Directory of AI transaction monitoring and sanctions screening vendors

Arva AI builds agents for the manual financial crime work banks and fintechs staff with analysts. Screening AI reviews sanctions, politically exposed person and adverse media alerts, Investigations AI works transaction monitoring alerts, Onboarding AI and EDD AI handle customer and business verification and enhanced due diligence, and Lending AI supports underwriting research, with AgentStudio converting a bank's own processes into agents and AgentCore improving them from analyst feedback. Arva Intel, its own model, enriches entity records from incorporation data across more than 150 countries. Arva states SOC 2 Type II, ISO 27001 and ISO 42001 certification and builds for the frameworks of the Financial Conduct Authority, the Office of the Comptroller of the Currency, the FDIC and the SEC.

Bretton AI, which operated as Greenlite until its 2026 rebrand, sells agents for bank and fintech back office work, led by financial crime compliance, in two forms. Its platform lays agents over the systems an institution already runs, with more than 30 skill templates and more than 180 data sources for enhanced due diligence, monitoring, sanctions, suspicious activity report drafting and business verification, a Builder for defining new agents in natural language, and a Workbench where analysts work each case beside the agents and approve the result. Its managed services replace an outsourced anti money laundering team, with named onshore investigators on judgment calls and report work, every case checked against the client's own quality scorecard and the first workflow live within 60 days of contract. First Internet Bank, Grasshopper Bank and Payward, the parent of Kraken, are named customers.

Clari5 sells a real time platform that brings enterprise fraud management, anti money laundering, compliance and investigations together for banks. It is deployed at 60 banks in 30 countries, processes more than 10 billion transactions across more than a billion accounts, and runs on IBM LinuxONE, IBM Power10 and Red Hat Enterprise Linux. Fraud products cover cross channel and core banking transaction monitoring, online banking, payment card and employee fraud, with machine learning scoring models packaged by channel and product. Digital TrustArmour joins transaction monitoring, device intelligence and behavioral biometrics into one risk profile per customer against authorized push payment fraud, mule accounts and account takeover. Anti money laundering covers watch list filtering with real time blocking, customer due diligence and regulatory reporting built to the goAML standard of the United Nations Office on Drugs and Crime. Clari5 Genie adds generative and agentic AI to investigations: it summarizes alerts and transaction history, explains in plain language why an alert fired, finds transactions that resemble past fraud and answers questions about fraud data without a query language, which Clari5 says cuts investigation time by up to 70 percent. Maestro transcribes and scores every recorded customer call for fraud signals and compliance in English and 11 Indian languages, on a bank's premises or as a managed service, and Graph Intelligence maps links between customers, accounts and transactions. In India, its cybercrime complaint solution automates complaints from the National Cybercrime Reporting Portal, from account identification to lien marking, at Punjab National Bank among others. Customers named include Khan Bank, XacBank, Mashreq Bank and Ujjivan Small Finance Bank. Clari5 was acquired by Perfios and is still sold under its own name.

Complead, known until September 2026 as Sanction Scanner, sells an AML, KYC and fraud platform to banks, payment and electronic money firms, fintechs, insurers, crypto businesses and gaming operators. Its Fusion platform puts screening, customer risk rating, KYB, adverse media, transaction monitoring, payment screening and fraud on one customer record with one risk rating. Sanction Scanner lives on as the name of its client screening product, which starts at €990 a month for 100 screened entities. The company began with data. Complead says it collects sanctions, PEP and watchlists from the authorities that publish them, more than 3,000 lists from over 220 countries refreshed every 15 minutes. It keeps dated snapshots of every past state and built its own PEP dataset country by country. Fusion's AI agents now gather the evidence on an alert, compare it with the customer's history and write the reasoning. They close routine cases on confidence bands each customer sets, and Complead says they clear 77 percent of them. Decisions that change a customer relationship stay with a person, SAR drafts need an MLRO's approval, and every agent action is logged with its inputs and the policy or person that authorized it. Complead was started in 2020 in Istanbul, where most of its engineers still work, and is headquartered in London, with a US company registered in Delaware. It reports more than 800 customers in over 80 countries, including iyzico, Kuveyt Türk, Zurich, Generali and NN, and Chartis named it a Disruptor in the RiskTech100 for 2027. Customers choose EU, UK or Türkiye data residency, and Complead holds ISO 27001 and ISO 9001 certification, with a SOC 2 Type 2 report available under NDA.

