AI as a Service (AIaaS)
Neuro-Symbolic AI that integrates with existing systems and workflows
Api · Api OnlyCompany source
Company profile
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.
Company description RAAPID official website
Primary marketPopulation Health & Healthcare Analytics
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint
Where the Company operates
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Clinical focus
- active cancers
- Chronic diseases including diabetes
- HCC-eligible conditions
- heart failure
- hypertension
Who it serves
- Commercial ACA Plans
- Health Plans
- Healthcare Providers
- Healthcare Technology Companies
- Medicare Advantage Organizations (MAOs)
- Risk Adjustment Vendors
- State Medicaid Programs
Deployment & integration
Api Only · Cloud Saas · Hybrid deployment with recorded integration context.
Recorded integration context: clinical APIs, EHR systems, existing risk adjustment workflows.
Geographic context
MarketsUnited States
Company sourceOfficial website
Company milestones
Platform expansion
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
Partnerships
Recorded partners
- KLAS Advisors
- Strategic Industry Trifecta partners (Series A investors)
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
HCC CAPTURE
Chart review solution for health plans
Software · Cloud SaaSCompany source
HCC COMPASS
Chart audit & claim comparison solution for health plans
Software · Cloud SaaSCompany source
Prospective Risk Adjustment
Comprehensive care continuum optimization from pre-visit planning through post-visit HCC coding validation
Platform · HybridCompany source
RADV Audit Solution
Run MEAT evidence-first checks, generate export files, and manage responses with clear audit trails for extrapolation protection
Platform · Cloud SaaSCompany source
Retrospective Risk Adjustment
End-to-end Risk Adjustment platform to stratify high-risk patients, chart review, HCC identification, and MEAT validation workflow
Platform · Cloud SaaSCompany source
03 · Research intelligence
Research Intelligence evidence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Evidence position
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Publications & preprints
Evaluating the Impact of a System-Wide Prehospital Teleconsultation on Rural Stroke Transportation Efficiency.Stroke (Hoboken, N.J.) · May 1, 2026
Rural Field Consultation for Remote Acute Stroke Transport Decisions.The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques · Jun 3, 2025
Structured Referral Call Handling Process Improves Neonatal Transport Dispatch Times.American journal of perinatology · May 1, 2024
Telephone consultations with otolaryngology - head and neck surgery reduced emergency visits and specialty consultations in northern Alberta.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · Jun 22, 2020
Clinical validation
Clinical-trial records
No linked records are currently available.
Regulatory
Regulatory records
No linked records are currently available.
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
10%+ revenue and RAF uplift
Financial impact from improved risk capture
$2500+ per member appropriate revenue gain
Revenue optimization per patient
10:1 ROI delivered
Return on investment for clients
98% accuracy
Final coding accuracy with audit-ready documentation
92% out-of-the-box accuracy
AI accuracy without human review
60%+ reduction in chart review time
Efficiency improvement in coding workflows
<8 minutes chart review time
Average time per chart vs industry standard >40 minutes
4+ hours weekly saved by clinicians
Documentation time savings
10%+ reduction in hospitalization/ER visits
Clinical outcomes from proactive care
40%+ reduction in program cost
Operational cost savings
Health Plan - Risk Adjustment Quality Auditing
Active cancer capture in risk adjustment coding
Significantly improved accuracy in capturing active cancers
Large Health Plan
Risk adjustment coding operations improvement
96% AI code suggestion match rate (exceeded 90% target)
Technology and Strategy Innovation Partner
Diverse customer base support with rapid feedback implementation
High level of collaboration and speed in applying customer feedback
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Updates from RAAPID
Recent articles published on RAAPID's official website.
What If Risk Adjustment Coding Only Needed OnePass?
Read on RAAPIDRisk Adjustment Coding: A 2026 Guide to Defensible HCC Documentation and MEAT Criteria
Read on RAAPIDCY2027 Rate Announcement: What It Actually Costs Your Risk Scores
Read on RAAPIDRetrospective Risk Adjustment: How Health Plans Build Defensible Coding Programs in 2026
Read on RAAPIDHow Neuro-Symbolic AI Enables Defensible Coding in Risk Adjustment
Read on RAAPID07 · HAIC coverage
Coverage and analysis
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Company sources and channels
Curated official destinations from the active Company record.
09 · Market pathway
Additional Companies in this Market
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Population Health & Healthcare Analytics
Companies providing AI-powered analytics for population health management, healthcare data integration and analysis, risk stratification, care gap identification, or value-based care analytics. Focuses on analyzing data across patient populations to improve outcomes at scale and enable data-driven decision-making across health systems.
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10 · Pro research
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Expanded Company research is in development.
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Deeper Company research is coming soon.
Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.
Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.