AKASA vs Nym
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
| AKASA | Nym | |
|---|---|---|
| Pricing model | Enterprise contract (custom) · Subscription sized by transaction volume | Per-transaction / per-chart · Priced per successfully coded chart |
| Speed to go live | 60-90 days typical; longer multi-facility | 3-6 months, FHIR-based EHR integration |
| Automation model | Autonomous agents · GenAI automation with human review | Autonomous agents · Fully autonomous coding, zero human review |
| Built for | Mid-size groups, Enterprise systems | Mid-size groups, Enterprise systems |
| Security posture | HITRUST, SOC 2 Type II, HIPAA | SOC 2 Type II, HIPAA |
| Company maturity | 8 yrs (est. 2018) | 8 yrs (est. 2018) |
| Financial backing | $205M · Series B | $94.5M · Growth equity |
| Named customers | 2 named | 2 named |
| Published results | Specific numbers public | No public numbers |
| Documented integrations | 3 listed | 5 listed |
| Third-party validation | None found | None found |
Bottom line
- Pick AKASA if you run a mid-size or large health system, ideally on Epic, and want generative AI working claims, auths, and coding in-house instead of outsourcing staff.
- 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.
AKASA
Generative AI for coding and revenue cycle operations
- Founded
- 2018
- HQ
- South San Francisco, CA
- Stage
- Series B
- Raised
- $205M
What it does
- Generative AI medical coding trained on clinical documentation
- Clinical documentation integrity (CDI) review at scale
- Automates prior auth status and claims follow-up work
- LLMs fine-tuned on customer clinical and financial data
- Surfaces missed codes and documentation gaps pre-bill
Where it's strong
- Cleveland Clinic co-developed and is now deploying its GenAI CDI product across all US locations, a rare tier-one clinical validation.
- Deep pockets ($205M raised) and deployment across 650+ hospitals reduce vendor-viability risk.
- Focus on mid-revenue-cycle (coding plus CDI) fits health systems that want one vendor for both.
What buyers should weigh
- The company pivoted from RPA-style automation to generative AI, so ask which product generation you are actually buying.
- Flagship proof points are large academic systems; fit and pricing for smaller hospitals is less proven.
- Last disclosed raise was 2022, so probe current burn and roadmap funding.
Named customers
Cleveland Clinic · Duke University Health System
Integrations
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
Compare against the rest of Autonomous Medical Coding
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