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Index › Tax and compliance › AML monitoring › Enterprise › October 2026 Edition

AML and transaction monitoring for enterprise buyers

Asked as “AML and transaction monitoring platform”, and as “anti-money laundering compliance software”, on behalf of an enterprise B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
36%
Contested · Oracle Financial Crime and Compliance Management 13%
36NICE Actimize13Oracle Financial Crime and Compliance Management09ComplyAdvantage43others

36% of first choices, contested.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01NICE Actimize36%16%55endorsed leader
03ComplyAdvantage9%14%37accepted challenger
04SAS Anti-Money Laundering9%5%20accepted challenger
05LexisNexis Risk Solutions4%12%17accepted challenger
06Unit212%14%14accepted challenger
07Fenergo2%36%11criticized challenger
Show the four products at 0%, ordered by negative rate
11SAS AML0%38%16criticized challenger
10Feedzai0%20%15accepted challenger
09Alessa0%10%10accepted challenger
08Quantexa0%0%11accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-one head-to-head pages: the top seven products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
S04
05
06
07
08
09
10
S11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01NICE Actimize36%
02Oracle Financial Crime and Compliance Management13%
03ComplyAdvantage9%
04SAS Anti-Money Laundering9%
05LexisNexis Risk Solutions4%
06Unit212%
07Fenergo2%
08Quantexa0%
09Alessa0%
10Feedzai0%
11SAS AML0%

What they warned about

Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
NICE Actimize
16%
9 of 55 labels negative · 8 of 14 models · 4 hard negative
“This is the most frequently criticized incumbent among practitioners. Users report "nightmare implementations" that can take 18–24 months.” Qwen 3.7 Flash, negative prompt
SAS AML
38%
6 of 16 labels negative · 6 of 14 models · 2 hard negative
“**SAS AML** – unless you have an army of SAS programmers and a massive budget for data modeling.” DeepSeek V4 Flash, negative prompt
Oracle Mantas
83%
5 of 6 labels negative · 5 of 14 models · 2 hard negative
“Rigid rule configurations, poor scalability, clunky user interface, long deployment cycles” GLM 4.7 FlashX, negative prompt
ComplyAdvantage
14%
5 of 37 labels negative · 4 of 14 models
“Modern SaaS platforms like ComplyAdvantage and Alloy, which may be more suitable for mid-market fintechs and neobanks.” Llama 4 Maverick, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

82 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1266 links across 308 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.

vendor site · Fraud.net39 answers · 106 citations · 11 models
30 answers · 30 citations · 10 models
vendor site · Ondato24 answers · 25 citations · 9 models
vendor site · Guideflow24 answers · 24 citations · 11 models
23 answers · 25 citations · 11 models
vendor site · AML Watcher22 answers · 23 citations · 8 models
vendor site · Fraudio21 answers · 38 citations · 11 models
21 answers · 34 citations · 11 models
20 answers · 20 citations · 8 models
vendor site · SAS19 answers · 25 citations · 8 models
vendor site · ComplyAdvantage17 answers · 27 citations · 10 models
16 answers · 20 citations · 8 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “aml and transaction monitoring platform”, “aml and transaction monitoring platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
NICE Actimize niceactimize.com
NICE Actimize 36%, NICE Actimize Xceed AI FRAML 2%
38%1063,6003237,0152
Oracle parent site
Oracle Financial Crime and Compliance Management 13%
13%47450,00066,611
ComplyAdvantage complyadvantage.com
ComplyAdvantage 9%, ComplyAdvantage Mesh 0%
9%1301,6001130,37716
SAS Anti-Money Laundering9%1102
LexisNexis Risk Solutions lexisnexis.com4%329,900177951,707$10755
Fraudio fraudio.com4%13300170
Unit21 unit21.ai2%619,9002980,645261
SymphonyAI symphonyai.com2%9
FraudNet2%1406
Tookitaki tookitaki.com2%91

