Cadence Raised $100M to Get Paid Only When Patients Get Better
The raise isn't the bet. The payment model behind it is.
Most healthcare AI pitches promise to do more and bill more. Cadence just raised $100 million on the opposite idea: get paid less per patient, and collect in full only when patients actually get healthier.
On June 23, Cadence, the clinical AI company managing chronic care for older adults, announced a $100 million Series C led by Spark Capital. The syndicate is worth reading closely. Thrive Capital, General Catalyst, Coatue, and B Capital came in alongside three health-system investors: Corewell Health Ventures, Memorial Hermann, and Duke Health. Cadence also announced a new affiliation with Duke Health the same day.
The product fits the moment. Cadence supports more than 90,000 patients across 20-plus health systems, using AI to handle the high-volume routine work of chronic care, monitoring vitals and surfacing risk, so clinicians spend their time on the decisions that need a human.
Here’s the part the headline skips. Medicare’s innovation center rolled out an experimental program called ACCESS that pays providers a set amount per patient, roughly $180 to $420 in year one depending on the condition, and pays the full amount only if patients hit outcome targets. Compare that to a standard remote-monitoring setup, where a provider can bill around $100 per patient per month for doing the work regardless of results. Cadence said it would be among the first to sign up.
This is where I’d reach for Skin in the Game, one of the models in my book. The idea is simple: you carry real downside, not just upside, and your incentives are wired to the result instead of the activity. ACCESS flips healthcare’s default. The old model pays for motion. ACCESS pays for outcomes. Cadence is volunteering for a structure where it eats the risk if patients don’t get better.
That also explains the cap table. When three health systems write checks into the company they’re buying from, they’ve got skin in the game in its success too. That’s not a logo grab. That’s alignment.
The contrarian read: the $100 million is the least interesting number in this story. The interesting numbers are $180 to $420 per patient paid on results, against $100 a month paid no matter what. Cadence is betting it can use AI to make the outcomes math work where labor-heavy competitors can’t. If patients don’t improve, the model doesn’t pay. Most companies run from a constraint like that. The good ones build toward it.
I think about this at /mkt, where we operate inside a Reg A+ structure with tZERO as our trading infrastructure. In regulated markets you don’t write the rules, you build to fit them. The structures that force you to win only when your users win can look like constraints. They usually turn into moats.
If this was useful, share it with someone who builds things. And if you want the full toolkit of 50 mental models, my book is coming soon.
This newsletter is for informational and educational purposes only. It is not investment, legal, tax, or financial advice, and it is not an offer or solicitation to buy or sell any security. Figures are drawn from publicly available reports as of June 23, 2026, and are subject to change. Do your own research and consult a licensed professional before making any decision.