ComplyAdvantage supplies the risk intelligence and screening layer that banks, fintechs, insurers and crypto businesses run their financial crime programs on, built entirely on proprietary sanctions, politically exposed person, watchlist and adverse media data rather than licensed feeds. Its Mesh platform unifies customer screening, ongoing monitoring, transaction monitoring, payment screening and risk scoring in one system, lets teams screen against 49 distinct risk sub categories, and uses agentic automation to resolve routine alerts without an analyst. It monitors over 500 million customers annually and reaches institutions through other platforms, including AiPrise, DigiFi and SDK.finance, as their screening source.

Consilient sells anti money laundering and counter terrorist financing models built with federated learning, so banks, regulators and financial intelligence units can learn from each other's behavioral patterns without pooling their data. Models train on local data inside each participant's own infrastructure, only aggregated model updates are shared, and institutions deploy the resulting models locally under their own model risk processes. The core model gives each customer a dynamic risk score from twelve months of transaction behavior and shows investigators the key factors and transactions behind a flag. Further models score more than 15 high risk typologies, from money services businesses and casinos to precious metals dealers, nonprofits and virtual asset service providers, flag international transactions leaving high risk jurisdictions with a model trained alongside more than 20 local banks there, rate know your customer risk and cover correspondent banking. Federated Synthetic Data supplies 24 validated typologies across five risk families and about 110 million labeled transactions for building and testing models where an institution has few real cases, and the suspicious activity report (SAR) Analyzer uses large language models to cluster report narratives, resolve entities and map networks across them. Consilient builds on XGBoost and says its federated model cut false positive alerts by 88 percent. It was founded by Gary Shiffman of Giant Oak and Juan Zarate of K2 Integrity.

Deconflict runs a two sided intelligence network connecting more than 2,000 law enforcement agencies with banks, credit unions, fintechs, exchanges and stablecoin issuers on digital asset financial crime. On the agency side it surfaces when separate investigations converge on the same onchain entities across federal, state, local, tribal and international jurisdictions, preventing agencies from unknowingly working the same target. On the institution side an API and workflow integrations let compliance teams check verified law enforcement matches before a transaction settles, with each signal attributed to its typology and source agency and formatted for suspicious activity narratives and account closure records. Identifiers are exchanged in hashed form, investigative files stay with the agency, and participation requires verified law enforcement or regulated institution credentials.

Dossiers, operated by A Squared Technologies Pte. Ltd., sells Dossiers OS, an AI powered operating system for financial crime teams that brings onboarding, AML screening, transaction and device monitoring, and investigation into one platform. Screening runs against sanctions lists, watchlists, PEP data and adverse media from its own Dossiers Cosmos data or a supported provider, eliminating a match only where an attribute positively contradicts identity, and AI assistants work with the sources in view, with read access to records and approval required for any write. The company is headquartered in Colombo with an office in Singapore, and names Sri Lankan securities and wealth firms including SC Securities, NDB Securities, Asia Securities, NDB Wealth and Asha Securities, and the payments company KOKO, among its users.

Eastnets sells compliance and payments software to banks, payment firms, exchange houses and insurers. Its financial crime line covers sanctions screening, transaction monitoring, customer due diligence, trade based money laundering and payment fraud, sold as separate SafeWatch, SafeTrade and PaymentGuard modules that stack together. The FinCrime Intelligence Platform, launched in June 2026, coordinates investigations across them. Eastnets also runs SWIFT service bureaus in the Americas, the UAE and Saudi Arabia that connect more than 270 institutions to the SWIFT network. Machine learning is layered onto rules the company has sold for decades. SafeWatch Screening 5 matches names with AI and natural language processing. Its AI detection assistant rates each alert and recommends an action with a plain language rationale, while a four eyes module handles approvals. SafeWatch AML pairs a scenario library and rule builder with unsupervised models that raise account level risk alerts and tune detection thresholds. PaymentGuard rates payments in real time on device, location and malware signals, and SafeTrade uses a language model to flag irregularities in trade documents. A built in module formats suspicious activity reports for goAML, the UNODC system many financial intelligence units use. Named results come mostly from screening. Zain Cash in Iraq cut false positives by 90 percent on SafeWatch Screening 5. Sohar International in Oman cut alerts from more than 312,000 to about 102,000 by refreshing list data, raising its match threshold and adding a good guys list. Permanent TSB in Ireland screens SEPA Instant payments inside a 10 second window. Eastnets traces its origin to Jordan in 1984, counts more than 800 institutions as users, including more than 20 central banks, and employs about 400 people in 13 countries. It renewed ISO 27001 in 2025 for a third three year cycle and reports a SOC 2 Type 2 audit, run from December 2024 to November 2025, with no deviations.