Google's top ten for the two searches hold 14 sites; 2 of them are among the sites the models cited here (amlwatcher.com, fraud.net). The first result for “aml and transaction monitoring platform” is unit21.ai.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
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ModelDirect“What is the best AML and transaction monitoring platform for an enterprise B2B company?”Paraphrase“Which anti-money laundering compliance software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade AML and transaction monitoring platforms and how do they differ?”Budget-constrained“What is the best AML and transaction monitoring platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a AML and transaction monitoring platform. What should we look at?”Negative“Which AML and transaction monitoring platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5NICE Actimize
Three alternativesAlessa, ComplyAdvantage, Oracle Financial Crime and Compliance Management
NICE Actimize, Oracle Financial Crime and Compliance ManagementChanged
Two alternativesLexisNexis Risk Solutions, SAS Anti-Money Laundering
Alessa
Five alternativesNICE Actimize, Oracle Financial Crime and Compliance Management, SymphonyAI, Verafin, deepidv
NICE Actimize
Two alternativesOracle Financial Crime and Compliance Management, SAS
no first choicenothing named
GPT-5.4 miniComplyAdvantage
Two alternativesFeedzai, Unit21
Oracle Financial Crime and Compliance ManagementChanged
Two alternativesFenergo, Nasdaq Verafin
NICE Actimize, Oracle Financial Crime and Compliance Management
Eight alternativesComplyAdvantage, FICO TONBELLER, Feedzai, Quantexa, SAS AML, Silent Eight, SymphonyAI, ThetaRay
NICE Actimize
One alternativeComplyAdvantage
against: Flagright
no first choicenothing named
Gemini 3.5 FlashComplyAdvantage
Five alternativesAlloy, FraudNet, NICE Actimize, Sumsub, SymphonyAI
FenergoChanged
Four alternativesAlloy, Encompass Corporation, LexisNexis Risk Solutions, NICE Actimize
NICE Actimize
Five alternativesComplyAdvantage, Feedzai, LexisNexis Risk Solutions, Quantexa, SymphonyAI
Unit21
Two alternativesHummingbird, SEON
SymphonyAI
Five alternativesComplyAdvantage, Hawk AI, Hummingbird, NICE Actimize, Unit21
against: Oracle Financial Services Analytical Applications
nothing named
Perplexity SonarNICE Actimize
Four alternativesAML Watcher, ComplyAdvantage, Fraud.net, Tookitaki
NICE ActimizeHeld
Two alternativesLexisNexis Risk Solutions, SAS Anti-Money Laundering
no first choiceSAS Anti-Money Laundering
Two alternativesNICE Actimize, Quantexa
no first choiceagainst: ComplyAdvantage, ComplyCube, Feedzai, Fenergo, Fraudio, NICE Actimize, Ondato, Oracle Financial Crime and Compliance Management, SAS AML, Sumsub, iDenfy
Grok 4.1 FastNICE Actimize
Four alternativesLexisNexis Risk Solutions, Quantexa, SAS, SymphonyAI
NICE ActimizeHeld
Three alternativesComplyAdvantage, Oracle Financial Crime Compliance, SAS AML
NICE Actimize
Seven alternativesAlessa, Fiserv, Napier, Oracle Financial Crime and Compliance Management, Quantexa, SAS Anti-Money Laundering, SymphonyAI Financial Crime
NICE Actimize
Three alternativesNapier Continuum, Oracle Financial Crime and Compliance Management, SAS AML Transaction Monitoring
no first choiceagainst: BAE Systems, Fenergo, Fiserv, LexisNexis Risk Solutions, NICE Actimize, Oracle Financial Crime and Compliance Management, SAS AML
Mistral SmallSAS AML Transaction Monitoring, Tookitaki
Two alternativesAlessa, Napier
LexisNexis Risk SolutionsChanged
Two alternativesAbrigo AML Compliance Software, Fraud.net
ARIC Risk Hub
Three alternativesAlessa, Napier AI Continuum, SAS AML
Fraudio, Oracle Financial Crime and Compliance Management
One alternativeNICE Actimize
no first choiceagainst: Alessa, Alloy, Feedzai, Hawk AI, NICE Actimize, SAS, Sanction Scanner, Sardine, Unit21
DeepSeek V4 FlashComplyAdvantage, NICE Actimize, Napier AI
One alternativeKnow Your Customer
NICE ActimizeChanged
Two alternativesComplyAdvantage, LexisNexis Risk Solutions
against: Fenergo, Oracle Financial Crime and Compliance Management, SAS
NICE Actimize
Seven alternativesComplyAdvantage, FICO TONBELLER, Hawk AI, LexisNexis Risk Solutions, Oracle Financial Crime and Compliance Management, SAS AML, Unit21
Oracle Financial Crime and Compliance Management
Three alternativesFICO Falcon, NICE Actimize, SAS Anti-Money Laundering
against: ComplyAdvantage
no first choiceagainst: ComplyAdvantage, FICO TONBELLER Siron AML, Fenergo, Flagright, Hummingbird, NICE Actimize, Oracle Financial Crime & Compliance (OFC) Suite, Oracle Mantas, SAS AML, Sardine, Unit21
Llama 4 Maverickno first choiceno first choiceHeldno first choiceno first choiceno first choiceagainst: Alloy, ComplyAdvantage, NICE Actimize, SAS
Qwen 3.7 FlashComplyAdvantage, FraudNet
Three alternativesDow Jones Risk & Compliance, NICE Actimize, Unit21
ActimizeChanged
Two alternativesFenergo, SAS Fraud & Financial Crime
SAS Anti-Money Laundering
Four alternativesAlessa, NICE Actimize, Oracle Financial Services Crime and Compliance Management, Quantexa
Fraudioagainst: ComplyAdvantage, Feedzai, Refinitiv LSEGno first choiceagainst: Actimize, FISagainst: AuditBoard, IBM OpenPages, MetricStream, NICE Actimize, Oracle Mantas, SAS AML
Kimi K2NICE Actimize, SAS Anti-Money Laundering
Three alternativesFeaturespace, Feedzai, Oracle Financial Crime and Compliance Management
SAS Anti-Money LaunderingChanged
Three alternativesFICO Falcon Fraud Manager, LexisNexis Risk Solutions, Oracle Financial Crime and Compliance Management
NICE Actimize
Six alternativesComplyAdvantage, FICO Falcon Fraud Manager, Featurespace, Oracle Financial Crime and Compliance Management, Quantexa, SAS Anti-Money Laundering
NICE Actimize
Four alternativesComplyAdvantage, FICO TONBELLER Siron AML, Feedzai's RiskOps platform, SAS Anti-Money Laundering
no first choiceagainst: FICO TONBELLER, NICE Actimize, Oracle Mantas, SAS Anti-Money Laundering
GLM 4.7 FlashXno first choiceLexisNexis Risk Solutions, NICE ActimizeChanged
Two alternativesAML Watcher, FraudNet
NICE Actimize
Four alternativesChainalysis, ComplyAdvantage, Featurespace, Fenergo
Didit
One alternativeFraudio
against: LexisNexis Risk Solutions, NICE Actimize, Oracle Financial Crime and Compliance Management
no first choiceagainst: FICO TONBELLER, NICE Actimize, Oracle Mantas, SAS AML
MiniMax M2.5no first choiceSAS Anti-Money LaunderingChanged
Two alternativesLexisNexis Risk Solutions, WorkFusion
no first choiceCascade AML
Three alternativesNICE Actimize, Oracle Financial Crime and Compliance Management, Pirani
no first choicenothing named
GPT-6 LunaNICE Actimize
