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. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
38%
Contested · ComplyAdvantage 17%
38NICE Actimize17ComplyAdvantage06Oracle Financial Crime and Compliance Management38others
38% of first choices, contested.
Since October 2026▲+2Since October 2026: 36% → 38%, +2 points. Inside the 10-point floor: within noise.NICE Actimize held the lead, +2 points on 36%, inside the 10-point floor.
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.
Small business
ComplyAdvantage29%Contested▲+9Since October 2026: 20% → 29%, +9 points. Inside the 10-point floor: within noise.Standing →Mid-marketComplyAdvantage39%Contested▲+6Since October 2026: 33% → 39%, +6 points. Inside the 10-point floor: within noise.Standing →Enterprise
NICE Actimize38%Contested▲+2Since October 2026: 36% → 38%, +2 points. Inside the 10-point floor: within noise.This page
ComplyAdvantage29%Contested▲+9Since October 2026: 20% → 29%, +9 points. Inside the 10-point floor: within noise.Standing →Mid-marketComplyAdvantage39%Contested▲+6Since October 2026: 33% → 39%, +6 points. Inside the 10-point floor: within noise.Standing →EnterpriseNICE Actimize38%Contested▲+2Since October 2026: 36% → 38%, +2 points. Inside the 10-point floor: within noise.This pageThe 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 rateLabelsQuadrantSince October 2026
01NICE Actimize38%22%65endorsed leader▲+2Since October 2026: 36% → 38%, +2 points. Inside the 10-point floor: within noise.36% → 38%
NICE Actimize38%22%65endorsed leader▲+2Since October 2026: 36% → 38%, +2 points. Inside the 10-point floor: within noise.36% → 38%02ComplyAdvantage17%5%55accepted challenger▲+8Since October 2026: 9% → 17%, +8 points. Inside the 10-point floor: within noise.9% → 17%
ComplyAdvantage17%5%55accepted challenger▲+8Since October 2026: 9% → 17%, +8 points. Inside the 10-point floor: within noise.9% → 17%03
Oracle Financial Crime and Compliance Management6%19%36accepted challenger▼−7Since October 2026: 13% → 6%, −7 points. Inside the 10-point floor: within noise.13% → 6%
Oracle Financial Crime and Compliance Management6%19%36accepted challenger▼−7Since October 2026: 13% → 6%, −7 points. Inside the 10-point floor: within noise.13% → 6%04
Unit214%10%30accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise.2% → 4%
Unit214%10%30accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise.2% → 4%05SAS Anti-Money Laundering4%10%20accepted challenger▼−5Since October 2026: 9% → 4%, −5 points. Inside the 10-point floor: within noise.9% → 4%
06SAS AML4%25%12criticized challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise.0% → 4%
07
Quantexa2%0%21accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Quantexa2%0%21accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%Show the six products at 0%, ordered by negative rate
13
SAS0%50%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
SAS0%50%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%08
Feedzai0%14%29accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Feedzai0%14%29accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%10
Flagright0%10%20accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Flagright0%10%20accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%12
Napier AI0%10%10accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
Napier AI0%10%10accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%09
LexisNexis Risk Solutions0%0%15accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 10-point floor: within noise.4% → 0%
LexisNexis Risk Solutions0%0%15accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 10-point floor: within noise.4% → 0%11
Hawk AI0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Hawk AI0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
