Vlad Panin

I'm Vlad Panin, founder and CEO of iFrame.AI — and my road to Silicon Valley began in a village of a few hundred people in Europe.

Before I built AI, I built electric guitars. I founded one of Ukraine's first guitar manufacturers and engineered an instrument that could connect to the internet and teach you to play. That instinct — take something everyone accepts as broken and rebuild it from scratch — has driven everything since.

I trained as a corporate lawyer (my PhD research was on digital-signature regulation), then ran the municipal IT center in Uzhhorod, where I built a citywide "Citizen's Cabinet" e-government platform with the EU and UNDP. That led the UN to invite me to co-lead Ukraine's national eHealth system: electronic health records linking thousands of hospitals and serving 35+ million patients — the rough equivalent of the TEFCA framework the U.S. is building now. By my mid-thirties, I'd helped put an entire country's health system online.

Then I moved to the U.S. and founded iFrame.AI in Menlo Park. We built a medical-coding AI with a 10-million-token context window that reads a patient's full history in one shot — to attack a problem most people have never heard of. American healthcare quietly runs on roughly 200,000 offshore medical coders: a $210B administrative drag and a national-security liability the Change Healthcare breach (190M+ Americans exposed) made impossible to ignore. I founded the Med.Report community and Pulsar around one goal — bring that work back to U.S. soil by 2030.

Today I'm building the layer underneath the entire AI boom: iFrame OS, infrastructure that makes GPUs dramatically more efficient, plus our own compute and "infinite-context" inference. My contrarian thesis — I helped AI "escape the Matrix," and whoever controls AI infrastructure (chips, power, memory) will matter more than whoever ships the flashiest model.

I'm also a Forbes Business Council contributor and co-author of a university textbook on Generative AI recommended by Ukraine's Ministry of Education. I teach large language models in graduate curricula and keynote AI conferences worldwide.

Topics I go deep on

• The unlikely founder journey: village guitar-maker → UN digital infrastructure → Silicon Valley
• Why control of AI infrastructure (compute, power, memory) beats raw model performance
• Healthcare's hidden $210B billing machine — and how AI rewires it
• The 200,000-job offshore-coding dependency and the cyber risk nobody discusses
• "Infinite context" and the end of RAG: where long-context AI is actually headed

Questions hosts love to ask

• How does a guy who built guitars in a Ukrainian village end up running a country's health system and running a billion-dollar AI business in Silicon Valley?
• Is the U.S. one cyberattack away from a healthcare-billing meltdown?
• What do you actually mean — you "helped AI escape the Matrix"?
• Will AI bring data jobs back onshore, or erase them for good?

What you get as a host: vivid stories, strong (sometimes contrarian) opinions, zero jargon, and an immigrant-founder arc that keeps listeners leaning in. I've guested on shows including Disruption Interruption and the Medical AI Podcast, I come prepared, and I make the host sound great. Tell me your audience and angle, and I'll tailor the conversation to land.