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Anomaly vs Machinify

Two Payment Integrity & Underpayments vendors, side by side. Facts from public sources; judgments are ours.

At a glance

Derived from public facts · a rough scale, not a ranking

AnomalyMachinify
Pricing model

Enterprise contract (custom) · custom, ROI-priced after proof of concept

Contingency (pay from recoveries) · contingency and blended fee models

Speed to go live

claims-feed sidecar, no data extracts claimed

deep payer claims data integration

Automation model

Software platform · denial prediction from payer behavior

Software platform · AI payment integrity plus services

Built for

Enterprise systems, Mid-size groups, Billing companies

Payers

Security posture

HIPAA

HITRUST, SOC 2 Type II

Company maturity

6 yrs (est. 2020)

10 yrs (est. 2016)

Financial backing

$34M · Series A

Private equity owned (New Mountain Capital)

Named customers

2 named

None public

Published results

Specific numbers public

Specific numbers public

Documented integrations

1 listed

None documented

Third-party validation

None found

None found

Bottom line

  • Pick Anomaly if you want to predict payer denials and underpayments from actual claims behavior before submitting.
  • Pick Machinify if you are a health plan moving payment integrity from post-pay recovery vendors to AI-driven pre-pay accuracy.

Anomaly

AI payment intelligence across payers and providers

Founded
2020
HQ
New York, NY
Stage
Series A
Raised
$34M

What it does

  • Predicts claim denials before submission
  • Detects underpayments, downgrades, and policy deviations
  • Automates recovery of misadjudicated claims
  • Tracks payer behavior against contract terms
  • Feeds intelligence into managed care negotiations

Where it's strong

  • Prediction quality is unusually well documented: a 100M-claim study across two large systems flagged $828M in denials at 97% precision.
  • Distribution through Availity means the intelligence can reach revenue cycle teams inside a clearinghouse workflow they already use.
  • Deployed at 20+ health systems averaging over $4B in annual net patient revenue, so it has proven itself at enterprise scale.

What buyers should weigh

  • Still a young Series A company with $34M raised; expect a small team and evolving product rather than a mature suite.
  • It is an intelligence layer, not workflow software, so your team still executes corrections, appeals, and negotiations elsewhere.
  • The models need large claim volumes to shine, which makes it a better fit for big systems than small groups.

Named customers

Bronson Healthcare · Availity (embeds Smart Response as Predictive Edits)

Integrations

Availity clearinghouse
Full Anomaly profile →

Machinify

AI payment integrity and accuracy platform for health plans

Founded
2016
HQ
Palo Alto, CA
Stage
Private equity owned (New Mountain Capital)
Raised
n/a

What it does

  • AI-driven claims auditing and payment accuracy
  • Clinical chart and DRG validation
  • Itemized bill review
  • Subrogation and coordination of benefits recovery
  • Prepay and postpay claim analytics

Where it's strong

  • Scale few rivals match: more than 2,000 employees serving over 60 health plans, including 13 of the top 20 payers.
  • Combines Machinify's AI software with decades of recovery and audit operations from Rawlings, Apixio PI, and VARIS.
  • New Mountain Capital backing and a $5B combined valuation signal long-term investment in the platform.

What buyers should weigh

  • Integrating four companies merged in 2024 and 2025 carries execution risk while systems and teams consolidate.
  • Built for payers, so it is not a fit for provider organizations shopping for revenue tools.
  • Payment integrity vendors are typically paid on recoveries, so incentives should be reviewed carefully during contracting.
Full Machinify profile →

Compare against the rest of Payment Integrity & Underpayments

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