Facctum sells a cloud native screening platform for financial crime compliance to banks, payment companies, fintechs, crypto exchanges, wealth managers and other regulated firms. Five modules run on one platform: watchlist management, customer screening, payment and transaction screening, transaction monitoring and know your business checks, with alert adjudication on top. Watchlist management pulls regulatory, commercial and internal lists into one store, reconciles and deduplicates them, and pushes sanctions updates from regulators to the screening engines within five minutes; clients manage more than 5 million watchlist records on it. Customer and payment screening return potential matches in under 80 milliseconds on average, with an explanation for each match from attribute weighted scoring, and payment screening handles more than 20 message formats. AI sits in three places: alert adjudication, which scores and resolves alerts and reapplies earlier decisions, AI auto tuning of screening profiles, and models that turn unstructured sources such as press releases into screenable profiles. Facctum says the platform cuts false positives and manual review by up to 70 percent. Facctum Solutions Limited was founded in 2021, is registered in London and has more than 100 staff across five locations. The platform runs in more than 30 cloud regions and carries ISO 27001, 27017 and 27018 certification and a SOC 2 report.

Fincom screens payments and customers against sanctions and watchlists using patented Phonetic Fingerprint technology, which converts a name into a mathematical representation of how it sounds rather than how it is spelled, so matching survives misspelling, unstructured formats, different alphabets and transliteration across 44 languages. An entity resolution engine with supervised machine learning weighs attributes such as date of birth, address and identifiers alongside the phonetic score. Products cover payment screening across wires, ACH, instant payments and SWIFT, KYC and perpetual KYC screening, Verification of Payee and case management, with AML suites for financial institutions, trade finance and e commerce. Named banks include AgriBank, which reports false positives falling from 95 percent to between 3 and 5 percent, Cadence Bank and The National Bank of Indianapolis; Nasdaq Verafin is building Fincom's screening into its platform and Nasdaq Ventures led its Series B.

Flagright sells a financial crime compliance platform to payment processors, digital banks, banks, credit unions, brokerages, crypto and remittance firms, covering real time transaction monitoring, dynamic customer risk scoring, sanctions and watchlist screening, case management and regulatory filing. Compliance teams build detection rules themselves, without code or in natural language, and prove changes with rule simulation and shadow rules before they go live. AI Forensics turns a team's standard operating procedures into agents for monitoring, screening, governance and quality assurance in about 20 minutes. Reports file from the platform to FinCEN and to more than 70 goAML jurisdictions. Flagright runs in the cloud from more than 12 hosting regions, keeps each customer's data in its chosen region, and serves more than 100 customers in more than 35 countries, Betterment and Banked among them.

Hawk provides financial crime detection to more than 80 institutions worldwide, from tier one banks to digital-first fintechs, combining traditional rules with explainable machine learning across transaction monitoring, customer and payment screening, customer risk rating, entity risk detection and fraud prevention in one modular platform. Its overlay model supplements a bank's existing rule-based systems rather than replacing them, and it reports raising alert accuracy toward 90 percent in some deployments while cutting false positives and uncovering twice as many previously undetected cases of novel criminal activity. An investigative agent applies agentic AI to anti-money laundering casework, handling data collection, case categorization and automated drafting of suspicious activity report narratives. Explainability is central to the design, on the argument that an institution must be able to justify why a specific customer was flagged. Integration reaches all four major US core banking providers.

