RapidClaims
Also known as: RapidCode, RapidScrub, RapidCDI, RapidRecovery, RapidRules, RapidVBC
Mid revenue cycle platform running autonomous coding, value-based care coding, pre-submission scrubbing and denial recovery over one data layer, with rules that encode the customer's SOPs and payer contracts, evidence-mapped audit trails and escalation of complex cases to certified coders.
RapidClaims runs the mid revenue cycle as one system. RapidCode codes 90 to 98 percent of charts autonomously across 25 or more specialties, mapping every coding decision back to the clinical evidence, guideline and rule behind it; RapidVBC covers value-based care coding and risk adjustment; RapidScrub validates every claim against 119 million smart edits before submission; and RapidRecovery classifies every denial, prioritizes it by recovery value, drafts payer-specific appeals and follows up, including AI payer calls.
RapidRules encodes the customer's SOPs, payer contracts, specialty protocols and compliance requirements and mines payer rule sets automatically, and every denial feeds back into the coding and scrubbing rules within 24 hours. Complex cases escalate with full context to RapidClaims' own certified coding team. RapidCode syncs bi-directionally, FHIR native with HL7 support, with Epic, Cerner, Meditech, athenahealth, eClinicalWorks, NextGen, Allscripts, Greenway, DrChrono and ModMed, and goes live on about 500 sample charts in around six weeks. RapidClaims states SOC 2 Type II and HIPAA, with HITRUST described as ready rather than certified. It publishes no API reference, access controls, hosting details or rates.
Vendor details
Canonical URL
https://www.rapidclaims.ai
Category
Healthcare agent
Company status
independent
Use cases & customers
Target customers
Deployment options
Integrations
FHIR native, HL7 compatible bi-directional sync with Epic, Cerner, Meditech, athenahealth, eClinicalWorks, NextGen, Allscripts, Greenway, DrChrono and ModMed; payer appeals and AI payer calls. Described as API-first; no public API reference.
In practice
Coding, scrubbing and denials sit with different vendors and revenue leaks at every handoff. RapidClaims runs them over one data layer, with every denial feeding back into coding and scrubbing rules within 24 hours.
Autonomous coding vendors want thousands of sample charts before go live. RapidClaims states it deploys on about 500.
You need every code to be defensible. Each coding decision maps back to the clinical evidence, guideline and rule that support it.
Sources & related URLs
Agentic Index coverage score
8.0 / 14 capabilities · 57%
| Integrations & Tool Calling | Full |
|---|---|
|
RapidCode syncs bi-directionally, FHIR native with HL7 support, with Epic, Cerner, Meditech, athenahealth, eClinicalWorks, NextGen, Allscripts, Greenway, DrChrono and ModMed, and RapidRecovery drafts payer-specific appeals and follows up, including AI payer calls. Sourcerapidclaims.ai/products/rapidcoderead 2026-09-29 |
|
| Workflow Orchestration | Full |
|
Coding, scrubbing against 119M+ edits, submission and denial recovery run over one data layer, with conditions in the flow: 90 to 98 percent of charts code autonomously while complex cases escalate, and RapidRecovery classifies each denial, prioritizes it by recovery value, drafts the appeal and follows up. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Knowledge Grounding & RAG | Full |
|
RapidRules encodes the customer's SOPs, payer contracts, specialty protocols and compliance requirements and mines payer rule sets automatically, alongside real-time CMS and payer validation, a 10,000+ rule E&M engine and 119M+ smart edits: maintained rule structures that grow without retraining. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Human Oversight & Guardrails | Partial |
|
90 to 98 percent of charts are coded autonomously and complex cases escalate with full context to RapidClaims' own certified coding team, with human-in-the-loop on every escalation. No review or approval step comes before autonomous codes commit, and the escalation goes to the vendor's own coders as a service rather than to a gate the customer operates. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Security, Identity & Governance | Partial |
|
SOC 2 Type II (independently audited) and HIPAA are stated, with HITRUST only ready or aligned. No SSO, roles or permissions a buyer operates are documented, and ISO 27001 is not stated on the current pages. Sourcerapidclaims.ai/who-we-serveread 2026-09-29 |
|
| Observability & Auditability | Full |
|
Every coding decision maps back to the clinical evidence, guideline and rule that support it, with transparent audit trails and E&M analysis: a per-decision record of what the agent did. Sourcerapidclaims.ai/products/rapidcoderead 2026-09-29 |
|
| Memory & State Persistence | Not documented |
|
