Anomaly vs Rivet
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
| Anomaly | Rivet | |
|---|---|---|
| Pricing model | Enterprise contract (custom) · custom, ROI-priced after proof of concept | Not published · Quote-based |
| Speed to go live | claims-feed sidecar, no data extracts claimed | Connects to 30+ PM and clearinghouse systems |
| Automation model | Software platform · denial prediction from payer behavior | Software platform · estimates, underpayments, denials tools |
| Built for | Enterprise systems, Mid-size groups, Billing companies | Small practices, Mid-size groups, Enterprise systems, Billing companies |
| Security posture | HIPAA | No certifications published |
| Company maturity | 6 yrs (est. 2020) | 8 yrs (est. 2018) |
| Financial backing | $34M · Series A | $31.5M · Acquired by Zelis (January 2026) |
| Named customers | 2 named | None public |
| Published results | Specific numbers public | No public numbers |
| Documented integrations | 1 listed | 3 listed |
| 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 Rivet if your practice or billing team needs patient estimates, underpayment recovery, and denial tools that plug into your current PM system.
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
Rivet
Estimates, underpayment recovery, and denial workflows
- Founded
- 2018
- HQ
- Salt Lake City, UT
- Stage
- Acquired by Zelis (January 2026)
- Raised
- $31.5M
What it does
- Upfront patient cost estimates and good faith estimates
- Payer contract modeling down to the TIN level
- Automated underpayment detection against contracted rates
- Denial and payment variance dashboards
- Worklists for recovery project management
Where it's strong
- Unusually broad integration surface for its size, with 30+ practice management and clearinghouse connections including Epic and athenahealth.
- It pairs front-end estimates with back-end underpayment recovery, so one contract dataset powers both.
- Zelis ownership brings the resources and payer network of a much larger payments company.
What buyers should weigh
- The January 2026 Zelis acquisition means roadmap, pricing, and support models could change; ask hard questions about product continuity.
- Zelis primarily serves 750+ payers, and some provider organizations will be uneasy having their underpayment data inside a payer-aligned vendor.
- Its history is strongest with physician groups and mid-size practices, less proven as an enterprise hospital platform.
Integrations
Compare against the rest of Payment Integrity & Underpayments
Deciding between these two?
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