AML Watcher vs Sumsub
One of fourteen models named AML Watcher first on the direct prompt; zero named Sumsub. AML Watcher was named by eight of the fourteen models and Sumsub by eleven and AML Watcher carries 11 labels and Sumsub 25, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the AML and transaction monitoring page.
By framing
AML WatcherFirst choices, of fourteen modelsSumsub
Across every category in the November 2026 Edition, AML Watcher and Sumsub were named in the same answer twenty times, of the 37 answers naming AML Watcher and the 74 naming Sumsub. In those answers Sumsub took the first choice zero times and AML Watcher four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | ||||
| Grok 4.20 | | | ||||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | | |
AML Watcher Sumsub first choice named as an alternative argued againstblank: not namedEach cell is one answer, AML Watcher on the left and Sumsub on the right.The direct prompt
AML Watcher first, Sumsub not the choice
1 of 14 modelsSumsub was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
AML Watcher7%#4 of 15Sumsub2%#6 of 15AML Watcher0%#– of 13Sumsub0%#– of 13What the models said about AML Watcher
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Start with ComplyAdvantage or AML Watcher if you need strong screening and transaction monitoring at predictable pricing” Kimi K2 · paraphrase prompt · first choice
“AML Watcher and ComplyAdvantage are top choices, especially for fintechs and SMEs” Mistral Small · budget prompt · first choice
“AML Watcher (Best Overall Value for Limited Budgets)” Grok 4.20 · budget prompt · first choice
What the models said about Sumsub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Boutique/newer vendors with little regulatory track record... (e.g., Flagright, Rhizome, Sumsub)” DeepSeek V4 Flash · negative prompt · soft negative
“An 18-month undetected breach through a third-party support ticketing platform.” Kimi K2 · negative prompt · soft negative
“Sumsub – *Best Overall for B2B Onboarding & KYB*” Gemini 3.5 Flash · paraphrase prompt · first choice
“If you want one integrated onboarding platform rather than best-of-breed components, evaluate Sumsub as the simpler alternative.” Perplexity Sonar · paraphrase prompt · alternative
“More affordable, user-friendly options for KYC/AML with good API support... Sumsub stands out for its all-in-one verification” Grok 4.20 · paraphrase prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.