Two alternativesComplyAdvantage Mesh, Feedzai
LSEG World-Check OneChanged
Two alternativesComplyAdvantage Mesh, NICE Actimize
NICE Actimize
Seven alternativesComplyAdvantage Mesh, Feedzai, Hawk, Nasdaq Verafin, Oracle Financial Crime and Compliance Management, Quantexa, SAS Anti-Money Laundering
Oracle Financial Crime and Compliance Management
Two alternativesNICE Actimize, SAS AML
no first choiceagainst: Oracle FCCM Transaction Monitoring Cloud Service, SymphonyAI NetReveal
Muse Glimmer 30BNICE Actimize Xceed AI FRAML, Oracle Financial Crime and Compliance Management
Three alternativesAlessa, Napier, SAS Anti-Money Laundering
NICE ActimizeChanged
Three alternativesDataVisor, SAS AML, SAS Anti-Money Laundering
NICE Actimize
Five alternativesFICO – Falcon / TONBELLER Siron AML, Featurespace ARIC, Feedzai, Oracle Financial Crime and Compliance Management, SAS Anti-Money Laundering
NICE Actimize
Three alternativesComplyAdvantage, Oracle Financial Crime and Compliance Management, SAS Anti-Money Laundering
no first choiceagainst: FICO TONBELLER / Siron, NICE Actimize ActOne / Suspicious Activity Monitoring, Oracle Mantas, SAS AML
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:41yes199 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:12yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:27yes2127 s
Direct recommendationPerplexity Sonarsonar2026-10-04 23:05yes192 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 22:54yes2212 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-04 22:40yes118 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:17yes2132 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:11yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:42yes819 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:18yes2024 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:22yes2531 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:33yes514 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-04 22:27yes318 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 22:29yes2224 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:26yes1710 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:57yes34 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:18yes1725 s
ParaphrasePerplexity Sonarsonar2026-10-04 23:01yes203 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:11yes219 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-04 22:19yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 23:12yes2446 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 23:20yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:59no024 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:23yes1419 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 23:00yes1446 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:25yes521 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-04 22:26yes418 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 22:53yes1317 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 23:17yes1912 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:01yes410 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:43yes2033 s
ComparativePerplexity Sonarsonar2026-10-04 23:02yes205 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 22:44yes2513 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-04 22:16yes149 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:17yes2539 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 23:17yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:37yes926 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:01yes2438 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:23yes2595 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 23:25yes1024 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-04 23:19yes832 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 22:29yes2431 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 23:05yes1810 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:39yes36 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:44yes2034 s
Budget constrainedPerplexity Sonarsonar2026-10-04 23:14yes284 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:24yes2512 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-04 22:16yes88 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:51yes2348 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:59yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:16yes1445 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:03yes2228 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:56yes24107 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:38yes1965 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-04 22:47yes219 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 22:12yes2142 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:21yes1814 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:55yes19 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:26yes928 s
Scale constrainedPerplexity Sonarsonar2026-10-04 22:31yes1812 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:16yes1810 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-04 22:31no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:40yes2532 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:11yes54 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 23:11yes1055 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:58yes2246 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:19yes2547 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:53yes2025 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-04 22:13yes425 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 22:36yes2527 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:50yes2617 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:36yes411 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:54yes2434 s
Negative framingPerplexity Sonarsonar2026-10-04 22:19yes183 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:23yes2410 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-04 22:12yes55 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 23:10yes2369 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:35yes54 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:59yes1338 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:28yes2528 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:56yes2042 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:21yes2256 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-04 22:29yes327 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 22:36yes2422 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

