# Oracle Mantas: how AI models rank it, October 2026

Finance AI Recommendation Index, October 2026 Edition. Named in 5 judge labels across 1 categories by 5 of 14 models. Page: https://finance-ai-index.com/vendors/oracle-mantas/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| AML and transaction monitoring | 0% | 108 | 100% | 5 |

## And against it

- "NICE Actimize & Oracle Mantas ... Outdated architecture: Monolithic systems that can't scale horizontally" (GLM 4.7 FlashX, AML monitoring)
- "critiquing legacy vendors like NICE Actimize, SAS AML, Oracle Mantas, and FICO TONBELLER (Siron) for their shortcomings" (Muse Glimmer 30B, AML monitoring)
- "Part of the "legacy triad" (with Actimize and SAS) that analysts frequently call out." (DeepSeek V4 Flash, AML monitoring)
- "notoriously difficult for smaller or mid-market organizations" (Gemini 3.5 Flash, AML monitoring)

## In its own words

What Oracle Mantas's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: We empower anti–money laundering (AML) and compliance leaders with the right tools to protect their institution from illicit actors and regulatory fines while helping reduce their compliance costs. (https://www.oracle.com/ae/financial-services/aml-financial-crime-compliance)
- For: anti–money laundering (AML) and compliance leaders (https://www.oracle.com/ae/financial-services/aml-financial-crime-compliance)

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, October 2026 Edition, finance-ai-index.com.