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RAAPID INC

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Authority
48 reach 6 · trust 10 · quality 17 · freshness 15
Tier
listed
llms.txt
https://www.raapidinc.com/llms.txt
Sections
13
Links
99
Size
24424 bytes
Popularity rank
#603560
Registered
2024-02-07
Country
United States Hosting inference
Hosting country
United States Hosting inference
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No published address evidence collected yet
Categories
AI and machine learning · Healthcare
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-25T17:44:38.414Z
Last checked
2026-10-25T20:56:16.623Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T20:56:13.320Z. Cached copy · Source on raapidinc.com

Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website.

# RAAPID INC

## Sitemaps
- [XML Sitemap](https://www.raapidinc.com/sitemap_index.xml): Includes all crawlable and indexable pages.

Healthcare AI company building defensible risk adjustment for Medicare Advantage plans, health systems, ACOs, and PACE organizations, using Neuro-Symbolic AI to validate every HCC against MEAT criteria with a traceable evidence trail.

RAAPID Inc. is a healthcare AI company building defensible risk adjustment for Medicare Advantage plans, health systems, ACOs, and PACE organizations. Its Clinical AI Platform uses Neuro-Symbolic AI — neural language understanding combined with symbolic reasoning over a clinical knowledge graph — to read unstructured medical records, validate every HCC against MEAT criteria, and produce a traceable evidence trail for each diagnosis. The platform supports two-way coding: adding supported diagnoses and removing unsupported ones, the pattern CMS and the OIG now expect. RAAPID reports 92% out-of-box coding accuracy, rising above 98% after human review. Headquartered in Louisville, Kentucky, with HITRUST r2 certification and investment from M12 (Microsoft's venture fund), UPMC Enterprises, and Healthworx (CareFirst).

## Core Solutions

- [Retrospective Risk Adjustment](https://www.raapidinc.com/retrospective-risk-adjustment/): AI chart review that finds HCC codes with evidence linkage and removes unsupported ones, in under 8 minutes per chart. Two-way coding built in.
- [RADV Audit Solution](https://www.raapidinc.com/radv-audit/): Purpose-built RADV audit readiness — defensible coding, mock audit workflows, and audit-ready evidence trails for Medicare Advantage plans.
- [OnePass Risk Adjustment Coding](https://www.raapidinc.com/onepass-risk-adjustment-coding/): Collapses multi-pass validation into a single evidence-backed review, eliminating redundant vendor queues and coordination overhead.
- [AI as a Service](https://www.raapidinc.com/ai-as-a-service/): APIs that add risk adjustment capability to existing systems without platform replacement or workflow change.
- [OnePass Challenge](https://www.raapidinc.com/lp/onepass-challenge/): Benchmark your current multi-pass coding results against a single OnePass review on your own charts.

## About RAAPID

- [About RAAPID Inc.](https://www.raapidinc.com/about-us/): Company overview, mission, and leadership.
- [Advisory Board](https://www.raapidinc.com/advisors/): Healthcare and technology executives advising RAAPID.
- [Kim Swafford](https://www.raapidinc.com/advisors/kim-swafford/): Industry Executive, Microsoft Healthcare.
- [Don Antonucci](https://www.raapidinc.com/advisors/don-antonucci/): President and CEO, Providence Health Plan; former SVP, Blue Shield of California.
- [Terry Shaw](https://www.raapidinc.com/advisors/terry-shaw/): Former President and CEO, AdventHealth.
- [Daniel Chaitow](https://www.raapidinc.com/advisors/
…

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