Scaling AI-Powered Medical Education Globally

About this episode

Kamalesh Goswami started in enterprise software at Oracle, moved into medical education in 2005, and eventually built med-ed.ai — an AI-driven platform for the problem every clinician quietly lives with: medical knowledge is now expanding faster than any human can keep up with. The question he's chasing is how AI can help doctors stay current without drowning them.

We talked about what it actually takes to put AI in front of healthcare professionals — where personalised, interactive learning helps, and where trust has to be earned before anyone will rely on it. In healthcare, "the technology works" is the easy part; getting clinicians to believe it, and getting the responsibility right, is the real product.

Then we got into the harder business questions Kamalesh is living through: the gap between validating a product and building a company that can scale, how founders weigh growth versus funding versus partnerships and licensing, why pricing should reflect value rather than cost, and how an Australian startup credibly goes after a global market. It's a clear-eyed look at building in HealthTech — where the mission is huge and the execution is unforgiving.

What you'll learn in this conversation

• Why medical knowledge is outpacing what clinicians can absorb
• How med-ed.ai uses AI to make learning personalised and interactive
• Why trust — not capability — is the hard part of healthcare AI
• The difference between validating a product and building a scalable company
• How founders weigh growth, funding, partnerships and licensing
• Why pricing should reflect value, not just cost
• How customer perception shapes the sale of anything new
• How an Australian startup approaches international expansion
• Why timing and market readiness make or break emerging tech
• What AI means for the future of professional development in medicine