We saw $250 billion in hospital waste.
We built the AI to recover it.

Every hospital in the world runs on paper trails, phone trees, and software that was never designed to talk to each other. Claim denials pile up in spreadsheets. Scheduling coordinators toggle between four systems to book a single appointment. Revenue cycle teams spend weeks chasing the same data that already lives somewhere inside the organization — just in the wrong format, in the wrong system, at the wrong time.

We saw this firsthand. Our founding team spent years inside hospital operations — working alongside billing departments drowning in rework, watching clinical staff burn hours on administrative tasks that added nothing to patient care, and listening to CFOs explain how millions in legitimate revenue simply evaporated between the point of service and the final payment. The numbers were staggering: the U.S. healthcare system alone loses an estimated $250 billion every year to administrative inefficiency. Not to fraud, not to bad medicine — to fixable process failures.

The revelation was not that hospitals needed better software. They had plenty of software. The revelation was that they needed an operating layer — a single intelligent system that could sit across existing infrastructure, understand clinical and financial context simultaneously, and execute workflows end to end without requiring humans to be the glue between disconnected tools.

That insight became RxGPT. We founded the company in 2024 with a clear thesis: large language models had reached the reliability threshold needed to automate real hospital workflows — not demos, not prototypes, but production workloads with audit trails, compliance requirements, and zero tolerance for errors. We assembled a team of healthcare operators, AI engineers, and compliance specialists and started building from the workflows out, not from the model in.

Today RxGPT powers revenue cycle automation, intelligent scheduling, prior authorization, patient communication, and clinical documentation support for hospitals across the United States and beyond. Every deployment starts with a measurable baseline and a commitment to outcomes — we earn our place in every workflow by proving ROI before we scale.

Our mission is simple: give every hospital in the world access to an AI operating system that eliminates administrative waste, accelerates revenue, and frees clinical teams to focus on what they were trained to do — care for patients. We believe that when the operational burden on healthcare institutions is removed, better medicine follows naturally.

$250 billion in hospital administrative waste is generated every year — RxGPT exists to recover it.

The global healthcare administration market is one of the largest and most under-automated sectors in the world economy. Despite decades of digitization, hospitals still allocate up to 30% of total operating costs to billing disputes, manual scheduling, prior authorization delays, and redundant documentation. These are not edge cases — they are the default operating mode for virtually every health system on the planet.

We see a generational opportunity. Advances in large language models, combined with purpose-built compliance and integration layers, have made it possible for the first time to automate these workflows at production scale with the accuracy, auditability, and security that healthcare demands. The institutions that adopt this technology first will unlock millions in recovered revenue, dramatically reduce staff burnout, and deliver faster, more reliable patient experiences.

RxGPT is positioned at the center of this shift. We are not building another point solution — we are building the operating system that connects revenue cycle, clinical operations, and patient engagement into a single intelligent layer. Our vision is a world where no hospital loses revenue to paperwork, no clinician wastes time on administrative overhead, and every patient interaction is supported by an infrastructure that works as hard as the people inside the building.