Delfino AI

Sneh Patel and Kimberly McManus looked at healthcare administration and saw what everyone else ignored—the endless phone calls between providers and insurance payors that keep doctors' offices running in circles. So they built Delfino AI, a Y Combinator-backed company using generative AI to automate these repetitive calls. Sneh has a Doctorate in Pharmacy and an MBA from Harvard, previously consulted at McKinsey and worked at an NEA-backed startup. Kimberly led the data science team at 23andMe, holding a Bachelor's from MIT and a Master's. This isn't their first rodeo in healthcare or AI—they just combined those skills to solve a problem that costs providers millions of hours every year.

Here's the reality: healthcare billing is a $400 billion headache in the US, and most of it still runs on phone calls, fax machines, and manual follow-ups. Providers spend hours on hold with insurance companies just to verify eligibility, check claim statuses, or get prior authorizations. Delfino's AI handles all of that—automating the back-and-forth so providers can actually, you know, practice medicine. Two founders with zero healthcare Bros and real scientific credentials building AI that doesn't hallucinate diagnoses but actually solves paperwork. That's the difference between hype and help.

Delfino AI is solving one of healthcare's most boring problems with serious technical muscle. The space is wide open, the demand is obvious, and with a Harvard MBA and 23andMe data science veteran running point, they've got the pedigree to execute. Keep an eye on this one.