ComplyAdvantage vs Sanction ScannerComplyAdvantage vs SumsubComplyAdvantage vs AMLYZEComplyAdvantage vs FraudioUnit21 vs FlagrightUnit21 vs AML WatcherUnit21 vs Sanction ScannerUnit21 vs SumsubUnit21 vs AMLYZEUnit21 vs FraudioFlagright vs AML WatcherFlagright vs Sanction ScannerFlagright vs SumsubFlagright vs AMLYZEFlagright vs FraudioAML Watcher vs Sanction ScannerAML Watcher vs SumsubAML Watcher vs AMLYZEAML Watcher vs FraudioSanction Scanner vs SumsubSanction Scanner vs AMLYZESanction Scanner vs FraudioSumsub vs AMLYZESumsub vs FraudioAMLYZE vs Fraudio
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 →
01020304S05
S06
07080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01NICE Actimize38%
NICE Actimize38%02ComplyAdvantage17%
ComplyAdvantage17%03Oracle Financial Crime and Compliance Management6%
Oracle Financial Crime and Compliance Management6%04Unit214%
Unit214%05SAS Anti-Money Laundering4%
06SAS AML4%
07Quantexa2%
Quantexa2%08Feedzai0%
Feedzai0%09LexisNexis Risk Solutions0%
LexisNexis Risk Solutions0%10Flagright0%
Flagright0%11Hawk AI0%
Hawk AI0%12Napier AI0%
Napier AI0%13SAS0%
SAS0%What they warned about
Four of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, Qwen 3.7 Flash, Kimi K2, 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 Actimize22%
14 of 65 labels negative · 10 of 14 models · 3 hard negative
“High false-positive rates, rigid rule configurations, heavy reliance on consultants, long implementation cycles” Kimi K2, negative prompt
Oracle Financial Crime and Compliance Management19%
7 of 36 labels negative · 6 of 14 models
“their custom enterprise pricing, implementation, and staffing requirements generally make total cost less predictable” Perplexity Sonar, budget prompt
SAS50%
6 of 12 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
Feedzai14%
4 of 29 labels negative · 4 of 14 models · 1 hard negative
“What to Avoid for Predictable Cost ... pricing is explicitly tied to transaction volume with high minimums” DeepSeek V4 Flash, budget prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
72 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. 963 links across 245 sites, every framing counted. Ranked by the number of answers carrying the site or page. 12 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Bureau34 answers · 34 citations · 11 models
vendor site · Fraudio29 answers · 42 citations · 10 models
27 answers · 58 citations · 10 models
vendor site · Know Your Customer26 answers · 27 citations · 9 models
vendor site · Fraud.net18 answers · 27 citations · 12 models
16 answers · 20 citations · 8 models
vendor site · NICE Actimize15 answers · 22 citations · 8 models
vendor site · G214 answers · 18 citations · 10 models
vendor site · PwC14 answers · 15 citations · 7 models
vendor site · Oracle13 answers · 23 citations · 7 models
vendor site · Shuftipro13 answers · 14 citations · 7 models
vendor site · AML Watcher12 answers · 12 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.
34 answers · 11 models
26 answers · 9 models
22 answers · 9 models
19 answers · 10 models
11 answers · 9 models
10 answers · 8 models
10 answers · 5 models
10 answers · 6 models
9 answers · 7 models
9 answers · 6 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 | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| NICE Actimize niceactimize.com | 38% | 127 | 3,600 | 32 | 37,015 | 2 | ||
| ComplyAdvantage complyadvantage.com | 17% | 154 | 1,600 | 11 | 30,377 | 16 | ||
| Oracle parent site Oracle Financial Crime and Compliance Management 6% | 6% | 76 | 450,000 | 66,611 | ||||
| Unit21 unit21.ai | 4% | 92 | 9,900 | 29 | 80,645 | 26 | 1 | |
| SAS Anti-Money Laundering | 4% | 110 | 2 | |||||
| Fraudio fraudio.com | 4% | 40 | 30 | 0 | 170 | |||
| SAS AML | 4% | 110 | 4 | |||||
| Didit didit.me | 4% | 17 | 6,600 | 26 | 3,711 | 15 | ||
| Quantexa quantexa.com | 2% | 30 | 1,600 | 43 | 2,868 | $70 | 2 | |
| Fenergo fenergo.com | 2% | 16 | 1,300 | 29 | 12,213 | 43 |
