Every year in the United States, more than $260 billion of care that was already delivered goes unpaid. Not because the care wasn't given, but because the administrative machine between the chart and the payment leaks. Adentris was founded in 2025 to close that leak for good.
The clinical work is done. The patient was seen, the procedure was performed, the documentation exists somewhere in the chart. Then the claim enters a machine of coders, payors, portals, and denials, and the revenue leaks before it ever reaches the provider.
That leak does not come out of a spreadsheet. It comes out of care. Programs shrink, beds close, and clinicians burn out chasing denials instead of treating patients. The damage lands hardest on the mid-market providers that most of American care actually runs on, the ones the enterprise vendors never priced for.
We believe this is finally a solvable engineering problem. AI agents can now read every chart, check every claim, and answer every payor in real time. Someone had to build that company with healthcare-grade accountability and startup speed. So we did.
Recovered revenue is treatment capacity. Every dollar that stops leaking keeps beds open, programs running, and clinicians focused on care instead of paperwork. The trust a patient places in treatment should survive the billing process.
Enterprise-grade revenue integrity used to be priced for hospital giants only. We bring it to the mid-market: transparent pricing, a free tier to start, and no seven-figure implementation project standing between a provider and results.
AI is entering healthcare billing faster than governance can follow. We hold the line publicly: our CEO co-wrote the industry work on ungoverned AI in billing and takes that case to policymakers. The standards we hold ourselves to live on our Trust page.
The AI Web Agent reads the screen the way a trained reviewer does, so there is nothing to integrate and nothing for IT to maintain. And we build compliance that helps instead of overwhelming: it flags the one chart that needs attention before submission, in real time, and stays quiet about everything that is already right.
All three of us had already built and sold companies. We picked the least glamorous corner of healthcare on purpose: the administrative machine nobody wants to look at, where the losses are largest and the tools are the oldest. It was the biggest problem we could find that we knew how to fix.
UC Berkeley. Second-time YC founder. Runs go-to-market and the company's public policy work: co-author of the industry article on shadow AI in medical billing, and a national voice on AI governance in healthcare.
"Providers keep delivering care they never get paid for, and the industry treats that as normal. It is not normal. It is the biggest solvable problem in American healthcare."LinkedIn →
Second-time YC founder. Previously CEO of ElectroNeek (YC W20), scaled across 30+ countries. Mathematician from a fully medical family: physicians on every branch of the family tree.
"I come from a family of physicians, so I watched the paperwork win long before I wrote software. Our customers have next quarter, not an eighteen-month integration. That deadline is the best product manager I ever had."LinkedIn →
Third-time founder. Led AI at ManyChat, one of the largest chat automation platforms. Owns the multi-agent architecture and the AI Web Agent layer that run every Adentris module.
"APIs were never coming to save the mid-market. So we built agents that read the screen the way a trained reviewer does. The integration problem did not get solved. It disappeared."LinkedIn →
Every chart audited before submission. Denials prevented instead of fought. Audits answered in hours, not weeks. Providers paid fully and fairly for the care they already delivered, and financially healthy enough to grow. That is the company we are building.