CMS Open Payments · Tool
Renalytix AI, Inc. vs Ventana Medical Systems, Inc.
Side-by-side comparison of CMS Open Payments data for Program Year 2024. Select different companies below to start a new comparison.
A larger reported total is not "better" or "worse", it is a neutral fact about disclosure volume; a reported payment documents a financial relationship, not evidence of wrongdoing.
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Which recorded payment profile is more concentrated?
Renalytix AI, Inc. has the more concentrated recorded General Payments recipient profile in Program Year 2024: its recipient-distribution HHI is 2,909, versus 2,476 for the other company. Its single largest recorded recipient represents 38.1% of that company's General Payments recipient total.
HHI summarizes how payments are distributed across recorded recipients: higher means a less evenly distributed recipient pattern. This is a description of CMS-reported General Payments only, not a finding about conduct, prescribing, quality, or wrongdoing. Read it with the recipient count and underlying records below.
- Renalytix AI, Inc.
- HHI 2,909 · top recipient 38.1%
- Ranked #580 of 1,838 companies by HHI
- Ventana Medical Systems, Inc.
- HHI 2,476 · top recipient 38.2%
- Ranked #656 of 1,838 companies by HHI
Payment Overview
Renalytix AI, Inc.
- Total Payments
- $5.9M
- % of Industry
- 0.0%
- Transactions
- 1,603
- Avg per Transaction
- $3.7K
- Recipients
- 1,559
- Avg per Recipient
- $3.8K
- Payment Types
- 2
- Top Payment Type
- Consulting Fee
Ventana Medical Systems, Inc.
- Total Payments
- $5.9M
- % of Industry
- 0.0%
- Transactions
- 343
- Avg per Transaction
- $17.3K
- Recipients
- 69
- Avg per Recipient
- $86.2K
- Payment Types
- 6
- Top Payment Type
- Royalty or License
Highlighted values indicate the higher figure for each metric.
Total payments compared
Renalytix AI, Inc. vs Ventana Medical Systems, Inc. - total reported payments in CMS Open Payments PY2024
General Payment Types Breakdown
Category shares use each company's General Payments total, not the all-tracks (General + Research + Ownership) hero figure.
Renalytix AI, Inc.
76.3%
23.7%
Ventana Medical Systems, Inc.
85.3%
11.7%
1.7%
1.1%
0.1%
0.1%
Top 5 General-Payment Recipients
This list uses CMS detailed General Payments records only; it excludes research and ownership/investment records, so it does not equal the all-category totals above. A reported payment documents a financial relationship, not evidence of wrongdoing; a higher total reflects reporting volume, not conduct. Verify directly at openpaymentsdata.cms.gov.
Renalytix AI, Inc.
- 1
STEVEN COCA
$50,000.00 · 10 txns
- 2
GIRISH N NADKARNI
$50,000.00 · 10 txns
- 3
ARVIND MADAN
$292.10 · 6 txns
- 4
WILLIAM E TORRES
$233.89 · 7 txns
- 5
SARAH E LEMOINE
$198.59 · 11 txns
Ventana Medical Systems, Inc.
- 1
UNIVERSITY OF WASHINGTON MED CTR
$250,466.54 · 7 txns
- 2
CHILDRENS HOSPITAL MEDICAL CENTER
$175,151.09 · 4 txns
- 3
DANA-FARBER CANCER INSTITUTE
$99,227.75 · 8 txns
- 4
MASSACHUSETTS GENERAL HOSPITAL
$34,331.92 · 3 txns
- 5
HOSPITAL OF THE UNIV OF PENNA
$33,200.00 · 1 txns
Summary Comparison
| Metric | Renalytix AI, Inc. | Ventana Medical Systems, Inc. |
|---|---|---|
| Total Payments | $5.9M | $5.9M |
| % of Industry Total | 0.0% | 0.0% |
| Transaction Count | 1,603 | 343 |
| Avg per Transaction | $3.7K | $17.3K |
| Recipient Count | 1,559 | 69 |
| Avg per Recipient | $3.8K | $86.2K |
| Payment Type Count | 2 | 6 |
| Top Payment Type | Consulting Fee | Royalty or License |
Data Source: Centers for Medicare & Medicaid Services (CMS) Open Payments, Program Year 2024. Data includes general payments, research payments, and physician ownership/investment interests as required by the Physician Payments Sunshine Act. All companies in the CMS Open Payments company corpus are available in the selector. Browse all companies →
Every figure on PlainPharmaWatch is rendered directly from federal source data, no number is typed in by an editor. This page draws directly on federal source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.