IMTF is a Swiss software company. Its Siron One platform covers the main financial crime compliance jobs at a bank or insurer, from KYC and client lifecycle management to transaction monitoring, sanctions screening, fraud, trade based money laundering and tax compliance. Private banks, retail and corporate banks, insurers, payment providers and telecom operators buy it, and IMTF counts more than 1,000 customers in over 90 countries. Detection runs on what IMTF calls a hybrid approach. A rules engine with a scenario library and more than 300 behavioral profiles sits underneath. Machine learning ranks each alert by how likely it is to matter, clusters customers into dynamic peer groups and measures how far a customer or transaction strays from its group. In screening, models narrow name matches, and Babel Street supplies matching across more than 24 languages and scripts. Generative AI summarizes and classifies adverse media and prefills suspicious activity reports for compliance officers to edit, and the case manager resolves or parks low priority alerts on its own. Scenarios and thresholds change without code and can be simulated before use. Chartis named Siron One a category leader for AML transaction monitoring in 2026, and also for name and transaction screening and for adverse media monitoring. Forrester rated IMTF a Strong Performer in financial crime management in Q3 2026. Siron One connects to Avaloq, Finnova, FIS Kordoba and ERI's Olympic core banking systems and draws on Dow Jones, LSEG World Check, Moody's Orbis and LexisNexis data. IMTF was founded in 1989 and is based in Givisiez, Switzerland, with seven offices from Zurich and Luxembourg to Dubai, Singapore and Bengaluru. It sells Siron One for installation, as a managed service or as SaaS on AWS, and holds ISO 27001 certification.

Lucinity runs financial crime investigations for banks, payment firms and fintechs in two ways. Its platform pairs case management, a customer view, transaction monitoring and regulatory reporting with Luci, an AI agent that gathers evidence, analyzes cases, runs adverse media checks and drafts narratives and suspicious activity reports, inside Lucinity's own modules or as a plugin into the systems an institution already runs. Since December 2025 it also sells Human AI Operations, a managed service in which Lucinity's analysts and Luci take on triage and investigation work under service level agreements, mainly for Nordic institutions. In both, the institution approves escalations, thresholds, policies and reports. Luci is built on Microsoft Azure OpenAI, and Lucinity is available on the Azure Marketplace. In April 2026 Oracle secured rights to its investigation and case management technology and embedded it in Oracle's own financial crime platform. Visa Cross Border Solutions and Finshark are named customers.

Mozn is a Riyadh enterprise AI company, founded in 2017, and FOCAL is its platform for financial institutions fighting money laundering and fraud. Banks, payment firms, wallets and digital lenders across Saudi Arabia and the Gulf use it to screen customers and payments, monitor transactions, rate customer risk and run fraud controls in one place. Mozn also builds AI for government and defense buyers, counts more than 150 customers across both, and took a strategic investment from HUMAIN in August 2026. Screening is the heart of the product. It runs on a bilingual transformer model that Mozn says it has patented, built to read Arabic names in all their spellings together with the context around each name. Mozn reports 85 percent fewer false positives and cases resolved 70 percent faster across its screening customers, and the model won the 2026 Datos Impact Award for sanctions and watchlist screening. Customers are screened against more than 1,300 sanctions, PEP and regulatory lists and rescreened whenever a list or a KYC record changes, while low risk matches clear automatically under each institution's own rules. Transaction monitoring combines a rules library and no code rule builder with anomaly detection, behavioral models and supervised models trained to cut false positives, and new rules can be simulated before they go live. An investigation agent works on top. It summarizes each alert, resolves name variants across Arabic and Latin scripts, attaches a confidence level and drafts a SAR ready narrative. Mozn says the analyst owns each decision and filing a SAR stays with a person, though the agent can also close low risk alerts on its own. Al Rajhi Bank and stc Bank signed agreements in 2025 to use FOCAL against fraud, and D360 Bank and Abdul Latif Jameel Finance are integrating it. HyperPay, a Riyadh payments firm, cut false positives by 45 percent and alert handling time by 35 percent after going live under SAMA's AML and CFT timelines. An unnamed Saudi bank cut fraud losses by 38 percent. FOCAL runs in the cloud, on premises or as a hybrid, and Mozn says the screening product can also be deployed in country. Mozn reports ISO 27001 certification and an EY audit against the Saudi National Cybersecurity Authority's Essential and Cloud Cybersecurity Controls. Its trust center releases policies, a penetration test and a data processing agreement on request.

