Health systems are losing margins they’ve already earned, according to Sumit Kadakia, CEO and co-founder of Midstream Health. The startup bets artificial intelligence can improve hospital margins by finding money that is already embedded in contracts and transactions.
Midstream Health, an autonomous financial operations platform for health systems, picked up $20 million in series A funding to expand its AI financial platform. The company is expanding across a customer network representing more than $100 billion in annual operating expenses and over 250 hospitals nationwide.
Valtruis led the financing round with continued participation from Andreessen Horowitz (a16z), Foundry and CommonSpirit Ventures, bringing Midstream’s total funding to $29.2 million. Fairview Health Services and Keck Medicine of USC are among the newest health systems to join the platform, alongside CommonSpirit Health, Mount Sinai Health System and Houston Methodist.
Midstream says its AI financial platform helps health systems find and recover margin across revenue and cost, strengthening the financial capacity needed to keep investing in care and serving their communities.
"We bring all of a health system’s data together, across pharmacy, supply chain, managed care, revenue and cost, into a single source of truth, and then put AI agents on top of it to find and recover money the system is owed. We call it the 'second financial brain' for a health system," Kadakia said in an interview.
He added, "That’s a lot of technical talk for a pretty shocking problem: hospitals are multibillion-dollar enterprises, and most of them don’t have any form of managerial finance."
With that data foundation in place, Midstream Health's domain-trained agents proactively flag and prioritize cost-saving and margin opportunities such as missed rebates, pricing errors, payer underpayments and policy-driven denials.
Kadakia describes the platform as "an army of agents that runs alongside a health system’s finance and supply chain teams, never sleeps, and is constantly finding and recovering margin."
The company plans to use the fresh funding to expand its product and engineering capabilities, particularly as it moves into new verticals. It also plans to continue formalizing its sales and marketing functions and building a dedicated research function that owns its underlying data connections, Kadakia said.
Health systems are facing a financial sustainability crisis, fighting to protect razor-thin margins. More than 110 rural hospitals have closed over the past 20 years, and another 720 — representing roughly a third of all rural hospitals — are at risk of closure. Much of what’s slipping away is money health systems have already earned, buried in their own contracts and spend.
According to Kadakia, one system can have thousands of contracts across supply chain, pharmacy and managed care, each with its own pricing tiers, rebate triggers and amendments. "Nobody has time to check every one against what the system actually buys and pays, so a six-figure rebate can disappear because one form was missed. Meanwhile, most healthcare AI money has gone into the claims fight between hospitals and insurers. Every dollar one side wins, the other side loses, and the total cost of care goes up. Deflationary AI will make care cheaper to deliver, and the most direct way to do that is making sure health systems collect what their contracts already say they’re owed. Margin that stays buried in a contract never reaches patients," he said.
Kadakia says he has a personal perspective on the issue—his father practiced at two rural West Virginia hospitals that have since closed.
"In today's challenging healthcare environment, we have to be thoughtful about how we manage our resources and continually look for opportunities to operate more efficiently," said James Hereford, CEO of Fairview Health Services in a statement. "By leveraging AI-driven financial operations, we can improve financial performance, allowing us to focus more resources on delivering care to our patients and communities."
CommonSpirit Health, one of the largest nonprofit health systems in the U.S., was an initial investor in Midstream and became one of the first healthcare partners chosen to implement and validate the platform through integration with supply chain operations. After implementation, Midstream's AI agents provided "measurable gains within days, surfacing opportunities like missed rebates and underpayments," according to Daniel Barchi, CommonSpirit Health's chief information officer.
"It is a closed-loop AI system that transforms financial intelligence into real-time action, delivering a data foundation, visibility, and execution capability," Barchi said in a statement.
Across its customer base, Midstream claims it has identified more than 1,500 financial recovery opportunities this year, from six-figure rebates buried by a single missed form to systemic payer underpayments. Early Midstream partners are projecting more than 5x ROI this year. The platform is on pace to reach $100 million in client savings by the end of 2026, the company claims.
In the near term, Midstream is on pace to reach $100 million in client savings by the end of 2026.
"The longer-term piece is what I’m most excited about, because I think this enables a renaissance in value-based care. Value-based care was built on an unstable foundation. To take on risk, a hospital needs a clear view of what care is actually costing it and why, and the systems to give hospitals that view were never built. If we give them that foundation, they can take on more risk, and that’s how you start to deflate the arms race between payers and providers," Kadakia said.
In the current financial environment, health systems need solutions that can improve their financial position quickly, noted Mike Spadafore, managing director of Valtruis. "We’re backing Midstream because it’s built first-of-its-kind infrastructure to turn complex financial data into action. Where enterprise healthcare technology can take years to demonstrate value, Midstream delivers within the quarter," he said.
AI is intensifying an ongoing financial battle between health systems and insurers, and data shows that this AI "arms race" is driving up short-term healthcare costs. The Blue Cross Blue Shield Association estimates hospitals’ AI coding tools added nearly $1 billion in costs over two years, and insurers are answering with AI of their own.
"Patients, employers, and taxpayers pay for that arms race. The next decade should be judged by a simpler test: does the technology bring total cost down? That’s the standard we hold ourselves to," Kadakia said.