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We turn messy wearable data into something clinicians and researchers can actually use.

Every wearable device speaks its own format. If you are building a product or running a study that depends on patient data, you already know the problem: getting it out of the device, into a clinical system, in a form that is standards-compliant, consented, and reliable. That is what we do.

◎Device connection and patient consent flows
◎Wearable data normalization across device types
◎FHIR Observation storage, clinical-grade
◎Open mHealth / IEEE 1752.1 schema validation
◎Open Wearables platform integration
◎Reliable sync into clinical exchanges
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Laude Moonshot grantees
Travis is a contributing member of the JupyterHealth software team (UC Berkeley, UCSF, The Commons Project, 2i2c, Duke). The JupyterHealth Exchange is now the platform behind Edge Medicine, competing for a $10M multi-year Moonshot lab. All work is open source on GitHub.
UC Berkeley · UCSF · Open Source · GitHub-verifiable
Talk to us about your wearable data challenge →
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Each one built on real production experience, not slide decks.

How we work

Three steps. No surprises. A senior engineer on every project.

01

Discovery

A short call to understand what you are trying to accomplish, which systems are involved, and where the risk is. If we are not the right fit, we will tell you.

Free · 20 min
02

Spec and scope

We produce an AI-assisted specification sheet that maps the integration, the data model, the auth requirements, and the build estimate. It is yours to keep.

Yours to keep
03

Build and deliver

Every change documented, explainable, and maintainable by your team after we are done. No black boxes, no vendor lock-in.

Senior engineer
What clients say
★★★★★

Travis really went above and beyond my expectations. He clearly is thoughtful and able to complete work thoroughly.

Upwork client
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★★★★★

Travis was exceptional in quickly diagnosing problems with our company's Moodle instance. We would hire him again without hesitation.

Upwork client
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★★★★★

I had the pleasure of working with Travis on my AI chatbot build and I could not be happier with the results.

Upwork client
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★★★★★

Travis was able to talk us through what we have done and helped us figure out a solution very quickly.

Upwork client
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★★★★★

A rare blend of technical brilliance, professionalism, and results. 5/5.

The Child Care Company
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All testimonials from verified Upwork engagements.

Ready?

Whether it is a wearable data problem, an EHR integration, or something else entirely, we will tell you straight whether we can help.

Schedule a free discovery call →

20 minutes. No pitch, no pressure.