Napier AI is a London company, founded in 2015 and majority owned by Marlin Equity Partners since February 2025, selling anti money laundering software to banks, payment firms, wealth and asset managers and insurers. Its Continuum platform covers client screening, payment screening, transaction monitoring across more than 100 built in typologies, perpetual client risk assessment and regulatory reporting. It comes in three editions. Continuum Pro serves enterprise deployment, Continuum Live is a plug and play managed service, and Continuum Flow connects the engines to an institution's existing stack through APIs. Napier calls its approach AI enhanced rather than AI native. Rules stay underneath, and machine learning rates each screening alert on match quality and attributes such as date of birth and nationality. It recommends an outcome with a plain language justification and adds behavioral insights to monitoring investigations. Responsible agents go further, with analysts deciding how much each agent may do, from flagging matches for review to clearing them automatically, and every agent action recorded in the audit trail. A sandbox lets compliance staff test rule changes against production behavior before they go live. Banco do Brasil cut false positive hits on transaction screening by more than 90 percent, Australia Post cut its false positives by more than half, and Freemarket cut payment approval time by 77 percent. Starling, State Street, St. James's Place and Al Rajhi Capital are among more than 150 customers. Napier says it deploys as managed SaaS on any leading cloud, in private cloud or on premises. It reports ISO 27001:2022 certification, a SOC 2 Type 2 audit and FSQS registration. Napier says it works with any third party data vendor and helps clients pick one, with Dow Jones, LSEG and Dun & Bradstreet as named partners.

Nasdaq Verafin is a cloud financial crime management platform for banks and credit unions, founded in 2003 in St John's, Newfoundland and acquired by Nasdaq in 2021. It covers anti money laundering and counter terrorist financing, fraud detection, sanctions screening, high risk customer management, investigation, information sharing and regulatory reporting, and its detection layer is built on a cross institutional consortium data network of more than 2,800 customer institutions holding more than $13 trillion in collective assets, which it presents as the source of its typology awareness. Nasdaq's 2025 annual report describes the platform as serving more than 2,750 North American financial institutions, including global systemically important banks. Since late 2025 the company has shipped an agentic AI workforce of named analysts for sanctions, anti money laundering, enhanced due diligence and fraud alerts, which triage alerts, gather context and either clear them or escalate them for manual review, with auto dispositioning available for fully autonomous workflows and reporting and performance tools for oversight. More than 750 institutions use the agentic products. A platform agnostic deployment model extends the same workers across third party systems, where the agent signs into the other vendor's product and works its alert queue as a person would. Institutions can configure the level of automation and of human review separately for each workflow. First National Bank of Omaha reports a 50 percent cut in time spent on enhanced due diligence and sanctions alerts, and Pinnacle Bank reports 30 percent fewer false positives.

NICE Actimize sells financial crime risk management to banks and financial institutions. Xceed, a cloud platform built for credit unions and community banks, unifies fraud prevention, anti money laundering and investigations, with AI agents that automate alert triage, backlog categorization and case summarization alongside analysts; the X Sight platform serves larger institutions with transaction monitoring, watchlist and sanctions screening, case management, know your customer and client lifecycle management, and SURVEIL X covers markets surveillance. The business is part of NICE, a listed company, and states more than 1,000 clients and more than 5 billion transactions monitored a day.

Quantexa builds a resolved view of customers, counterparties and beneficial owners by reconciling records across internal systems, third party feeds, public records and corporate registries, then generates the network context around each entity so investigators see relationships rather than isolated alerts. Entity resolution runs on a predictive model the company describes as transparent and tunable, graph analytics layer community detection and pathway analysis on top, and Q Assist and an Agent Gateway add generative assistance and agent orchestration. The same Decision Intelligence Platform is reused across anti money laundering, know your customer, fraud, risk and customer intelligence, deployed as software as a service, on premises or in a private cloud.

