A software platform for revenue cycle intelligence
RCIntel turns the rules behind U.S. healthcare billing — payer policies, reimbursement math, denial codes, and coding edits — into one source-linked dataset that software and people can query. It is delivered entirely as an API, an MCP server for AI agents, and web tools. No spreadsheets to maintain, no per-seat lookup subscriptions.
The problems we solve
Revenue cycle teams lose money to denials and underpayments that trace back to knowledge that is hard to keep current. RCIntel makes that knowledge callable.
Claims get denied for buried reasons
A denial arrives as a CARC/RARC code with no context. Finding the payer rule behind it, and the way to resolve it, means digging through portals and PDFs one payer at a time.
Underpayments are invisible
Payers pay less than the contract or fee schedule allows, and nobody notices unless every remittance is checked against the correct Medicare or Medi-Cal rate for that facility.
Reimbursement math lives in CMS files
Estimating what a code pays means parsing RVU, GPCI, OPPS, DRG, and wage-index files that CMS reissues every quarter — dozens of interconnected tables where one wrong join produces wrong numbers for months.
Payer rules are scattered
Filing deadlines, appeal levels, and prior-auth requirements differ across 3,400+ payers and change without notice. The knowledge usually lives in one biller's head and walks out the door with turnover.
AI agents have nothing grounded to reason over
An LLM asked a billing question will guess. Without source-linked rules and reimbursement data behind it, its answer can't be trusted for a claim or an appeal.
Who it's for
The same dataset serves the teams that own revenue cycle performance and the developers building the software they run on.
Hospital & health-system revenue cycle teams
Check reimbursement, decode denials, and confirm payer rules without standing up a data pipeline.
Medical billing & RCM companies
One source of billing knowledge across every client's facilities and payers, callable from the software your team already uses.
Healthtech, EHR & clearinghouse developers
Embed reimbursement math and payer rules with a REST call, instead of building and maintaining the CMS ingestion yourself.
AI teams
Ground agents in source-linked healthcare billing data over MCP, so their answers trace back to a rule or a fee schedule.
How we deliver it
One dataset, reachable four ways. Build on the API, ground an AI agent over MCP, use the web tools, or have us run it for you.
API
REST endpoints any system can call. Reimbursement, denials, coding edits, and payer rules as structured JSON.
Read the docs →MCP
The same intelligence as tools an AI agent can call, so an assistant reasons over sourced data instead of guessing.
MCP server →Web tools
No-code tools for teams who won't integrate — a payment calculator, a remittance decoder, and more.
Explore tools →Want to see it running? Take the product walkthrough.
Team
RCIntel is built by engineers who work in healthcare billing data and AI infrastructure.
Andrew Espira
LinkedInCo-Founding Engineer
Andrew builds the API infrastructure behind RCIntel — the resolution logic that turns 3,400+ payers' rules and CMS source data into a single call. He is a platform and reliability engineer and researcher whose work sits at the intersection of AI safety and infrastructure: he built SENTINEL, a mid-reasoning interception framework for auditing AI agents, and AEGIS, a three-layer security proxy for agent systems, both published with DOIs. He also works on GPU cluster observability, proposing new golden signals validated on production datasets, and speaks regularly at PyTorch, Conf42, KCD, and PlatformCon. He holds an MS in Data Science from Saint Peter's University and is based in New York.
“When AI agents make high-stakes decisions, who's watching the reasoning?”
Company
See what it does, then build on it
Walk through the product in action, try the free web tools, or get a read-only API key and call it yourself.
Questions? Talk to us.