful support?
The WearSightful roadmap includes Apple HealthKit, Google Health Connect, Oura and WHOOP, with Garmin, Polar, Strava and other providers planned.
Does WearSightful normalize wearable data?
Yes. Normalization is a core part of the platform. The goal is to provide a consistent data model across different providers while retaining source metadata and data provenance.
Can WearSightful detect trends in health data?
The platform is designed to support personal baselines, time-series analysis, trend detection and identification of meaningful changes in longitudinal health data.
Still deciding? Talk to the WearSightful team.
Build on the data your users already generate.
Connect your product to wearable and health data with one platform designed for developers, product teams and modern digital health applications.