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Category-scoped readings
LexisNexis read as LexisNexis Risk Solutions
Oracle read as Oracle Financial Crime and Compliance Management
Oracle FCCM read as Oracle Financial Crime and Compliance Management
Oracle FCCM (AML) read as Oracle Financial Crime and Compliance Management
Oracle FCCM Cloud read as Oracle Financial Crime and Compliance Management
Oracle Financial Crime and Compliance Management (FCCM) Cloud read as Oracle Financial Crime and Compliance Management
Oracle Financial Crime and Compliance Management Transaction Monitoring read as Oracle Financial Crime and Compliance Management
Oracle Financial Services read as Oracle Financial Crime and Compliance Management
Oracle Financial Services AML read as Oracle Financial Crime and Compliance Management
Oracle Financial Services AML (OFSA) read as Oracle Financial Crime and Compliance Management
Oracle Financial Services Crime and Compliance Management – FCCM Transaction Monitoring read as Oracle Financial Crime and Compliance Management
Unresolved, counted raw
ARIC Risk Hub (by Feedzai)
Abrigo AML Compliance Software
Cascade AML
Corefocus
Dow Jones
Dow Jones RiskCenter
Encompass Corporation (EC360)
FICO TONB
FICO – Falcon / TONBELLER Siron AML
Facctum
Feedzai's RiskOps platform
Fintellix
Jumio
LSEG World-Check One
LexisNexis Bridger Insight XG
NICE Actimize ActOne / Suspicious Activity Monitoring
NICE Actimize Xceed AI FRAML
Napier Continuum
Oracle FCCM Transaction Monitoring Cloud Service
Oracle Financial Crime & Compliance (OFC) Suite
Oracle Financial Crime Compliance
Oracle Financial Services Anti Money Laundering
Oracle Financial Services Crime and Compliance Management
Pirani
PwC's AML Solutions
Refinitiv LSEG
SAS Fraud & Financial Crime
SymphonyAI Financial Crime
SymphonyAI NetReveal
WorkFusion
deepidv
nCino Identity Solutions
Discontinued, still offered
No shut-down product was recommended here.
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