Revenue Intelligence for Hospitals. Built for National Digital Health Rails.
An AI-native revenue intelligence application for hospitals in India, the Middle East and the USA: working the revenue cycle end to end, directly on ABDM and NHCX.
Not a dashboard over a manual process. Designed together.
Not a dashboard over a manual process, and not a copilot bolted onto a legacy RCM suite: the workflow, the clinical data model and the AI were designed together. It works the revenue cycle end to end: directly on ABDM and NHCX, the national digital health infrastructure Indian providers are already adopting.
Every dimension of revenue intelligence, measurably better.
Benchmarked against the status quo rather than against last quarter, the targets the platform is built and measured against.
Inside the application.
Identity, records, claims and money in one workspace, and the proprietary components underneath it.
Six of the seven components are yours to build. One makes the press release.
The model layer is now a commodity: capable, cheap and interchangeable. Everything above it is the actual system.
Standards are the substrate, not an export format.
The whole thing, in detail.
Every claim on this page, with the architecture underneath it: the Scorecard’s scoring model, the Vault’s de-identification engine, the seven-layer harness, and the certification status of each standard.
See it run against a real claim.
A working session, not a slide walkthrough: we take an encounter end to end, record pull, bundle assembly, pre-authorisation, payer response, and you interrogate every step. Roughly 45 minutes.