In healthcare and digital health innovation, trust is built on transparency. Whether you’re an insurer, research organization, or digital therapeutics provider, you handle data that represents real people: their lives, habits, and well-being. At Thryve, we understand that access to health data must come with the highest standards of privacy, compliance, and security.
In this post, we summarized all the necessary information from our API documentation. We walk you through what actually happens to your data once you start working with Thryve, from integration setup to harmonization, storage, and insights, so you can see exactly how we turn wearable data into secure, clinical-grade intelligence.
When you partner with Thryve, our collaboration starts with a clear definition of your use case. Whether your goal is remote monitoring, preventive care, or digital therapeutics, our team ensures that the integration is tailored to your workflows and regulatory environment. We adjust to your size and needs, based on which package you will be choosing: Start up, Scale up, or Enterprise.
Our onboarding ensures smooth, safe, and quick integration during which you’ll receive:
From day one, you stay in control. Every data request and endpoint is permission-based, ensuring transparency for both your team and your end users.
Once the integration is active, your users can link their wearables or health apps through Thryve’s Connection Widget. With a simple interface designed for compliance and convenience, we ensure that:
Thryve connects with over 500 data sources, from Apple Health and Fitbit to Garmin, Samsung, and medical-grade sensors, bringing everything together into one standardized system.
Once collected, wearable data is often messy. Each device has its own format, timestamp logic, and naming conventions. This is where Thryve’s harmonization layer makes the difference.
Our system automatically:
This process ensures that all incoming health metrics, whether from an Apple Watch or a Withings scale, can be compared reliably, enabling population-level analytics and clinical interpretation.
Security isn’t just an extra feature for us; it’s built into every part of Thryve’s infrastructure.
Here’s how we protect your data:
We also adhere to the principle of data minimization, collecting only what’s necessary and deleting it once the processing purpose is fulfilled.
Once harmonized and secured, the real value of data begins to unfold. Thryve’s platform transforms continuous wearable signals into real-time insights and predictive indicators that can guide intervention and decision-making.
Our partners can:
These capabilities make it possible to connect behavior and outcomes, turning raw data into measurable, actionable health intelligence.
At the core of Thryve’s model is the user’s right to control their own data. Every piece of information processed via Thryve originates from explicit, informed consent.
We apply:
This approach supports compliance with both GDPR and HIPAA, ensuring that every data transaction meets the highest ethical and legal standards.
Our work doesn’t stop after setup. Thryve undergoes continuous security and compliance testing, including:
This ensures that every client’s data pipeline remains secure, reliable, and compliant, even as regulations evolve. Check our page about the data security framework here!
At Thryve, we don’t just move data around; we safeguard it, enrich it, and empower it to drive better health outcomes. Every signal we process, every endpoint we provide, and every integration we deliver follows one simple principle: trust through transparency.
From the moment you become a client to the insights you deliver to your users, you remain in control, and your users stay protected. Every day, we innovate and support health organizations with our API and digital services.
Book a demo with Thryve and test your limits for free!
Paul Burggraf, co-founder and Chief Science Officer at Thryve, is the brain behind all health analytics at Thryve and drives our research partnerships with the German government and leading healthcare institutions. As an economical engineer turned strategy consultant, prior to Thryve, he built the foundational forecasting models for multi-billion investments of big utilities using complex system dynamics. Besides applying model analytics and analytical research to health sensors, he’s a guest lecturer at the Zurich University of Applied Sciences in the Life Science Master „Modelling of Complex Systems“