Fathom vs RapidClaims
Two Autonomous Medical Coding vendors, side by side. Facts from public sources; judgments are ours.
At a glance
Derived from public facts · a rough scale, not a ranking
| Fathom | RapidClaims | |
|---|---|---|
| Pricing model | Not published · custom quote based on coding volume | Not published |
| Speed to go live | 4 to 6 months, EHR integration and validation | Claims six weeks to production via API |
| Automation model | Autonomous agents · autonomous coding, human review fallback | Autonomous agents · Human review on low-confidence charts |
| Built for | Enterprise systems, Billing companies | Mid-size groups, Enterprise systems, Billing companies |
| Security posture | HITRUST, SOC 2 Type II, HIPAA | SOC 2 Type II, HITRUST, HIPAA |
| Company maturity | 10 yrs (est. 2016) | 3 yrs (est. 2023) |
| Financial backing | $61M+ · Series B | $11M · Series A |
| Named customers | 2 named | None public |
| Published results | Specific numbers public | Specific numbers public |
| Documented integrations | 3 listed | 5 listed |
| Third-party validation | None found | None found |
Bottom line
- Pick Fathom if you code high chart volumes and want most encounters coded autonomously, and can fund a multi-month EHR integration.
- Pick RapidClaims if you want one AI platform spanning coding, scrubbing, and denials rather than a standalone coding engine.
Fathom
High-volume autonomous coding across specialties
- Founded
- 2016
- HQ
- San Francisco, CA
- Stage
- Series B
- Raised
- $61M+
What it does
- Codes encounters autonomously with deep learning and NLP
- Automates 90%+ of coding volume in many deployments
- Covers ED, radiology, primary care, and other specialties
- Routes low-confidence charts to human coders
- Improves HCC/RAF capture for value-based contracts
- Reduces coding cost, denials, and days to bill
Where it's strong
- Highest published automation rates in the autonomous coding market, with customer-verified results like Your Health's 95.5% automation at 98.3% accuracy.
- Epic Toolbox listing and multi-specialty deployment model shorten implementation for health systems.
- Strategic backing from CVS Health Ventures and clinical investors like Cedars-Sinai signals enterprise credibility.
What buyers should weigh
- Narrowly focused on coding, so you still need separate vendors for the rest of the revenue cycle.
- Automation rates vary a lot by specialty and documentation quality; your mix may not hit headline numbers.
- Total disclosed funding is modest relative to peers, worth probing on enterprise support depth.
Named customers
ApolloMD · Your Health
Integrations
RapidClaims
Autonomous AI coding and claim scrubbing across the revenue cycle
- Founded
- 2023
- HQ
- New York, NY
- Stage
- Series A
- Raised
- $11M
What it does
- Autonomous coding across 20+ specialties (RapidCode)
- Pre-bill claim scrubbing and edits
- Clinical documentation improvement prompts
- Denial management and appeals (RapidRecovery)
- AR follow-up within one workflow
- Audit trails for every coded chart
Where it's strong
- Covers documentation through denial appeal in one platform, so you avoid stitching point tools.
- Claims 98% coding accuracy with production deployment in about six weeks.
- Reference results include a 30% A/R day reduction and 40% lower coding cost.
What buyers should weigh
- No customers are publicly named, so reference checks require NDA conversations.
- At $11M raised it is earlier-stage than incumbent coding vendors.
- Accuracy claims are self-reported; validate on your own specialty mix in a pilot.
Integrations
Compare against the rest of Autonomous Medical Coding
Deciding between these two?
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