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 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 ActimizeNICE ActimizeHeldNICE ActimizeFraudioagainst: NICE Actimize, Oracle Financial Crime and Compliance Management, SASno first choicenothing named
Three alternatives
Alessa, Oracle Financial Crime and Compliance Management, SAS Anti-Money LaunderingTwo alternatives
Oracle Financial Crime and Compliance Management, SAS Anti-Money LaunderingFour alternatives
Alessa, Oracle Financial Crime and Compliance Management, SAS Anti-Money Laundering, SymphonyAITwo alternatives
Didit, Oracle Financial Crime and Compliance ManagementGPT-5.4 miniOracle Financial Crime and Compliance ManagementNICE ActimizeChangedNICE ActimizeNICE Actimizeagainst: ComplyAdvantage, Elliptic, Flagright, SAS Financial Crimes Analyticsno first choicenothing named
One alternative
SumsubThree alternatives
Dow Jones Risk & Compliance, Fenergo, LexisNexis Risk SolutionsFour alternatives
Feedzai AML / RiskOps, Fenergo Transaction Monitoring / CLM, Oracle Financial Crime and Compliance Management, SAS Anti-Money LaunderingGemini 3.5 FlashComplyAdvantage, Unit21against: NICE Actimize, SAS Anti-Money LaunderingFenergoChangedno first choiceNICE Actimizeno first choiceagainst: BAE Systems NetReveal, Flagright, NICE Actimize, Oracle Mantas, Unit21
Four alternatives
Feedzai, Fenergo, Hawk AI, QuantexaFour alternatives
ComplyAdvantage, LexisNexis Risk Solutions, Moody’s Analytics, NICE ActimizeEight alternatives
ComplyAdvantage, Feedzai, Hawk AI, NICE Actimize, Oracle Financial Services Crime and Compliance Management, SymphonyAI, ThetaRay, Unit21Four alternatives
ComplyAdvantage, Feedzai, Hawk AI, Unit21Perplexity SonarComplyAdvantageNICE ActimizeChangedNICE Actimize, SAS Anti-Money LaunderingDiditagainst: NICE Actimize, Oracle Financial Crime and Compliance Management, SAS, SymphonyAIno first choiceagainst: AML Watcher, Alessa, Feedzai, Know Your Customer, NICE Actimize, Oracle Financial Crime and Compliance Management, SAS, Sanction Scanner, Sardine, Sumsub
Two alternatives
NICE Actimize, Unit21Three alternatives
ComplyAdvantage, Know Your Customer, SAS Anti-Money LaunderingEight alternatives
ComplyAdvantage, Feedzai, Hawk AI, Napier AI, Quantexa, Sardine, TRM Labs, Unit21Two alternatives
ComplyAdvantage, FraudioGrok 4.20QuantexaComplyAdvantageChangedNICE ActimizeNICE Actimizeagainst: ComplyAdvantage, FICO TONBELLER Siron AML, Feedzai, Fraudio, Napier AI, Unit21ComplyAdvantageagainst: FICO TONBELLER Siron AML, NICE Actimizeagainst: ACI Worldwide, Azentio, BAE Systems, Fiserv, NICE Actimize, Oracle Financial Crime and Compliance Management, SAS AML
Four alternatives
ComplyAdvantage, Feedzai, NICE Actimize, Unit21Six alternatives
Featurespace, LexisNexis Risk Solutions, NICE Actimize, Quantexa, Refinitiv World-Check, SAS AMLFour alternatives
ComplyAdvantage, Feedzai, Oracle Financial Crime and Compliance Management (FCCM) Cloud Service, SAS AMLTwo alternatives
Oracle Financial Crime and Compliance Management, SAS Anti-Money LaunderingSix alternatives
Feedzai, Hawk AI, Lucinity, Napier, Salv, Unit21Mistral SmallFraudioComplyAdvantage, SAS AMLChangedNICE ActimizeNICE Actimize, SAS AMLno first choiceagainst: Feedzai, NICE Actimize, Oracle Financial Crime and Compliance Management
Two alternatives
NICE Actimize, Unit21Two alternatives
Actimize, Oracle AMLSix alternatives
ComplyAdvantage, Feedzai, Oracle Financial Crime and Compliance Management, Quantexa, SAS AML, Unit21One alternative
FraudioDeepSeek V4 FlashNICE ActimizeNICE ActimizeHeldNICE ActimizeComplyAdvantageagainst: Feedzai, NICE Actimize, Unit21no first choiceagainst: FICO TONBELLER Siron AML, NICE Actimize, Oracle Financial Crime and Compliance Management, Oracle Mantas, SAS
Four alternatives
ComplyAdvantage, Oracle Financial Crime & Compliance Management, Quantexa, SAS Anti-Money LaunderingTwo alternatives
ComplyAdvantage, LexisNexis Risk SolutionsEight alternatives
