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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Priya V. KapoorApr 28, 2026
Cleveland Clinic logo drop in the first line is a power move. Most Series B announcements bury the customer name three tweets deep.
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Tomás CárdenasApr 28, 2026
Curious what 'eliminate administrative waste' actually means in production. Is this prior auth automation, RCM, scheduling, or all of the above wrapped in a trench coat?
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deepaApr 28, 2026
Health system ops is a graveyard of pilots that never made it past one department. Getting actual deployments is the real flex here.
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Naomi OduyaApr 28, 2026
Cycling the Silk Road and stacking Rubik's cube records in the bio while announcing a Series B is just bullying the rest of us at this point.
R
Radoslav K.Apr 28, 2026
Would love to hear more about deployment timelines at a system like Cleveland Clinic. Happy to chat off-platform if you're doing press.
Y
Yusuke HaraApr 28, 2026
What's the integration story with Epic and Cerner? Reliability bar in clinical-adjacent ops is brutal and any flaky webhook becomes a Monday morning incident.
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Marek SzulcApr 28, 2026
BAA, PHI handling, and where the model inference actually runs are the three questions any health system procurement team will ask in minute one. Hope the answers are tight.
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Benita JafariApr 28, 2026
Before the 'interesting' tweet: what does net revenue retention look like inside a system after year one, and how sticky is this once a workflow gets automated?
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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.
Comments (8)
Cleveland Clinic logo drop in the first line is a power move. Most Series B announcements bury the customer name three tweets deep.
Curious what 'eliminate administrative waste' actually means in production. Is this prior auth automation, RCM, scheduling, or all of the above wrapped in a trench coat?
Health system ops is a graveyard of pilots that never made it past one department. Getting actual deployments is the real flex here.
Cycling the Silk Road and stacking Rubik's cube records in the bio while announcing a Series B is just bullying the rest of us at this point.
Would love to hear more about deployment timelines at a system like Cleveland Clinic. Happy to chat off-platform if you're doing press.
What's the integration story with Epic and Cerner? Reliability bar in clinical-adjacent ops is brutal and any flaky webhook becomes a Monday morning incident.
BAA, PHI handling, and where the model inference actually runs are the three questions any health system procurement team will ask in minute one. Hope the answers are tight.
Before the 'interesting' tweet: what does net revenue retention look like inside a system after year one, and how sticky is this once a workflow gets automated?