Index › Products › Actimize · October 2026 Edition

1 category · Named, not ranked

Actimize

10Judge labels

1First choices

5Negative labels

6 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.

Standing

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Actimize was named 5 times in AML monitoring, where ComplyAdvantage led with 33%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business62 of 81

under the label threshold

Mid-market99 of 108

under the label threshold

Enterprise18 of 108

under the label threshold

In aml monitoring · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Actimize for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
AML and transaction monitoring	Tax and compliance	0%	99 of 108	60%	5	under 10 labels · led by ComplyAdvantage at 33%

Movement

This is the first edition on this tier, so no move can be computed for Actimize yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Actimize across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Mention	Negative	Labels
Claude Haiku 4.5	1	0	1	2
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	0	0	0
Mistral Small	0	0	1	1
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	1	0	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct2 labelsNone

Paraphrase1 label1

Comparative1 label1not counted in share

Budget-constrained1 labelNone

Scale-constrained2 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative10 labels in all, every segment counted; 1 of the 2 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Actimize has been the enterprise AML standard for two decades and still sits inside most Tier-1 banks. Deep, mature, expensive, slow to change.” Claude Haiku 4.5 · AML monitoring · comparative prompt · first choice

And against it

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.

“Skip them unless you're a regulated bank with serious volume.” DeepSeek V4 Flash · AML monitoring · budget prompt · hard negative

“While Actimize, ComplyAdvantage, Sumsub, Feedzai, Sardine, Hawk AI, and Unit21 are often recommended for specific use cases, their suitability depends on your business model” Mistral Small · AML monitoring · negative prompt · soft negative

“Alessa serves the mid-market AML space that Actimize prices out of” Claude Haiku 4.5 · AML monitoring · direct prompt · soft negative

Named alongside

The products named in the same answers as Actimize, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Actimize was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Unit217 of 101Not among the top eight

ComplyAdvantage6 of 101Not among the top eight

Feedzai6 of 100Not among the top eight

Sardine6 of 100Not among the top eight

Alessa5 of 101Not among the top eight

Hawk AI5 of 100Not among the top eight

Sumsub5 of 100Not among the top eight

Sanction Scanner4 of 101Not among the top eight

Alloy2 of 100Not among the top eight

Fenergo2 of 100Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Actimize. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 8 of the 10 answers that named Actimize and are not a share of its labels.

Domains cited

fraudio.com7

cside.com6

devopsschool.com4

sphinxhq.com4

alessa.com3

ondato.com3

amlwatcher.com2

bureau.id2

clearstaq.com2

fintechspecs.com2

No domain is on file for Actimize, so its own site is not marked.

Pages cited

cside.com/blog/best-transaction-monitoring-software6

fraudio.com/roundups/best-aml-transaction-monitoring-software5

devopsschool.com/blog/top-10-ai-aml-transaction-monitoring-tools-features-pros-cons-compar4

sphinxhq.com/blog-posts/best-aml-software4

ondato.com/blog/best-aml-software3

alessa.com/blog/top-10-transaction-monitoring-software-solutions2

alessa.com/blog/top-8-aml-software-solutions2

amlwatcher.com/blog/aml-software-vendors2

Pages are listed as the models cited them.

Search and answers

Where Actimize stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 3,600 a month (“actimize”)
AI search demand for its name, est.: 120 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 99 of 108 in AML monitoring

Segment leader

33%

ComplyAdvantage

First choices: 1 across its categories
Named in: 10 answers
Its own site cited: No site on file to match

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.

Follow Actimize

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.

Is this your product?

Claim this page

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 Actimize'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 Actimize, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Actimize by email, built from the raw record of the edition. It shows:

where Actimize is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Actimize, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.