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Index › Tax and compliance › AML monitoring › Ondato vs Feedzai
AML and transaction monitoring · October 2026 Edition

Ondato vs Feedzai

Zero of fourteen models named Ondato first on the direct prompt; one named Feedzai. Ondato was named by eight of the fourteen models and Feedzai by eight and Ondato carries 14 labels and Feedzai 13, so the shares are not directly comparable.

Ondato

accepted challenger

Named in one category this edition.

Feedzai

accepted challenger

Named in one category this edition.

First-choice share2%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#6#7A position in a field of 13; printed, not drawn.
Labels1413A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Ondato 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 Ondato · ComplyAdvantage vs Feedzai · Flagright vs Ondato

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.
OndatoFirst choices, of fourteen modelsFeedzai
Direct01
Paraphrase10
Comparative10
Budget-constrained00
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 Ondato and Feedzai stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Ondato Feedzai first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ondato on the left and Feedzai on the right.

The direct prompt

The plain question, one answer per model, grouped by where Ondato and Feedzai stood in it.

Feedzai first, Ondato not the choice

1 of 14 modelsOndato 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

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniUnit21 alternatives: Feedzai, Fenergo
Grok 4.1 FastFlagright alternatives: Alessa, Hummingbird, Ondato
Llama 4 MaverickSphinx alternatives: FraudNet, Ondato, Shuftipro, Tookitaki
Muse Glimmer 30BUnit21 alternatives: Alessa, Eftsure, Feedzai, Hawk AI, Napier AI Continuum, Sanction Scanner

Neither was named

9 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
Perplexity SonarTrustform alternatives: ComplyAdvantage, Flagright, Hawk AI
DeepSeek V4 FlashComplyAdvantage alternatives: Alessa, Unit21
Qwen 3.7 FlashComplyCube alternatives: Dow Jones Risk & Compliance, Sumsub, Trulioo
Kimi K2ComplyAdvantage, Flagright alternatives: Alessa, Lucinity, Sift
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
Ondato leads by seven points.
Ondato7%#5 of 14
Feedzai0%#– of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Ondato2%#6 of 13
Feedzai2%#7 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Ondato0%#– of 11
Feedzai0%#10 of 11
The full enterprise standing →

What the models said about Ondato

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“I would recommend starting with Ondato or ComplyCube if you need something relatively fast to deploy” Perplexity Sonar · paraphrase prompt · first choice
“For best all-around AML suite: ComplyAdvantage, Tookitaki, or Ondato.” Perplexity Sonar · comparative prompt · first choice
“Ondato is ideal if you want a comprehensive, user-friendly platform with strong ongoing monitoring and identity verification.” Mistral Small · paraphrase prompt · alternative

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.