Quantifind runs risk screening and investigations for financial crime through its Graphyte platform, resolving entities and scoring risk from billions of external sources covering sanctions lists, public records, adverse media and corporate data. Its differentiator is name matching and contextual typology assessment built on more than a decade of patented research, aimed at the false positive burden that forces banks to staff large analyst teams, and it serves tier one, regional and digital banks alongside federal, state and defense agencies.

Refine Intelligence automates the customer outreach banks use to resolve fraud and AML alerts. When an alert fires, its agentic AI investigates, contacts the customer by push notification, email or SMS with consistent, structured questions about the purpose of a payment, the source of funds or the relationship to the beneficiary, and resolves the alert or escalates it to an analyst with an audit trail. Its fraud products cover check fraud, scams, bank impersonation, business email compromise and Zelle payments, and its AML product handles requests for information and due diligence outreach. The models are trained on a proprietary dataset of customers' explanations of anomalies, and the company reports 88.6 percent automated alert resolution in production. At Valley Bank, median AML inquiry resolution fell from 16 days to two minutes, with 85 percent of digital requests completed.

Ripjar sells enterprise screening to institutions that already have a screening system and are overwhelmed by what it produces. Conventional screening treats every alert as a fresh event, so context is discarded and the same entity is investigated repeatedly; Ripjar moves the unit of record from the alert to the entity. Each person or organization is resolved once into a dynamic risk profile that carries sanctions, politically exposed person status, watchlist hits and adverse media together, retains every prior decision and its rationale, and re evaluates only on material change, so a rejected link stays rejected. Underneath sits ULTRA, a proprietary engine the company traces to its founders' work at the United Kingdom signals intelligence agency, carrying entity resolution, multilingual name matching and explainable AI. The name matching covers more than a million name variants across more than 20 scripts and more than 400 languages and is benchmarked at 94 percent better than Levenshtein distance. Adverse media runs natural language extraction across more than six billion articles in 22 or more languages, resolved into up to 14 million entity profiles and refreshed twice daily. Three products sit on the engine: Ripjar Screening for anti money laundering, Screening Assistant, an agentic layer that closes low risk alerts and escalates the rest with evidence, and Ripjar Labyrinth for threat investigation, with 3P60 extending screening to third parties. The company states more than 400 organizations as customers, including six of the 29 global systemically important banks, and shows Accenture, Nomura, UBS, Dow Jones, Barclays, VP Bank, PwC and Shell among them; Dow Jones is also an investor. It shows ISO 27001 and SOC 2 marks and refers to both cloud and on premises installations. Ripjar Ltd of Cheltenham was founded in 2012 and is majority backed by Long Ridge Equity Partners, with Accenture and Winton also on the register.

Salv sells anti money laundering and fraud software to banks, fintechs and payment service providers, used by more than 130 institutions across 30 jurisdictions. Its screening checks customers and payments for sanctions, politically exposed persons and adverse media against Dow Jones lists that Salv refreshes several times a day, around 96 million transactions a month. Real time transaction monitoring runs on a rules engine each institution configures itself, beside weighted customer risk scoring and alert and case management. Data comes in through a documented interface with webhooks and a sandbox, or by CSV upload. Salv Bridge adds intelligence sharing between institutions: cross bank fraud cases, joint screening of new customers against a shared pool and bank to bank sanctions clearance, with 110 institutions live on the network since 2021. LHV Bank in Estonia releases 40 percent of payments automatically at any hour and processes requests for information 2.5 times faster on it. AI plays a deliberately limited role. AI Powered Insights reviews a name match and explains its reasoning, but it is informational only and never closes an alert or decides. Salv runs on Amazon Web Services in Frankfurt, with private cloud and on premises deployment also available.

SAS sells a unified financial crime portfolio to banks, credit unions and other financial institutions, spanning anti money laundering transaction monitoring, payments fraud, application and identity fraud, sanctions and watchlist screening, customer risk rating, investigation workflow and regulatory reporting. The line runs on the company's own analytics platform and is positioned as a single environment for customer centric decisioning rather than separate fraud and compliance systems, with transparent and auditable models offered as the answer to supervisory expectations. It is a named and separately maintained industry business under its own executive, distinct from the company's wider horizontal analytics work.

