Stephen Rouse didn't set out to pick a fight with Google, OpenAI, Amazon, and Microsoft. He just noticed something broken. Every founder in his orbit was tracking their body through a circus of apps that refused to speak to each other. A Whoop on the wrist. A Garmin for skiing. MyFitnessPal for food. Epic MyChart for labs. Strava for runs. Six logins, zero clarity. Meanwhile, the 21st Century Cures Act had quietly opened the door: third parties could now legally pull patient medical records directly from hospital EHRs. Stephen and his co-founder Amit Shah had already spent years building exactly that infrastructure at their previous company, Protocol First, which was acquired by Roche Pharma via Flatiron Health after becoming the first FHIR app to extract patient health data from Epic hospitals for FDA clinical trial submissions. So they built Savva. A unified health intelligence layer that pulls in your medical records, your wearables, your labs, and your meds, then lets you run them through Claude, GPT, Gemini, Grok, Llama, Falcon, Mistral, and Med Gemma like a round table of second opinions. For ten dollars a year. Stored locally on your device. Not sold to insurers. Not uploaded to a cloud that gets monetized in a bad quarter. Not harvested when the CEO decides he wants a bigger house in Tahoe. The philosophical core of the episode is trust. Stephen argues that people lie to their doctors because the incentives are broken. Admit you smoke a cigar on the golf course and your life insurance premium jumps three hundred dollars a month. Admit you had seven vodka sodas last night and it lives on a clipboard forever. But you'll tell the AI. Because the AI already has the data, doesn't judge you, and isn't reporting back to your payer. When healthcare finally gets a system that sees everything and costs nothing, the entire concierge medicine model starts looking expensive by comparison. The Unidentified Data Principle — Most apps say encrypted, in transit, at rest, de-identified. Stephen goes one step further. No accounts. Nothing tied to a person.Local device storage, not cloud storage.App grows on your phone as records accumulate, not on their servers.If acquired tomorrow, there's no data sitting there to monetize.The business model physically cannot pivot into data harvesting. The Round Table of Second Opinions — Instead of marrying one model, let the user poll them. Ask the same health question to Claude, GPT, Gemini, Grok in sequence.Each model has different training data, different personality, different blind spots.Cost is distributed: roughly 12,000 questions a year across all models for ten dollars.Replaces the "I don't trust that doctor, I want a second opinion" loop with a two-second model switch. The Blue Collar Infrastructure Play — How Savva got to 314,000 connected healthcare institutions without venture capital. Direct EHR integrations instead of Health Information Exchanges like Commonwealth or Health X.No middleman API fees to bleed unit economics.Wearables pulled through Apple HealthKit instead of direct Whoop, Garmin, Oura APIs.Free ingestion on both sides, which is what makes a ten-dollar price point survive. The Global Footprint Thesis — The reason the price is ten dollars a year is not marketing. One hundred million people in the West have access to modern EHRs.A billion people in underserved regions do not, and will not in our lifetimes.An EHR build costs hundreds of millions of dollars and takes a decade.Savva works without an EHR: upload a document, it treats it as a visit, and chronological history emerges.The ten-dollar price is designed to be swallow-able in Dar es Salaam. https://www.savva.ai https://www.linkedin.com/in/rousestephen/ https://www.linkedin.com/in/estesryan/ https://aiforfounders.co https://kitcaster.com/application https://ryanestes.info
