RapidClaims
Agent55Agent Readiness: 55/100. Top 25%. Measured by StartupHub.ai. Median 41.Trust85Data Trust: 85/100. Top 25%. Measured by StartupHub.ai. Median 61.AI-powered revenue cycle management platform for healthcare, automating coding and preventing claim denials.
About
RapidClaims provides an AI-powered Revenue Cycle Intelligence Platform that automates key RCM processes to supercharge reimbursements, eliminate errors, and accelerate cash flow for healthcare organizations. Its core offerings include AI-powered medical coding (Rapid Code™), denial prevention and recovery (Rapid Scrub™), and clinical documentation improvement (Rapid CDI™). The platform also supports value-based care initiatives by improving risk-adjusted coding and population health analytics.
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Key facts
- Website
- rapidclaims.ai
- Headquarters
- New York, United States
- Founded
- 2023
- Employees
- 78
- Total funding
- $11M (Series A)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 2 Apr 2025 | Series A | $8M | |
| 15 Feb 2024 | Seed | $3M | Together Fund |
Tech stack
Detected on rapidclaims.ai, last scanned 6 Nov 2026. Run your own scan
- Compliance
- SOC 2, HIPAA
- Frontend
- Next.js, Tailwind CSS
- Auth
- Auth0
- CDN
- Vercel
- Email provider
- Google Workspace
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Frequently asked
Is RapidClaims trustworthy and reputable?
StartupHub's Data Trust & Reputation score for RapidClaims is 85 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has RapidClaims raised?
RapidClaims has raised a total of $11M in funding. The most recent round on record is Series A.
How many employees does RapidClaims have?
RapidClaims has approximately 78 people on record.
SEC filings, insider activity, nonprofit links and pay benchmarks for RapidClaims:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules
