Revenue cycle is where healthcare's complexity tends to pile up. Every claim, denial, payer rule, portal login, client quirk, and specialty nuance eventually lands on the people responsible for getting providers paid. For billing companies, MSOs, and the firms that run revenue cycle as a service, that work keeps getting harder. Clients want better performance, more transparency, and faster answers at a lower cost, while the teams doing the work are still holding it together with fragmented systems, manual work queues, spreadsheets, payer portals, and a lot of knowledge that only lives in people's heads.

The three of us have built healthcare software before, and we have seen this problem from the inside. Arun trained as a physician and ran medical groups, working alongside RCM teams and watching how much complexity they quietly absorb on behalf of providers, before founding and scaling Radix Health to a $100M+ exit. Abhi built a market-leading patient engagement platform at Loyal from the ground up as a founding engineer and product leader. Cameron builds the infrastructure that lets our agents work across the messy reality of revenue cycle. We kept the team small on purpose, so we stay close to the work and close to the people we build for.

This is a strange and uncertain moment for AI in healthcare. There is real promise in it, there is a great deal of hype around it, and most teams are understandably wary of handing critical work to a system they cannot see into. We take that seriously. Iolite is built so RCM companies can put AI agents to work across their operations, finding revenue that would otherwise slip away, taking repetitive work off people's plates, learning the patterns specific to each payer and each client, and routing the issues that matter to the right person, all with the visibility, auditability, and control that leaders need before they will trust any of it in production.

We are not here to replace the expertise of the people who do this work every day. We are here to amplify it, giving RCM teams the automation and the clarity to perform better for every client they serve. That is the company we are building, and these are the companies we are building it for.