raapid

JSON twin: https://www.healthaidb.com/software/raapid.json

Company Name

RAAPID

Product URL

https://www.raapidinc.com/retrospective-risk-adjustment/

Company URL

https://www.raapidinc.com/

Categories

Summary

RAAPID is a Neuro-Symbolic AI platform that automates risk-adjustment coding, chart review, and RADV audit workflows to improve HCC accuracy and generate MEAT evidence-backed documentation.

Description

Commercial SaaS and API platform for prospective and retrospective risk adjustment, RADV audit preparedness, and AI-as-a-Service; uses NLP, OCR, knowledge graphs and explainable AI to identify HCCs, produce MEAT evidence, reduce chart review time, and produce audit-ready outputs while integrating with EHRs and payer systems.

Api Available

yes

Certifications

Company Founding

2004

Company Offices

Compliance

Customers

Data Residency

Hosted on Azure and/or AWS (customer region options via cloud providers); US-focused

Data Standards

Deployment Model

Features

Id

P1375

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

proprietary/commercial

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for SaaS/API pricing and deployment options; offers demos and enterprise contracts (no public list prices).

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2022

Security Features

Specialties

Support Channels

System Requirements

Cloud-hosted (Azure/AWS); API integration; no on-prem requirements listed

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "RAAPID",
  "company_url": "https://www.raapidinc.com/",
  "company_offices": [
    "United States",
    "India"
  ],
  "company_founding": "2004",
  "product_url": "https://www.raapidinc.com/retrospective-risk-adjustment/",
  "categories": [
    "clinical",
    "administrative",
    "risk adjustment",
    "revenue cycle",
    "AI/analytics",
    "audit"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "links": [
    "https://www.raapidinc.com/",
    "https://www.raapidinc.com/retrospective-risk-adjustment/",
    "https://www.raapidinc.com/prospective-risk-adjustment/",
    "https://www.raapidinc.com/radv-audit/",
    "https://www.raapidinc.com/security/",
    "https://www.raapidinc.com/about-us/",
    "https://www.raapidinc.com/contact-us/",
    "https://www.raapidinc.com/press-room/microsoft-m12-backs-raapid-series-a-healthcare-ai/",
    "https://appsource.microsoft.com/en-us/product/web-apps/raapidinc1737396201493.riskadjustmentplatform?ocid=GTMRewards_WhatsNewBlog_riskadjustmentplatform_02212025",
    "https://www.linkedin.com/company/raapid/"
  ],
  "summary": "RAAPID is a Neuro-Symbolic AI platform that automates risk-adjustment coding, chart review, and RADV audit workflows to improve HCC accuracy and generate MEAT evidence-backed documentation.",
  "description": "Commercial SaaS and API platform for prospective and retrospective risk adjustment, RADV audit preparedness, and AI-as-a-Service; uses NLP, OCR, knowledge graphs and explainable AI to identify HCCs, produce MEAT evidence, reduce chart review time, and produce audit-ready outputs while integrating with EHRs and payer systems.",
  "target_users": [
    "health plans",
    "providers",
    "coding teams/coders",
    "clinical auditors",
    "risk adjustment managers",
    "revenue cycle teams",
    "tech/service partners"
  ],
  "specialties": [
    "risk adjustment",
    "HCC coding",
    "RADV audit support",
    "value-based care",
    "population health",
    "clinical documentation improvement",
    "revenue cycle management"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for SaaS/API pricing and deployment options; offers demos and enterprise contracts (no public list prices).",
  "license": "proprietary/commercial",
  "deployment_model": [
    "SaaS",
    "cloud-hosted",
    "API-based",
    "platform + managed services"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Neuro-symbolic Clinical AI for HCC detection",
    "Retrospective chart review automation",
    "MEAT evidence linking for each HCC code",
    "RADV-ready audit documentation and reports",
    "Chase list prioritization for high-value charts",
    "Centralized command center for program tracking",
    "Defensible documentation / evidence trail",
    "Productivity dashboards and reporting",
    "OCR for scanned/unstructured documents",
    "Knowledge-graph enabled clinical reasoning"
  ],
  "optional_modules": [
    "Platform + certified coding services",
    "Platform-only (self-code) option",
    "AI as a Service (connect AI to existing workflow)"
  ],
  "integrations": [
    "Microsoft Azure",
    "Amazon Web Services (AWS)"
  ],
  "data_standards": [
    "ICD-10",
    "CMS HCC models",
    "HL7 (general)",
    "FHIR (mentioned as supported in integrations/jobs)"
  ],
  "api_available": "yes",
  "system_requirements": "Cloud-hosted (Azure/AWS); API integration; no on-prem requirements listed",
  "compliance": [
    "HIPAA",
    "HITRUST i1",
    "SOC 2 Type 2"
  ],
  "certifications": [
    "HITRUST i1",
    "SOC 2 Type 2"
  ],
  "security_features": [
    "Encryption at rest and in transit",
    "Access management / RBAC",
    "Audit logging",
    "Network protections (Cloudflare/WAF implied)",
    "Monitoring (New Relic)"
  ],
  "privacy_features": [
    "HIPAA-compliant handling of PHI",
    "BAA (offered/available)",
    "Data minimization and anonymization capabilities (platform-level)"
  ],
  "data_residency": "Hosted on Azure and/or AWS (customer region options via cloud providers); US-focused",
  "customers": [
    "Multi-State Health Plan (case study)",
    "Florida-based health system (case study)"
  ],
  "user_reviews": [],
  "ratings": [
    "AmbitionBox 3.8/5 (employee reviews)",
    "Great Place to Work® Certified 2024 — 92% (Great Place to Work)"
  ],
  "support_channels": [
    "phone",
    "email",
    "webinars",
    "contact form"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite"
  ],
  "release_year": "2022",
  "integration_partners": [
    "Microsoft (M12 - investor)",
    "Microsoft Azure"
  ],
  "id": "P1375",
  "slug": "raapid",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/raapid.json"
  }
}