ComplyAdvantage, Feedzai, Flagright, Nasdaq Verafin, Oracle Financial Services Anti-Money Laundering, Quantexa, SAS Anti-Money Laundering, Unit21Three alternatives
Flagright, Sanction Scanner, TookitakiLlama 4 Maverickno first choiceno first choiceHeldno first choiceno first choiceno first choicenothing named
Qwen 3.7 FlashFraudNet, NICE Actimize, Unit21ComplyAdvantage, Refinitiv World-Check OneChangedNICE ActimizeComplyAIno first choiceagainst: Dow Jones Risk & Compliance, FIS, LSEG Risk Intelligence, NICE Actimize, Oracle Financial Crime Management
Three alternatives
ComplyAdvantage, FICO TONBELLER Siron AML, FraudioTwo alternatives
LexisNexis Risk Solutions, NICE ActimizeSix alternatives
Bureau ID, Clari5, ComplyAdvantage, FIS, Oracle Financial Crime and Compliance Management, QuantexaTwo alternatives
FICO TONBELLER Siron AML, TrullionKimi K2NICE Actimize, SAS Anti-Money LaunderingNICE Actimize, Oracle Financial Crime and Compliance ManagementChangedNICE ActimizeOracle FCCM Cloud Serviceagainst: ComplyAdvantage, SAS Anti-Money Laundering, Sumsubno first choiceagainst: Actimize, SASagainst: FICO TONBELLER, Fiserv, NICE Actimize, Norkom Technologies, Oracle Mantas, SAS AML
Four alternatives
ComplyAdvantage, Feedzai, Oracle Financial Crime and Compliance Management, QuantexaThree alternatives
ComplyAdvantage, LexisNexis Risk Solutions, SAS Anti-Money LaunderingEight alternatives
AMLYZE, ComplyAdvantage, Feedzai, Flagright, Oracle Financial Crime and Compliance Management, Quantexa, SAS Anti-Money Laundering, Unit21One alternative
NICE ActimizeEight alternatives
Bureau ID, ComplyAdvantage, Feedzai, Hawk AI, NICE Actimize, Oracle Financial Crime and Compliance Management, Sardine, Unit21GLM 4.7 FlashXComplyAdvantageComplyAdvantageHeldNICE ActimizeDiditagainst: NICE Actimize, Oracle Financial Crime and Compliance Managementno first choicenothing named
Two alternatives
NICE Actimize, SASTwo alternatives
Ondato, QuantexaTen alternatives
AMLYZE, Bureau ID, ComplyAdvantage, Feedzai, Flagright, Oracle Financial Crime and Compliance Management, Quantexa, SAS AML, Sumsub, Unit21One alternative
ComplyAdvantageMiniMax M2.5NICE ActimizeNICE Actimize, Oracle Financial Services Compliance Regulatory Reporting (FCRA) & Anti-Money LaunderingChangedagainst: Workday FinancialsNICE Actimize, Oracle Financial Crime and Compliance ManagementNICE Actimizeno first choicenothing named
Two alternatives
FraudNet, Unit21Three alternatives
LexisNexis Risk Solutions, SAP Financial Closing Cockpit, Thomson Reuters Regulatory IntelligenceFive alternatives
ComplyAdvantage, FICO® AI‑Driven AML, Feedzai, SAS Anti‑Money Laundering, Unit21Two alternatives
ComplyAdvantage, Oracle Financial Crime and Compliance ManagementGPT-6 LunaNICE ActimizeDow Jones RiskCenter Third PartyChangedno first choiceNICE Actimize, Oracle Financial Crime and Compliance Managementno first choicenothing named
Two alternatives
ComplyAdvantage Mesh, SAS AMLFour alternatives
LSEG World-Check One, LexisNexis Bridger Insight XG, NICE Actimize, Oracle Financial Crime and Compliance ManagementOne alternative
Unit21Muse Glimmer 30BNICE Actimize, SymphonyAI NetRevealNICE Actimize AML, SAS Anti-Money LaunderingChangedNICE Actimize - SAM Suspicious Activity Monitoring / X-Sight Entity RiskNICE Actimizeno first choiceagainst: FICO TONBELLER [Siron], NICE Actimize, Oracle Mantas, SAS, SAS AML
Six alternatives
ComplyAdvantage, FICO TONBELLER Siron AML, Feedzai, Napier AI, SAS, Unit21Two alternatives
ComplyAdvantage, Oracle Financial Services AML Transaction MonitoringSix alternatives
ComplyAdvantage, FICO TONBELLER Siron AML, Feedzai RiskOps, Oracle Financial Services Anti-Money Laundering / Financial Crime and Compliance Management, SAS Anti-Money Laundering, Unit21Two alternatives
Oracle Financial Crime and Compliance Management, SAS Anti-Money LaunderingBold 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.
