| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AML and transaction monitoring | Tax and compliance | 0% | 108 of 108 | 100% | 5 | under 10 labels · led by ComplyAdvantage at 33% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |
Verbatim evidence the judge attached to positive labels.
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“NICE Actimize & Oracle Mantas ... Outdated architecture: Monolithic systems that can't scale horizontally” GLM 4.7 FlashX · AML monitoring · negative prompt · hard negative
“critiquing legacy vendors like NICE Actimize, SAS AML, Oracle Mantas, and FICO TONBELLER (Siron) for their shortcomings” Muse Glimmer 30B · AML monitoring · negative prompt · soft negative
“Part of the "legacy triad" (with Actimize and SAS) that analysts frequently call out.” DeepSeek V4 Flash · AML monitoring · negative prompt · soft negative
“notoriously difficult for smaller or mid-market organizations” Gemini 3.5 Flash · AML monitoring · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 15 of the 15 answers that named Oracle Mantas and are not a share of its labels.
Sixty-seven of the sixty-seven domain citations in answers naming Oracle Mantas came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Oracle Mantas's own pages state, read October 5, 2026: oracle.com/ae/financial-services/aml-financial-crime-compliance, oracle.com/br/financial-services/aml-financial-crime-compliance, oracle.com/apac/financial-services/aml-financial-crime-compliance, oracle.com/asean/financial-services/aml-financial-crime-compliance, oracle.com/latam/financial-services/aml-financial-crime-compliance. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Oracle Mantas's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Oracle Mantas, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Oracle Mantas by email, built from the raw record of the edition. It shows: