About RAAPID
RAAPID is a healthcare AI company that delivers neuro-symbolic AI-powered risk adjustment solutions for value-based care organizations. The company serves health plans (including Medicare Advantage, ACA, and Medicaid programs), healthcare providers, and technology service partners with an end-to-end platform for risk adjustment coding and HCC (Hierarchical Condition Category) capture. RAAPID's platform combines natural language processing, machine learning, knowledge graphs, and document AI to automate chart review, identify HCC codes, validate MEAT (Monitor, Evaluate, Assess, Treat) evidence, and prepare organizations for RADV audits. The company claims to reduce chart review time by over 60%, deliver 98% accuracy with 92% out-of-the-box AI accuracy, and provide 10:1 ROI. RAAPID's solutions address the complete value-based care journey including retrospective risk adjustment (chart review and HCC identification), prospective risk adjustment (pre-visit planning and gap closure), RADV audit preparation, and AI-as-a-Service API integration. The platform processes over 8 million patient records annually and serves more than 100 healthcare clients. RAAPID was recognized in the 2026 KLAS Emerging Company Spotlight with A+ grades for support and customer satisfaction. The company recently raised Series A funding and emphasizes breaking the healthcare trilemma by delivering accuracy, speed, and cost-effectiveness simultaneously.
Clinical Focus
Medical conditions and clinical areas addressed by RAAPID.
Who It Serves
Milestones & Awards
Recent Milestones
Series A funding raised with strategic Industry Trifecta partners; Named to 2026 KLAS Emerging Company Spotlight with A+ grades; Launched OnePass Challenge for single-review chart processing; Processing 8M+ annual patient records across 100+ healthcare clients
Awards & Recognition
2026 KLAS Emerging Company Spotlight with A+ grades on Support and Would Buy Again (Emerging Data, n=5)
Key Partnerships
Social & Media
Latest Updates
CY2027 Rate Announcement: What It Actually Costs Your Risk Scores
RADV Audit Guidelines: 2026 Rules, MEAT Criteria, and Defensible Documentation
How Neuro-Symbolic AI Enables Defensible Coding in Risk Adjustment
What If Risk Adjustment Coding Only Needed OnePass?
Retrospective Risk Adjustment: How Health Plans Build Defensible Coding Programs in 2026
Company Details
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