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 | 2026-11-01 12:42 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:01 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:46 | yes | 12 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 12:54 | yes | 10 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:30 | yes | 8 | 32 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:34 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:05 | yes | 24 | 28 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:14 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:46 | yes | 5 | 26 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:09 | yes | 11 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:33 | yes | 14 | 38 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:57 | yes | 8 | 43 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:27 | yes | 6 | 28 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:23 | yes | 13 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:31 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:46 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:15 | no | 0 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 11:31 | yes | 10 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:13 | yes | 10 | 29 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:57 | yes | 5 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:39 | yes | 24 | 21 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:50 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:56 | no | 0 | 28 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:37 | yes | 20 | 31 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:06 | yes | 25 | 93 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:33 | no | 0 | 39 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:11 | yes | 4 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:34 | yes | 15 | 25 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:21 | yes | 9 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:59 | yes | 8 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:22 | no | 0 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 11:07 | yes | 10 | 8 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:18 | yes | 12 | 34 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:06 | yes | 9 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:35 | yes | 23 | 48 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:55 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:34 | yes | 5 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:33 | yes | 23 | 44 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:56 | yes | 19 | 57 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:09 | yes | 22 | 180 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:16 | yes | 11 | 39 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:46 | yes | 23 | 43 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:44 | yes | 17 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:38 | yes | 2 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:20 | no | 0 | 18 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 09:52 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:30 | yes | 15 | 27 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:15 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:38 | yes | 23 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:09 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:22 | no | 0 | 25 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:08 | yes | 25 | 55 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:52 | yes | 25 | 43 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:54 | yes | 25 | 104 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:25 | yes | 3 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:37 | yes | 23 | 43 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:38 | yes | 18 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:21 | no | 0 | 13 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:25 | no | 0 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 09:43 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:10 | yes | 9 | 34 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:50 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:48 | yes | 20 | 58 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:11 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:47 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:57 | yes | 22 | 48 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:21 | yes | 23 | 100 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:47 | no | 0 | 22 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:39 | yes | 3 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:45 | yes | 13 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:07 | yes | 35 | 14 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:00 | yes | 4 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:06 | no | 0 | 18 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 11:34 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:18 | yes | 14 | 39 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:36 | yes | 5 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:35 | yes | 24 | 38 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:49 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:57 | yes | 15 | 52 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:40 | yes | 23 | 53 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:03 | yes | 24 | 71 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:33 | yes | 25 | 62 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:44 | yes | 2 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:04 | yes | 25 | 30 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
Bureau read as Bureau ID
FICO read as FICO TONBELLER Siron AML
FICO (formerly iOvation) read as FICO TONBELLER Siron AML
Oracle read as Oracle Financial Crime and Compliance Management
Oracle (Oracle Financial Services Analytical Applications Infrastructure) read as Oracle Financial Crime and Compliance Management
Oracle FCCM read as Oracle Financial Crime and Compliance Management
Oracle FCCM Cloud 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 Crime & Compliance Management (FCCM) read as Oracle Financial Crime and Compliance Management
Unresolved, counted raw
AML Cube
Ayasdi
Azentio
ComplianceSuite
ComplyAI
Corporater Anti-money Laundering (AML) Software
Corsa
Dow Jones R&C
Dow Jones RiskCenter Third Party
FICO Siron AML
FICO TONB
FICO TONBELLER [Siron]
FICO® AI‑Driven AML
Feedzai AML / RiskOps
Feedzai RiskOps
Fenergo Transaction Monitoring / CLM
FullCircl
IMTF Siron One
Jumio Transaction Monitoring
LSEG Risk Intelligence (Formerly Refinitiv World-Check)
LSEG World-Check One
LexisNexis Bridger XG
Moody’s Analytics (formerly Passfort + Orbis)
NICE Actimize - SAM Suspicious Activity Monitoring / X-Sight Entity Risk
NICE Actimize AML
Norkom Technologies
Oracle AML
Oracle FCCM Cloud Service
Oracle Financial Crime & Compliance Management
Oracle Financial Crime Management (FCCM)
Oracle Financial Crime and Compliance Management (FCCM) Cloud Service
Oracle Financial Services AML Transaction Monitoring
Oracle Financial Services Anti-Money Laundering (OFS AML)
Oracle Financial Services Anti-Money Laundering / Financial Crime and Compliance Management
Oracle Financial Services Compliance Regulatory Reporting (FCRA) & Anti-Money Laundering (AML)
Oracle's Compliance Studio
Refinitiv World-Check One (LSEG)
SAS Anti‑Money Laundering (SAS AML)
SAS Financial Crimes Analytics
SymphonyAI Sensa-NetReveal
Thomson Reuters Regulatory Intelligence
ZIGRAM
Discontinued, still offered
No shut-down product was recommended here.