We don't think of Exactrx as billing software.
We think of it as access to care. Because the #1 barrier patients face today is financial: denials, delays, documentation gaps. We built Exactrx to remove it.
We've worked every side of this problem.
Our founders have lived inside every part of the care pathway that RCM touches: operating healthcare businesses, practicing at the bedside, researching clinical AI, and building the infrastructure behind it.
“I've built and sold two healthcare businesses. In every one, I watched denials quietly break the financial engine, and the people running it.”
“I fought denials daily at the point of care. Patients would abandon treatment rather than wait two more weeks for a peer-to-peer.”
“I'd spent years applying machine learning to biological data. The moment I saw how manual and brittle RCM was, I couldn't unsee it.”
“I scaled healthcare tech through hypergrowth and IPO. I knew exactly what autonomous RCM had to look like, and why no one had built it.”
Three principles behind everything we build.
Access over obstacles.
Every denial is a delay in care. We treat billing as clinical infrastructure.
Clinician-grade, by design.
Every claim reads like a physician wrote it.
Autonomous, never opaque.
Every decision traceable. Your EMR stays the source of truth.
Clinical validation
Verifiable accuracy. Validated by clinicians.
Naked LLMs try to handle the whole chart at once and hallucinate on 28 to 39% of medical content. Exactrx breaks each chart into smaller, focused components. Smaller contexts mean fewer hallucinations. Running them in parallel keeps the pipeline fast.
// op note
// 01 slice
// 02 verify
// 03 assemble
// claim
Same pipeline for op notes, discharge summaries, SOAP notes, and any other billable evidence.
0%
Exactrx
criterion-level accuracy
28-39%
Naked LLMs
hallucinate on medical content
Validated at Weill Cornell Medicine and Northwestern Medicine across 3,145 cases reviewed by MDs, DOs, RNs, and APPs.
Meet the founders.
Healthcare executive with 9+ years building multi-million dollar partnerships and implementing AI in regulated environments. Scaled product at Omada Health prior to IPO. Inc. Female Founders 500 honoree, selected as startup representative for Governor Hochul's Empire AI launch.
Software engineering leader with 15+ years across digital health and fintech. Engineering Manager at Omada Health; formerly Staff Engineer at WePay, acquired by JPMorgan Chase. Architect of Exactrx's tri-engine rules system scoring claims against 80,000+ payer rules.
Associate Professor at Weill Cornell Medicine with 15+ years in biomedical AI, systems biology, and computational medicine. Cofounder of a Y Combinator-backed metabolomics startup. Designed Exactrx's tri-engine deterministic AI architecture for sub-30-second claim scoring across 80,000+ payer rules.
Trained clinician with a PharmD from UCSF, with clinical experience across ASC, hospital, and outpatient care at Cedars-Sinai, UCLA Health, and Children's Hospital LA. Peer-reviewed researcher in clinical pharmacology. Translates clinical documentation standards into Exactrx's 80,000+ payer rules engine.
Clinicians, surgeons, and healthcare operators backing the work.
Featured in.
Governor Hochul's AI Roundtable
Exactrx featured alongside leading AI companies at Governor Kathy Hochul's Empire AI roundtable, hosted at Cornell Tech.
Automating the Infrastructure of Care
A conversation with CEO Athena Doshi on why fixing healthcare's financial infrastructure is a patient access problem.
"Hair on fire" healthcare problems get AI fixes
Exactrx featured among startups tackling urgent operational failures at Northwestern-Techstars demo day.
See your preventable denials, in your own data.
Exactrx deploys in weeks, not quarters, and typically returns 6x its cost in year one. Bring your worst-performing claim category, and we'll show you exactly what we would have caught.