AML and transaction monitoring · October 2026 Edition
Flagright vs Feedzai
Two of fourteen models named Flagright first on the direct prompt; one named Feedzai. Flagright was named by eleven of the fourteen models and Feedzai by eight and Flagright carries 16 labels and Feedzai 13, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share13%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels1613A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Flagright reading right to left. Rank and label count are printed, not drawn.ComplyAdvantage was named alongside these two in eight of the fourteen direct answers. ComplyAdvantage vs Flagright · ComplyAdvantage vs Feedzai · Flagright vs Sanction Scanner
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FlagrightFirst choices, of fourteen modelsFeedzai
Direct21
Paraphrase20
Comparative00
Budget-constrained30
Scale-constrained00
Negative011 against Feedzai
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Flagright and Feedzai stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | |||||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | |||
| 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 | | | |
Flagright Feedzai first choice named as an alternative argued againstblank: not namedEach cell is one answer, Flagright on the left and Feedzai on the right.The direct prompt
The plain question, one answer per model, grouped by where Flagright and Feedzai stood in it.
Flagright first, Feedzai not the choice
2 of 14 modelsFeedzai was named in the answer but not as the choice, or not at all.Grok 4.1 FastFlagright alternatives: Alessa, Hummingbird, Ondato
Kimi K2ComplyAdvantage, Flagright alternatives: Alessa, Lucinity, Sift
Feedzai first, Flagright not the choice
1 of 14 modelsFlagright was named in the answer but not as the choice, or not at all.Mistral SmallFeedzai alternatives: Alessa, ComplyAdvantage, Napier AI, ThetaRay, Unit21
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.GPT-5.4 miniUnit21 alternatives: Feedzai, Fenergo
Perplexity SonarTrustform alternatives: ComplyAdvantage, Flagright, Hawk AI
Muse Glimmer 30BUnit21 alternatives: Alessa, Eftsure, Feedzai, Hawk AI, Napier AI Continuum, Sanction Scanner
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Alessa, ComplyAdvantage alternatives: Napier AI, Unit21
Gemini 3.5 FlashAlloy alternatives: ComplyAdvantage, Sumsub, Unit21
DeepSeek V4 FlashComplyAdvantage alternatives: Alessa, Unit21
Llama 4 MaverickSphinx alternatives: FraudNet, Ondato, Shuftipro, Tookitaki
Qwen 3.7 FlashComplyCube alternatives: Dow Jones Risk & Compliance, Sumsub, Trulioo
GLM 4.7 FlashXComplyAdvantage, NorthRow alternatives: Alloy, SEON
MiniMax M2.5no first choice
GPT-6 LunaUnit21 alternatives: Alloy, ComplyAdvantage, Sardine
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Flagright leads by fifteen points.
Flagright15%#2 of 14Feedzai0%#– of 14Mid-marketThe figures above
Flagright leads by twelve points.
Flagright13%#2 of 13Feedzai2%#7 of 13Enterprise
Level: the same share of first choices.
Flagright0%#– of 11Feedzai0%#10 of 11What the models said about Flagright
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 Flagright or ComplyAdvantage if you want modern, API-first tooling at a mid-market price.” Kimi K2 · direct prompt · first choice
“Flagright is the best budget-leaning pick if transaction monitoring is the main requirement” Perplexity Sonar · budget prompt · first choice
“Flagright – AI-native AML for startups and SMEs ... Best for startups and SMEs” Muse Glimmer 30B · paraphrase prompt · first choice
What the models said about Feedzai
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“their suitability depends on your business model, transaction volume, and regulatory requirements” Mistral Small · negative prompt · soft negative
“Feedzai: Strong for AI-driven detection and compliance workflows, ideal for mid-market firms needing advanced analytics and robust alert management.” Mistral Small · direct prompt · first choice
“Prioritize Leaders from analyst reports (e.g., those strong in AI-driven false positive reduction like Feedzai, Hawk AI, or Unit21 for fintechs)” Grok 4.1 Fast · negative prompt · first choice
“Feedzai runs fraud and AML on the same platform for banks, licensed fintechs, and payment institutions.” Claude Haiku 4.5 · comparative prompt · alternative
Also compared
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.