Clean ClAImsFirst Pass

Fathom 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

FathomMaverick AI
Pricing model

Not published · custom quote based on coding volume

Not published · custom, tied to coding volume

Speed to go live

4 to 6 months, EHR integration and validation

customers typically live within 90 days

Automation model

Autonomous agents · autonomous coding, human review fallback

Autonomous agents · direct-to-bill autonomous coding

Built for

Enterprise systems, Billing companies

Mid-size groups, Enterprise systems, Billing companies

Security posture

HITRUST, SOC 2 Type II, HIPAA

HIPAA

Company maturity

10 yrs (est. 2016)

7 yrs (est. 2019)

Financial backing

$61M+ · Series B

$11.5M (per PitchBook) · Seed plus strategic investment

Named customers

2 named

1 named

Published results

Specific numbers public

Specific numbers public

Documented integrations

3 listed

1 listed

Third-party validation

None found

None found

Bottom line

  • Pick Fathom if you code high chart volumes and want most encounters coded autonomously, and can fund a multi-month EHR integration.
  • Pick Maverick AI if you want charts coded and sent to billing without human coders, with 85 percent direct-to-bill.

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

Epic (Toolbox listed)Oracle Health (Cerner)athenahealth
Full Fathom profile →

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

Infinx RCM platform
Full Maverick AI profile →

Compare against the rest of Autonomous Medical Coding

Deciding between these two?

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