AML and transaction monitoring
Asked as “AML and transaction monitoring platform”, and as “anti-money laundering compliance software”, on behalf of a mid-market B2B company. 52 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
33%
Contested · Flagright 13%
33ComplyAdvantage13Flagright13Sanction Scanner40others
33% 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 a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
Show the six products at 0%, ordered by negative rate
12
Oracle Financial Crime and Compliance Management0%50%12criticized challengernewNew since September 2026: not ranked then, 0% now.
Oracle Financial Crime and Compliance Management0%50%12criticized challengernewNew since September 2026: not ranked then, 0% now.The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
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.
For buyers
Head to head
All twenty-one head-to-head pages: the top seven products, each against each
ComplyAdvantage vs AlessaComplyAdvantage vs OndatoComplyAdvantage vs FeedzaiFlagright vs Sanction ScannerFlagright vs Unit21Flagright vs AlessaFlagright vs OndatoFlagright vs FeedzaiSanction Scanner vs Unit21Sanction Scanner vs AlessaSanction Scanner vs OndatoSanction Scanner vs FeedzaiUnit21 vs AlessaUnit21 vs OndatoUnit21 vs FeedzaiAlessa vs OndatoAlessa vs FeedzaiOndato vs Feedzai
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
04
05
06
07
08
09
10
1112
13Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01ComplyAdvantage33%
ComplyAdvantage33%02Flagright13%
Flagright13%03Sanction Scanner13%
Sanction Scanner13%04Unit216%
Unit216%05Alessa2%
Alessa2%06Ondato2%
Ondato2%07Feedzai2%
Feedzai2%08Sumsub0%
Sumsub0%09Hawk AI0%
Hawk AI0%10Sardine0%
Sardine0%11NICE Actimize0%
NICE Actimize0%12Oracle Financial Crime and Compliance Management0%
Oracle Financial Crime and Compliance Management0%13SAS0%
SAS0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, Llama 4 Maverick, 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 Actimize46%
13 of 28 labels negative · 8 of 14 models · 1 hard negative
“Legacy/Traditional Platforms to Avoid ... NICE Actimize & Oracle Mantas - False positive rates: 85-99% of alerts are false positives” GLM 4.7 FlashX, negative prompt
Oracle Mantas
100%
5 of 5 labels negative · 5 of 14 models · 1 hard negative
“NICE Actimize & Oracle Mantas ... Outdated architecture: Monolithic systems that can't scale horizontally” GLM 4.7 FlashX, negative prompt
SAS55%
6 of 11 labels negative · 5 of 14 models · 1 hard negative
“Avoid overkill like Oracle/SAS (enterprise-priced).” Grok 4.1 Fast, direct prompt
SAS AML
83%
5 of 6 labels negative · 5 of 14 models
“critiquing legacy vendors like NICE Actimize, SAS AML, Oracle Mantas, and FICO TONBELLER (Siron) for their shortcomings” Muse Glimmer 30B, 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
77 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. 1177 links across 254 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.net31 answers · 58 citations · 11 models
vendor site · Ondato31 answers · 34 citations · 11 models
29 answers · 29 citations · 10 models
27 answers · 30 citations · 12 models
vendor site · ComplyAdvantage25 answers · 42 citations · 10 models
vendor site · cside22 answers · 22 citations · 10 models
vendor site · G220 answers · 44 citations · 8 models
vendor site · AML Watcher18 answers · 21 citations · 8 models
18 answers · 18 citations · 11 models
vendor site · Fraudio17 answers · 22 citations · 9 models
vendor site · Guideflow17 answers · 17 citations · 11 models
vendor site · PwC17 answers · 17 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.