Silent Eight sells Iris 7, a policy bound agentic AI platform for financial crime compliance that executes sanctions, anti money laundering and customer due diligence decisions, with agents for customer and payment screening, transaction monitoring, adverse media and case management. Each outcome is produced with its applied reasoning and supporting evidence, under the institution's policies and with escalation retained by the institution. Founded in Singapore in 2015, it has run in live bank environments since Standard Chartered deployed it for sanctions screening in 2018; HSBC, Emirates NBD, Mashreq, First Abu Dhabi Bank and Abu Dhabi Islamic Bank are later named customers, and HSBC and Standard Chartered are also investors. The company reports up to 90 percent improvement in case resolution and up to 99 percent precision.

ThetaRay detects financial crime using unsupervised anomaly detection that learns what normal looks like in an institution's payment flows and flags deviations without being told in advance what a typology looks like, aimed at the schemes rule based systems cannot describe: mule networks, layered transfers and undisclosed nested correspondent relationships. Its platform covers transaction monitoring, sanctions and watchlist screening built on its acquisition of Screena, customer risk assessment and Ray, its agentic investigation suite, and it is built to overlay existing monitoring engines rather than replace them.

Tookitaki unifies anti money laundering monitoring, fraud prevention, screening, onboarding risk, customer risk scoring and case management in FinCense, a platform for banks, digital banks, digital wallets, remittance firms and payment institutions across Asia Pacific. It comes pre configured for the Monetary Authority of Singapore, Bangko Sentral ng Pilipinas, the Australian Transaction Reports and Analysis Centre (AUSTRAC) and Bank Negara Malaysia. Its distinguishing asset is a free, invite only anti financial crime network, the AFC Ecosystem, where more than 200 institutions contribute typologies and scenarios, more than 400 so far, which reach members through a federated learning model. FinCense runs on premises, in the cloud on AWS or Google Cloud, or as a hybrid of the two. An Alert Prioritization AI Agent scores and ranks every alert with the evidence behind it, and the case manager generates reports from templates for suspicious activity and suspicious transaction filings. United Overseas Bank, Maya and DeeMoney are named customers.

Unit21 consolidates fraud prevention and anti money laundering into one platform covering real time transaction monitoring, device intelligence, a fraud consortium, sanctions and payment screening, customer risk rating, case management and regulatory filing. Detection runs on a self service rules engine that risk teams author without engineering support, not on machine learning risk scores, at under 150 milliseconds across Automated Clearing House transfers, wires, real time payments, cards and crypto. Agents built on large language models triage alerts, gather evidence, recommend dispositions and pre populate suspicious activity, currency transaction, 314(a) and goAML filings, on an autonomy ladder each institution sets per queue and risk tier, with an analyst approving every report before it is filed.

Vneuron sells the Reis Risk and Compliance Suite, an AML and counter terrorist financing platform for banks, insurers, leasing companies, investment funds, brokers, money transfer businesses and microfinance institutions. It covers risk based customer due diligence, name and sanctions screening, transaction monitoring, trade based money laundering monitoring, case management and regulatory reporting, all configured without code. Machine learning sits alongside a rules engine. Pretrained algorithms detect known laundering scenarios, self learning algorithms use historical data to cut false positives, and lookalike modeling finds behavior that resembles established patterns. Rules are written in natural language, name screening works across Arabic, Farsi, Russian and Chinese scripts, and teams can build and test algorithms of their own. The trade module reads bills of lading, invoices, packing lists, certificates of origin and letters of credit with document AI, and an AI rule assistant turns a plain language need into a detection scenario. Vneuron was founded in 2007 and moved from systems integration to its own software in 2011. It is registered in Reims, with offices in Paris, Tunis and Doha, where it set up at the Qatar Financial Centre in 2022. It says more than 250 institutions in over 45 countries use Reis, with more than 15,000 users. Named customers include CBZ Bank in Zimbabwe, Atlantic Financial Group's banks in Cameroon, Gabon, Comoros and Mali, the money transfer firm NITA in Niger and the Tunisian insurer Maghrebia. The platform installs on premises, runs as SaaS or mixes the two branch by branch, and Chartis named it a category leader for KYC solutions in 2023.