Reinventing Healthcare Billing With AI

Interview with Krishang Todi, CEO of Aegis(YC X25) In this episode, we sat down with Krishang, a founder Daniel met through Y Combinator, to talk about what it actually looks like to build a startup in the trenches. We got into his journey from Kolkata to Carnegie Mellon to Silicon Valley, why he chose entrepreneurship over a more traditional path, and how a real healthcare pain point led his team to build a company focused on insurance claim denials. What stood out to me is how much conviction and intuition matter. A lot of great founders do not start with perfect certainty. They start with a strong belief about how the future is going to change, then they go build toward it. Krishang and his team are building in one of the hardest industries out there, healthcare. Their vision is ambitious. They want to use AI agents to help hospitals and providers understand, appeal, and prevent denied claims, while reducing the amount of manual work that dominates revenue cycle management today. We also talked about Y Combinator's shorter batch model, the psychology of leaving school to go all in, what is happening right now with AI in healthcare, why voice agents are hitting limits, and how some of the best startups today are using very small teams to do an incredible amount of work. One of the biggest takeaways from this conversation is that having fewer people can actually be a strength. If you understand how to use AI well, a team of three can build and operate in ways that used to require entire departments. If you are a founder, operator, or just interested in where AI is going in healthcare and startups, I think you'll get a lot out of this one.