1
AI Claims Prevention
Before a claim is submitted, Cabon checks for missing documentation, inconsistent billing details and other rejection triggers based on each payer's requirements, so errors are fixed before they cost money.
Platform 2 · Hospitals
Medboat Cabon
Recover more. Prevent losses. Protect revenue.
Cabon tackles rejected insurance claims: an AI-powered revenue recovery and analytics platform that helps hospitals stop losing money they have legitimately earned.
Launching 1 March 2027
Three pillars
2
Insurance Claims Recovery
Cabon identifies rejected, underpaid, delayed and unpaid claims, organises follow-ups and supports the recovery of legitimate payments.
3
Medical Data Analytics
Cabon studies claims and billing data to reveal revenue leakages, recurring rejection patterns and underpayments that hospital teams often miss.
A continuous cycle
Every claim accounted for.
Cabon runs a continuous cycle — prevent avoidable losses, recover outstanding revenue, and learn from the data to reduce future losses.
Business model: recurring revenue from healthcare providers that process insurance claims and want clearer visibility into their revenue cycle.
1
Prevent
Avoidable losses, before claims are submitted.
2
Recover
Outstanding revenue hospitals have already earned.
3
Learn
From the data to reduce future losses.