CodaMetrix vs Maverick AI
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 | Maverick AI | |
|---|---|---|
| Pricing model | Not published · Enterprise quotes only | Not published · custom, tied to coding volume |
| Speed to go live | Four-plus months including silent learning phase | customers typically live within 90 days |
| Automation model | Autonomous agents · autonomous coding with exception review | Autonomous agents · direct-to-bill autonomous coding |
| Built for | Enterprise systems | Mid-size groups, Enterprise systems, Billing companies |
| Security posture | SOC 2 Type II, ISO 27001, HIPAA | HIPAA |
| Company maturity | 7 yrs (est. 2019) | 7 yrs (est. 2019) |
| Financial backing | $110M+ · Series B | $11.5M (per PitchBook) · Seed plus strategic investment |
| Named customers | 5 named | 1 named |
| Published results | No public numbers | Specific numbers public |
| Documented integrations | 1 listed | 1 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 Maverick AI if you want charts coded and sent to billing without human coders, with 85 percent direct-to-bill.
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
Maverick AI
Real-time autonomous medical coding for revenue cycle teams
- Founded
- 2019
- HQ
- n/a
- Stage
- Seed plus strategic investment
- Raised
- $11.5M (per PitchBook)
What it does
- Real-time autonomous coding via the mCoder platform
- 85%+ direct-to-bill rate without human touch
- Codes most cases in seconds
- Reported 95% coding accuracy
- Streams coded results straight to billing systems
Where it's strong
- Real-time coding with a published 85%+ direct-to-bill rate, ahead of the batch processing common in the category.
- Proven at national scale through the RadNet implementation across US imaging sites.
- The Infinx investment and partnership give it a distribution channel into established RCM operations.
What buyers should weigh
- Widely cited reports of a $47M 2025 raise belong to competitor Nym, not Maverick; Maverick's disclosed funding is about $11.5M, so weigh vendor financial durability.
- Public proof points are concentrated in radiology; ask for evidence in other specialties.
- Roughly 15% of cases still route to human coders, so plan for a review workflow.
Named customers
RadNet
Integrations
Compare against the rest of Autonomous Medical Coding
Deciding between these two?
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