Luminai

ceo & co-founder @luminai; youngest to cycle across the Silk Road and 2x Rubik's cube world record holder; @ycombinator and @thielfellowship

Luminai is a San Francisco-based AI automation startup building software that converts unstructured healthcare data into structured workflows for hospital admin teams. The platform targets the manual coordination work that clogs health system operations, things like faxes, orders and referrals, and payer contract management, by deploying specialized agents on top of a single workflow infrastructure. The pitch is aimed at health system COOs and revenue cycle leaders who have watched point solutions fail to span the siloed systems and exception-heavy processes that define real hospital back offices. This launch marks a $38 million Series B led by Peak XV Partners, with participation from Define Ventures, General Catalyst, and Y Combinator, bringing total funding to $60 million , alongside a named partnership with Cleveland Clinic. Cleveland Clinic framed the collaboration as an effort to reduce administrative burden so caregivers can focus on patient care, choosing a platform approach to address workflows holistically rather than through isolated tools . The company also lists support from Bob McGrew, former Chief Research Officer of OpenAI, Kevin Weil, former Chief Product Officer of OpenAI, and advisors through Define including Toby Cosgrove of Cleveland Clinic, Bruce Broussard of Humana, and Frank Williams of Evolent Health , signaling the round is as much about distribution into health systems as it is about capital. Luminai is led by co-founder and CEO Kesava Kirupa Dinakaran, a Thiel Fellow and Y Combinator alum, alongside co-founder Dmitry Dolgopolov . The company originally built horizontal workflow automation before narrowing onto healthcare operations, a zoom-in pivot that now anchors the product around health system admin work. For founders and operators tracking where applied AI is actually landing inside large enterprises, the launch is a useful data point on what a flagship academic medical center is willing to deploy across high-volume processes.

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