We're building consumer medical AI for everyone else.
A billion people, on every continent, with their own complete health record on their phone, the AI of their choice to make sense of it, and nothing on a server but a software update.
That's the mission. There's no good reason it hasn't happened yet.
Why we built Savva
The consumer medical AI category, as it exists today, is built for wealthy English-speaking patients who already have a concierge doctor. ChatGPT Health and Claude for Healthcare charge $30 a month, run only in English, store every conversation on US-cloud servers, and require an account tied to your identity. They serve a tiny sliver of the world.
We built Savva for the rest of the world. The diabetic patient in Lagos. The longevity-focused athlete in Tokyo. The family in São Paulo managing a parent's chronic kidney disease. The person in rural Kenya whose entire medical history is a folder of paper lab slips. None of them have been the customer for consumer medical AI. They've been the data. We inverted that.
The choices we made
The four architectural decisions below are what make Savva possible at the scale we're trying to reach. They aren't features. They're the company.
On your phone, not on a server.
Health data is the most personal information anyone owns. We didn't want ours on a company's server, where it's one bankruptcy, one breach, or one acquisition away from belonging to someone else. Savva keeps everything on the phone. No account, no cloud, no user record. The data lives where it should, with the person it belongs to.
Affordable because it should be.
A health app shouldn't cost what a doctor's visit costs. Not now, not when the underlying intelligence gets cheaper every quarter. We priced Savva for the wallet, not for the cap table. The core app is free. The AI tier is localized by country, $9.99 a year in the US and as low as the equivalent of $4.99 a year in lower-PPP markets.
Every leading AI, because the leader keeps changing.
A new model launches almost every week, and the best one for your specific question is rarely the one you used last month. We didn't want to lock anyone into a single AI, including ourselves. Savva ships with the leading models on tap. On-device options that run locally on your phone. Cloud options for deeper reasoning when you want them. Same data, different perspectives, fresh intelligence as it ships.
Built to reach a billion people.
Globally, your health records are a mix of digital and hand-written. A paper lab slip. A PDF. A photo. Data behind an API. A file sent over WhatsApp, or one locked inside a patient portal. What you get depends entirely on your healthcare provider's infrastructure. In much of the world, that infrastructure was never digital to begin with.
Savva digitizes all of it. Snap a paper lab, scan a discharge summary, forward a PDF, and on-device OCR turns it into a structured, trendable record. For millions of people, this will be the first time their own health history has ever been searchable.
Our goal is 100 million people in North America and Europe within the next five years, and a billion people in underserved regions in the same window. The on-device architecture and the price point are not features. They are what make a billion-user company possible without selling anyone's data to fund it.
Who we are
Amit Shah
Co-founder
Amit has spent his career building the infrastructure that connects healthcare systems. Before Savva he led development of FHIR interoperability systems powering data exchange across major US health networks, and watched health data get aggregated, brokered, and monetized at every step. He built Savva to make that structurally impossible. His work on direct EHR integrations is the technical foundation that lets Savva connect 280,000+ US healthcare providers without paying intermediaries.
Stephen Rouse
Co-founder
Stephen has spent his career selling into health systems and building companies at the intersection of technology and healthcare. He saw firsthand how patient data flows through companies most patients have never heard of, aggregated, resold, and used in ways patients never consented to. That drove him to build a health AI where the privacy promise is impossible to break by design, not by policy.
Together with our team in Bangalore, we've spent the last two years building the consumer medical AI we wanted to exist.
Savva is built by Vircode, Inc., a privately held company headquartered in Miami, United States with operations in Bangalore, India. We're launching the app globally on July 7, 2026.
“A billion people, on every continent, with their own complete health record on their phone, the AI of their choice to make sense of it, and nothing on a server but a software update.”
