Nym 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
| Nym | RapidClaims | |
|---|---|---|
| Pricing model | Per-transaction / per-chart · Priced per successfully coded chart | Not published |
| Speed to go live | 3-6 months, FHIR-based EHR integration | Claims six weeks to production via API |
| Automation model | Autonomous agents · Fully autonomous coding, zero human review | Autonomous agents · Human review on low-confidence charts |
| Built for | Mid-size groups, Enterprise systems | Mid-size groups, Enterprise systems, Billing companies |
| Security posture | SOC 2 Type II, HIPAA | SOC 2 Type II, HITRUST, HIPAA |
| Company maturity | 8 yrs (est. 2018) | 3 yrs (est. 2023) |
| Financial backing | $94.5M · Growth equity | $11M · Series A |
| Named customers | 2 named | None public |
| Published results | No public numbers | Specific numbers public |
| Documented integrations | 5 listed | 5 listed |
| Third-party validation | None found | None found |
Bottom line
- Pick Nym if you have high-volume ED, radiology, or outpatient coding and can fund a months-long integration to take humans out of the loop entirely.
- Pick RapidClaims if you want one AI platform spanning coding, scrubbing, and denials rather than a standalone coding engine.
Nym
Explainable autonomous coding for ED and outpatient
- Founded
- 2018
- HQ
- New York, NY
- Stage
- Growth equity
- Raised
- $94.5M
What it does
- Fully autonomous coding with zero human touch
- Assigns ICD-10 and CPT codes in seconds per chart
- Explainable audit trail justifying every code
- Covers emergency medicine, radiology, outpatient surgery, urgent care
- Processes over six million charts annually
Where it's strong
- True zero-touch autonomous coding, with codes assigned in seconds and no human in the loop for in-scope charts.
- Explainability is the differentiator: every code comes with a traceable justification, which audit and compliance teams value.
- Deployed in 40+ US hospitals including Geisinger and Ochsner, processing over six million charts a year.
What buyers should weigh
- Supports six service lines (ED, radiology, outpatient surgery, outpatient visits, inpatient professional, urgent care); everything else still needs coders.
- Charts falling outside the engine's confidence threshold route back to your human coding staff, so plan for a hybrid operation.
- A new CEO (Lori Jones) arrived in April 2026, so watch for strategy and roadmap shifts.
Named customers
Geisinger · Ochsner 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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