Oracle Mantas
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Oracle Mantas has 5.
Why models recommend it
No positive label carried a quote.
What gives them pause
“Described by industry veterans as having limited real-time capabilities and inflexible rule configurations.”GLM 4.7 FlashX · Negative question · warning
“Avoid: NICE Actimize or Oracle if you do not have a massive budget”Qwen 3.7 Flash · Negative question · warning
“Highlighted in 2025 analyses as outdated for payment processors.”Grok 4.20 · Negative question · warning
“Examples of Legacy Systems: Early-generation versions of enterprise platforms (e.g., traditional deployments of Oracle Mantas, older NICE Actimize builds, or legacy SAS AML).”Gemini 3.5 Flash · Negative question · warning
Also on the shortlist
The products named in the same answers as Oracle Mantas, over the 12 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 12 | 0 | View → | |
| 8 | 1 | View → | |
| 7 | 2 | View → | |
| 7 | 0 | View → | |
| 6 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Oracle Mantas's own site, not checked by Gane.
- For
- anti–money laundering (AML) and compliance leaders
- Also from Oracle
- Oracle Account Reconciliation Cloud, Oracle Analytics, Oracle BPM, Oracle Banking Digital Experience, Oracle Cash Management, Oracle Channel Revenue Management and 46 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 10 of the 12 answers that named Oracle Mantas and are not a share of its labels.
Domains cited
Forty of the forty domain citations in answers naming Oracle Mantas came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | 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 | 2 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 |