29 answers · 10 models
28 answers · 11 models
25 answers · 12 models
22 answers · 10 models
18 answers · 11 models
17 answers · 8 models
17 answers · 11 models
17 answers · 8 models
16 answers · 7 models
15 answers · 9 models
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 products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| ComplyAdvantage complyadvantage.com | 33% | 130 | 1,600 | 11 | 30,377 | 16 | |
| Flagright flagright.com | 13% | 52 | 390 | 2 | 7,007 | 0 | |
| Sanction Scanner sanctionscanner.com | 13% | 48 | 90 | 1 | 20,112 | 12 | |
| Unit21 unit21.ai | 6% | 61 | 9,900 | 29 | 80,645 | 26 | 1 |
| ComplyCube complycube.com | 6% | 26 | 110 | 1 | 2,164 | 5 | |
| Trustform trustform.io | 4% | 2 | |||||
| Alessa alessa.com | 2% | 42 | 4,400 | 579 | 6,268 | 0 | |
| Ondato ondato.com | 2% | 39 | 1,000 | 142 | 13,646 | 2 | |
| Feedzai feedzai.com | 2% | 39 | 1,600 | 38 | 5,978 | 8 | |
| Alloy alloy.com | 2% | 15 | 74,000 | 30,445 | 8,790 | 11 |
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.ShowHide
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.
ShowHideModelDirect“What is the best AML and transaction monitoring platform for a mid-market B2B company?”Paraphrase“Which anti-money laundering compliance software would you recommend to a mid-sized B2B company?”Comparative“What are the top AML and transaction monitoring platforms and how do they differ?”Budget-constrained“What is the best AML and transaction monitoring platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a AML and transaction monitoring platform. What should we look at?”Negative“Which AML and transaction monitoring platforms should I avoid or be cautious about?”
Claude Haiku 4.5Alessa, ComplyAdvantageagainst: ActimizeSanction ScannerChangedActimizeBinderr, Sanction Scannerno first choicenothing named
Two alternatives
Napier AI, Unit21Two alternatives
Alessa, OndatoEleven alternatives
AML Watcher, Alessa, ComplyAdvantage, ComplyLaunch, Feedzai, Hawk AI, LexisNexis Risk Solutions, Oracle Financial Crime and Compliance Management, SAS AML, Sumsub, Unit21Two alternatives
ComplyAdvantage, NameScanGPT-5.4 miniUnit21Sanction ScannerChangedNICE ActimizeComplyAdvantageagainst: Oracle Financial Crime and Compliance Management, SASno first choicenothing named
Two alternatives
Feedzai, FenergoThree alternatives
AML Watcher, ComplyAdvantage Mesh, VerifexFive alternatives
Feedzai, Fenergo, Quantexa, SAS, SardineOne alternative
Unit21Gemini 3.5 FlashAlloyagainst: NICE Actimize, SASComplyAdvantageChangedno first choiceFlagrightno first choiceagainst: ComplyAdvantage, FICO Siron, Hawk AI, NICE Actimize, Oracle Mantas, SAS AML, Sardine, Unit21
Three alternatives
ComplyAdvantage, Sumsub, Unit21Three alternatives
Alloy, Middesk, SumsubFour alternatives
AML Watcher, ComplyAdvantage, Sanction Scanner, SumsubPerplexity SonarTrustformagainst: NICE ActimizeComplyCube, OndatoChangedComplyAdvantage, Ondato, TookitakiFlagright, Sanction Scanneragainst: ComplyAdvantageno first choiceagainst: AMLBot, FICO TONBELLER, MemberCheck, NICE Actimize, Oracle Financial Services Analytics / Oracle Mantas, SAS AML, Sanction Scanner, iDenfy
Three alternatives
ComplyAdvantage, Flagright, Hawk AITwo alternatives
LexisNexis Risk Solutions, TookitakiFour alternatives
FraudNet, LexisNexis Risk Solutions, Napier AI, SymphonyAI SensaThree alternatives
ComplyCube, Ondato, iDenfyGrok 4.1 FastFlagrightagainst: Oracle Financial Crime and Compliance Management, SASFlagrightHeldLexisNexis Risk Solutions, Quantexa, SAS Anti-Money LaunderingComplyAdvantageagainst: Oracle Financial Crime and Compliance Management, SASno first choiceagainst: Detica, NICE Actimize, Norkom, Oracle Financial Crime and Compliance Management
Three alternatives
Alessa, Hummingbird, OndatoThree alternatives
Alessa, ComplyAdvantage, OndatoFive alternatives
Alessa, NICE Actimize, Napier AI, Oracle Financial Crime and Compliance Management, SymphonyAITwo alternatives
Hawk AML, Sanction ScannerMistral SmallFeedzaiComplyAdvantage, VespiaChangedSASFlagright, Fraudiono first choiceagainst: Actimize, ComplyAdvantage, Feedzai, Hawk AI, Sardine, Sumsub, Unit21
Five alternatives
Alessa, ComplyAdvantage, Napier AI, ThetaRay, Unit21Two alternatives
Ondato, PersonaNine alternatives
Alessa, Bureau ID, ComplyAdvantage, Feedzai, Hawk AI, NICE Actimize, Sardine, Sumsub, Unit21Two alternatives
Ondato, Sanction ScannerDeepSeek V4 FlashComplyAdvantageComplyAdvantageHeldFICO Falcon, NICE ActimizeSanction Scanneragainst: Actimize, Nasdaq Verafinno first choiceagainst: NICE Actimize, Oracle Financial Crime and Compliance Management, SAS, Verafinagainst: FICO Falcon, FICO TONBELLER Siron AML, NICE Actimize, Oracle Mantas, SAS AML
