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CodaMetrix 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

CodaMetrixNym
Pricing model

Not published · Enterprise quotes only

Per-transaction / per-chart · Priced per successfully coded chart

Speed to go live

Four-plus months including silent learning phase

3-6 months, FHIR-based EHR integration

Automation model

Autonomous agents · autonomous coding with exception review

Autonomous agents · Fully autonomous coding, zero human review

Built for

Enterprise systems

Mid-size groups, Enterprise systems

Security posture

SOC 2 Type II, ISO 27001, HIPAA

SOC 2 Type II, HIPAA

Company maturity

7 yrs (est. 2019)

8 yrs (est. 2018)

Financial backing

$110M+ · Series B

$94.5M · Growth equity

Named customers

5 named

2 named

Published results

No public numbers

No public numbers

Documented integrations

1 listed

5 listed

Third-party validation

None found

None found

Bottom line

  • Pick CodaMetrix if you are a large academic or multi-specialty health system ready to fund a months-long project to automate coding at scale.
  • 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.

CodaMetrix

Autonomous coding spun out of Mass General Brigham

Founded
2019
HQ
Boston, MA
Stage
Series B
Raised
$110M+

What it does

  • Autonomous coding of professional-fee charges from clinical notes
  • Covers radiology, pathology, surgery, and other specialties
  • Routes low-confidence cases to human coders
  • Clinically enriches claims data for audit and compliance
  • Customers report 60% coding cost and 70% denial reductions

Where it's strong

  • Spun out of Mass General Brigham's own billing operation, so the product was proven on real academic-center volume before it was sold.
  • Reference customers are elite academic systems (MGB, Mount Sinai, Yale, Henry Ford) with published outcome figures.
  • Confidence-based routing to human coders is an honest architecture: it automates what it can prove, not everything.

What buyers should weigh

  • Value scales with volume; it is built for large Epic-based health systems, not small physician groups.
  • Coverage is by specialty and service line, so confirm your highest-volume departments are actually supported.
  • At roughly $110M raised it is well capitalized for its niche but much smaller than the RCM incumbents it displaces.

Named customers

Mass General Brigham · Mount Sinai Health System · Yale Medicine · Henry Ford Health · University of Colorado Medicine

Integrations

Epic (available in Epic Toolbox)
Full CodaMetrix profile →

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

EpicOracle CernerathenahealthMEDITECHAllscripts
Full Nym profile →

Compare against the rest of Autonomous Medical Coding

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