TahomaisProudly
American

In 2025, Raymond's mother sat him down. She runs a healthcare practice. Forms, payer rules, SOPs that never stopped changing. The compliance work had grown to consume more of her day than her patients did.

Raymond was working in AI. She asked if he could help.

That question became the basis of Tahoma AI. He spent six months stress-testing solutions — starting with her colleagues and former staff, then expanding to over 100 more providers with no connection to her practice. The finding held across every conversation: billing complexity was outpacing headcount, and the providers best equipped to serve patients were spending their hours on administrative work instead.

Raymond knew the problem was worth solving and needed someone who could build the solution at the standard healthcare demands.

Adam had been designing software systems since he was ten. He had deployed business-critical applications serving hundreds of thousands of users across SOC 2, NIST, and HIPAA-regulated environments. He had always gravitated toward startups and knew he was built for the zero-to-one motion. His conviction about AI agents was specific: that they could handle deterministic tasks reliably enough to answer the hardest operational questions in healthcare billing.

Raymond developed the problem space and Adam built the infrastructure to solve it at scale. That became Tahoma.

Together, they apply the enterprise health system experience that drove digital transformation across major health systems to the revenue cycle layer that slows every practice down.

Today, Tahoma processes over 10,000 monthly executions touching claims, denials, and more at some of the largest healthcare organizations in the United States.