Two alternatives
Alessa, Unit21Two alternatives
Abrigo, FlagrightSix alternatives
ComplyAdvantage, Feedzai, SAS Anti-Money Laundering, ThetaRay, Tookitaki, Unit21Two alternatives
Alessa, AmbrieFour alternatives
Alloy, ComplyAdvantage, Hawk AI, Unit21Llama 4 MaverickSphinxno first choiceChangedno first choiceagainst: ActimiComplyAdvantageno first choicenothing named
Four alternatives
FraudNet, Ondato, Shuftipro, TookitakiQwen 3.7 FlashComplyCubeComplyAdvantageChangedNICE ActimizeComplyAdvantageno first choiceagainst: Dow Jones Risk & Compliance, NICE Actimize, Oracle FLEXCUBE
Three alternatives
Dow Jones Risk & Compliance, Sumsub, TruliooFour alternatives
Dun & Bradstreet, LexisNexis Bridger Insight, Refinitiv World-Check, TruliooFour alternatives
ComplyAdvantage, FICO, SAS Institute, VerafinTwo alternatives
4Stop, Sanction ScannerKimi K2ComplyAdvantage, Flagrightagainst: Unit21ComplyAdvantageChangedno first choiceAML Watcher, ComplyAdvantage, Truliooagainst: NICE Actimize, Oracle Financial Crime and Compliance Management, SASno first choiceagainst: Block, Cash App, FICO TONBELLER, Monzo, NICE Actimize, Oracle Mantas, SAS AML, Starling Bank
Three alternatives
Alessa, Lucinity, SiftThree alternatives
Hummingbird, Sardine, Unit21Three alternatives
NameScan, Sanction Scanner, SumsubGLM 4.7 FlashXComplyAdvantage, NorthRowComplyCubeChangedno first choiceComplyAdvantageno first choiceagainst: AMLBot, AMLcrypto.io, APLYiD, CipherTrace, NICE Actimize, Oracle Mantas
Two alternatives
Alloy, SEONThree alternatives
ComplyAdvantage, NICE Actimize, QuantexaFour alternatives
EyesClear, Flagright, Ondato, Sanction ScannerMiniMax M2.5no first choiceNameScanChangedOracle Financial Crime and Compliance Management, SAS Anti-Money LaunderingSanction Scannerno first choicenothing named
Two alternatives
Ondato, Sentinel™ by Truth TechnologiesOne alternative
NICE ActimizeOne alternative
SphinxGPT-6 LunaUnit21MiddeskChangedno first choiceComplyAdvantageno first choicenothing named
Three alternatives
Alloy, ComplyAdvantage, SardineTwo alternatives
ComplyAdvantage, FlagrightTwo alternatives
Flagright, HummingbirdMuse Glimmer 30BUnit21Flagright, TrustformChangedagainst: NICE ActimizeNICE Actimize Suspicious Activity Monitoring, SAM, SAS Anti-Money LaunderingComplyAdvantage, Sanction Scannerno first choiceagainst: FICO TONBELLER / Siron, NICE Actimize, Oracle Mantas, SAS AML
Six alternatives
Alessa, Eftsure, Feedzai, Hawk AI, Napier AI Continuum, Sanction ScannerOne alternative
ComplyAdvantageTwo alternatives
ComplyAdvantage, Nasdaq VerafinTwo alternatives
Didit, FlagrightBold 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.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:22 | yes | 18 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:54 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:46 | yes | 21 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-04 22:46 | yes | 24 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:29 | yes | 25 | 12 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:13 | yes | 9 | 8 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:10 | yes | 23 | 32 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:34 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:24 | no | 0 | 30 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:56 | yes | 18 | 36 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:22 | yes | 23 | 24 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:45 | yes | 5 | 20 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:04 | yes | 5 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:16 | yes | 23 | 29 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:23 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:54 | yes | 4 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:14 | yes | 12 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-04 22:22 | yes | 17 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:20 | yes | 24 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:18 | yes | 15 | 8 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:45 | yes | 23 | 37 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:28 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:43 | no | 0 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:53 | yes | 24 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:28 | yes | 20 | 18 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:21 | yes | 5 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:44 | yes | 4 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:24 | yes | 13 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:00 | yes | 18 | 13 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:22 | yes | 6 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:21 | yes | 36 | 35 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-04 22:43 | yes | 18 | 8 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:34 | yes | 23 | 13 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:51 | yes | 9 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:20 | yes | 24 | 44 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:25 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:57 | yes | 14 | 42 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:53 | yes | 23 | 39 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 23:10 | yes | 23 | 63 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:19 | yes | 25 | 35 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:30 | yes | 9 | 27 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:17 | yes | 24 | 37 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:50 | yes | 16 | 12 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:34 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:16 | yes | 27 | 31 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-04 22:12 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:17 | yes | 25 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:05 | yes | 8 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:50 | yes | 24 | 42 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:13 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:47 | yes | 22 | 49 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:35 | yes | 14 | 33 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:46 | yes | 24 | 30 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:24 | yes | 5 | 26 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:14 | yes | 4 | 28 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:26 | yes | 14 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:18 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:18 | yes | 5 | 12 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:16 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-04 22:58 | yes | 18 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:14 | yes | 11 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:12 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:09 | yes | 19 | 42 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:38 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:43 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:09 | yes | 20 | 29 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:14 | yes | 15 | 57 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:14 | yes | 10 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:08 | yes | 2 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:18 | yes | 12 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:54 | no | 0 | 4 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:39 | yes | 4 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:38 | yes | 16 | 32 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-04 23:23 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:51 | yes | 25 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:55 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:23 | yes | 22 | 46 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:40 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:26 | yes | 25 | 52 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:03 | yes | 25 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:14 | yes | 24 | 35 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:46 | yes | 20 | 27 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:15 | yes | 3 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:45 | yes | 24 | 27 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
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 Financial Services (FCCM/Mantas) read as Oracle Financial Crime and Compliance Management
Unresolved, counted raw
AMLcrypto.io
APLYiD
Abrigo
Actimi
Ambrie
Beam Solutions
Compliancely
Detica
EyesClear
FICO Falcon Analytics
FICO Siron
Hawk AML
Lucinity
MemberCheck
NICE Actimize Suspicious Activity Monitoring, SAM
Norkom
NorthRow
Onfido
Oracle Financial Services Analytics / Oracle Mantas
Oracle Financial Services FCCM
SAS Institute
Scorechain
Sentinel™ by Truth Technologies
SymphonyAI Financial Services / NetReveal
Verifex
Discontinued, still offered
No shut-down product was recommended here.
Follow AML and transaction monitoring
An email the morning each edition publishes: where this category 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.