Galen AI Thinks Your Health Data Should Actually Talk to Each Other

The Macro: Your Health Data Is Everywhere and Nowhere

I have a Garmin on my wrist, a primary care doctor, a dermatologist, a dentist, and a lab that ran bloodwork six months ago. None of these systems talk to each other. My Garmin knows my resting heart rate but not my cholesterol. My doctor has my cholesterol but not my sleep data. The lab has both but can’t tell me what any of it means together. This is the state of personal health data in 2026, and it’s absurd.

The problem isn’t technical. HL7 FHIR exists. APIs exist. The problem is that nobody has had enough incentive to stitch it all together for the patient. Hospitals want to keep you in their portal. Device makers want to keep you in their app. Insurance companies have their own data silos. The patient sits in the middle with fragments of their own health story scattered across a dozen different logins.

There have been attempts. Apple Health aggregates device data reasonably well but doesn’t pull clinical records with any depth. Google Health has been started and killed more times than I can count. Epic’s MyChart is the closest thing to a universal patient portal, but it only works within Epic’s network and the interface feels like it was designed in 2008 because it was. Smaller players like Healthie and Particle Health focus on provider-side data exchange, not patient-facing tools.

The gap is real: a patient-facing platform that unifies clinical records, lab results, and wearable data, then does something intelligent with all of it.

The Micro: Two Stanford AI Grads, One Health Companion

Galen AI comes from Viraj Mehta and Priyanka Shrestha, both Stanford CS and AI graduates who came through YC’s Spring 2025 batch. Mehta’s background spans ML engineering at Optiver and quantitative trading at IMC Trading. Shrestha did research at Stanford SAIL, Gladstone Institutes, and UCLA, plus software engineering at Roche. The combination of serious ML chops with actual healthcare research experience matters here because health data is messy in ways that most engineers don’t appreciate until they’re deep in it.

The product connects to medical records from 800+ healthcare institutions across 12,000+ locations in the US, UK, and Canada. It also syncs with 20+ wearable devices and fitness apps. Once connected, Galen acts as a health companion that can explain test results, check medication interactions, track recovery, analyze lifestyle patterns like sleep and stress, and flag early health trends.

The most interesting part is the pricing: free. Completely free. No ads, no selling your health data. They explicitly state that patient data is never shared with third parties and gets deleted immediately if you close your account. The site is HIPAA compliant with end-to-end encryption, which is table stakes for anything touching medical records but still worth confirming.

I pulled up the app at app.galenai.com and it loads cleanly. The onboarding flow asks you to connect health institutions and devices. The UI is conversational, more chat interface than dashboard, which makes sense for a tool where most interactions are questions like “what does this lab result mean” or “should I be worried about this trend.”

The team is just two people right now. That’s lean for a product that touches healthcare compliance, data integrations with hundreds of institutions, wearable APIs, and an AI layer on top. They cite advisors from Stanford Medicine and Cleveland Clinic, which helps on the clinical credibility side but doesn’t write code.

The competitive angle is interesting. They’re not going after providers or payers. They’re going directly to patients with a free tool, which means the growth model has to be viral or eventually convert to a subscription. The site hints at “potential subscription tiers planned for future release,” which suggests the free tier is a land grab.

The Verdict

I think the core insight is right. Patients should own a unified view of their health data, and the current options are fragmented garbage. The team has the technical background to build it and the healthcare research experience to avoid the most common pitfalls.

The risk is execution at scale. Connecting to 800+ healthcare institutions means maintaining 800+ integrations, each with its own quirks, downtime windows, and data format variations. Wearable APIs break and change constantly. Doing all of this with a two-person team while keeping the product free is ambitious to the point of being concerning.

The “free forever” positioning also raises questions about sustainability. Health data products need to be around for years to be useful. If Galen runs out of runway and shuts down, users lose their unified health record. That’s worse than never having it. I’d want to see a clear path to revenue before trusting it as my primary health data layer.

That said, the product is live, the integrations are real, and the privacy stance is strong. If they can maintain the integrations and find a monetization model that doesn’t compromise patient trust, this fills a gap that nobody else is filling well. Worth watching, especially if you’re the kind of person who actually wants to understand what your body is telling you across all the different systems tracking it.