CodaMetrix vs Fathom
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
| CodaMetrix | Fathom | |
|---|---|---|
| Pricing model | Not published · Enterprise quotes only | Not published · custom quote based on coding volume |
| Speed to go live | Four-plus months including silent learning phase | 4 to 6 months, EHR integration and validation |
| Automation model | Autonomous agents · autonomous coding with exception review | Autonomous agents · autonomous coding, human review fallback |
| Built for | Enterprise systems | Enterprise systems, Billing companies |
| Security posture | SOC 2 Type II, ISO 27001, HIPAA | HITRUST, SOC 2 Type II, HIPAA |
| Company maturity | 7 yrs (est. 2019) | 10 yrs (est. 2016) |
| Financial backing | $110M+ · Series B | $61M+ · Series B |
| Named customers | 5 named | 2 named |
| Published results | No public numbers | Specific numbers public |
| Documented integrations | 1 listed | 3 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 Fathom if you code high chart volumes and want most encounters coded autonomously, and can fund a multi-month EHR integration.
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
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
Compare against the rest of Autonomous Medical Coding
Deciding between these two?
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