No agent memory with a scope or lifetime is documented. The denial feedback into coding and scrubbing rules is a learning loop over rules rather than memory, and RapidRules holds the customer's rules. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Deployment & Data Residency | Not documented |
|
No hosting provider, region, residency choice or customer-environment option is documented; the security lines cover encryption and certifications only. Sourcerapidclaims.airead 2026-09-29 |
|
| Prebuilt Agents, Templates & Packs | Full |
|
Named products that each do their own job: RapidCode (autonomous coding), RapidVBC (value-based care coding and risk adjustment), RapidRecovery (denials and appeals), RapidScrub (pre-submission edits) and RapidRules (rules), sold together as RapidRCM. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Triggers & Channel Coverage | Full |
|
Every chart is coded as it comes through, every claim is validated before submission and every denial is classified and worked as it arrives, with no one invoking each item. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Model Flexibility & Routing | Not documented |
|
No model provider, routing policy or customer choice of model is documented (provider undisclosed). Sourcerapidclaims.ai/products/rapidcoderead 2026-09-29 |
|
| APIs, SDKs & MCP Extensibility | Partial |
|
The platform is described as API-first. No API reference, developer documentation or access path is published, and the sitemap carries no developer pages. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Testing, Debugging & Optimization | Partial |
|
Every denial feeds back into the customer's coding and scrubbing rules within 24 hours and the engine adapts from outcomes, and go-live runs on 500 sample charts. How a change is measured is not documented. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
| Browser & Computer Use | Not documented |
|
No browser, desktop or portal operation by the agent is documented; claims move through EHR and payer integrations, and AI payer calls are a voice channel rather than computer use. Sourcerapidclaims.ai/products/rapidclaims-rcmread 2026-09-29 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Not published; subscription or usage based, quoted by claim volume, size and features
claim volume (subscription or usage based)
What is public
No rates are published. RapidClaims' own pages describe a subscription or usage-based model that varies with claim volume, organization size and features, and publish accuracy, autonomy and throughput figures.
Billing mechanics
Subscription or usage based, scaled up or down with claim volume, organization size and required features, and quoted individually.
Cost watchouts
Complex charts escalate to RapidClaims' certified coding team; confirm how that work is priced and how the 90 to 98 percent autonomous share varies by specialty.
Variable cost rationale
Pricing that scales with claim volume tracks throughput; the unit and rate are not published.
Additional watchouts
Ask whether escalated charts handled by RapidClaims' own coding team are billed differently, which products (RapidCode, RapidVBC, RapidRecovery) are in the quote, and what minimum volume applies. HITRUST is stated as ready, not certified.
Sales call required
Yes, required for paid access
Free / trial
No free tier or self serve trial; evaluation runs through a demo, and go-live needs about 500 sample charts
Key ambiguities
No first party rate is published; RapidClaims describes a subscription or usage-based model quoted individually. Implementation time is quoted at both two to three weeks and six weeks.
Missing data
The actual per record rate, whether unautomated charts are billed, module level pricing, and minimum volume commitments.
Related vendors
- Abridge — Enterprise ambient AI documentation platform that turns clinical…
- Adonis — AI orchestration platform for revenue cycle management whose…
- AKASA — Generative AI for the hospital mid revenue cycle: Coding and CDI…
- Alaffia Health — Agentic AI for health plan claims operations: utilization…
- AlethianAI — Connected AI agents for medical practices on one patient record: AI…
- Ambience Healthcare — AI platform for health systems pairing an ambient scribe with…
Alternatives to RapidClaims
The closest documented capability profiles to RapidClaims among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Waystar7.5 / 14A lighter documented profile than RapidClaims
- Hyro7.0 / 14A lighter documented profile than RapidClaims
- Anterior8.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Testing, Debugging & Optimization
- Cedar7.5 / 14Adds documented Memory & State Persistence
- CoOrdio8.5 / 14Adds documented Browser & Computer Use
- FinThrive7.5 / 14Adds documented Browser & Computer Use
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded