Fraud Detection & Transaction Risk

Q2 Holdings sells the digital engagement layer that banks, credit unions, alternative finance companies and fintechs put in front of their customers, spanning retail, small business and commercial banking on a single platform. That single platform claim is the commercial thesis rather than an architecture note, because running consumer and commercial banking on one system gives the company behavioural signal across both, which it uses to argue a data advantage in detecting account takeover. The company describes its position as a system of context, capturing real time digital signals across logins, transactions, alerts, messages and user decisions at the engagement layer, while also operating at the execution layer where workflows run and transactions complete. Artificial intelligence is concentrated in three stated areas: banker efficiency, fraud prevention and personalisation. Three named artificial intelligence products arrived during 2026. Q2 Code, announced 16 April 2026, is a governed development environment turning natural language prompts into extensions compliant with the company's software development kit, built for teams working through Q2 Innovation Studio, and stated openly to be built with Anthropic's Claude Code running on Amazon Bedrock. Q2 Assistant, launched 2 June 2026, is a unified conversational layer embedded across the product portfolio that connects to product specific agents which execute tasks, beginning with a Customer Care Agent inside Digital Banking, and is stated to run under the same data isolation, audit logging and compliance controls the platform applies elsewhere. A separate account takeover product using behavioural signals reported double digit early adopters in its first quarters. Security is documented at unusual length for this segment. The company publishes a service organisation control assessment of the second type covering security and confidentiality for its software platform, a dedicated enterprise security risk and compliance function, several external reviews each year, a cybersecurity mesh architecture in which one tool informs the others, zero trust, behavioural anomaly detection, and a data protection capability that fragments payment card data across a private blockchain network. Its platform migration moved online banking stacks for more than 450 financial institutions onto Amazon Web Services. Scale is reported under securities law. Second quarter 2026 revenue was 219.8 million dollars, up 13 percent, with subscription annualised recurring revenue of 826 million dollars, total annualised recurring revenue of 971 million, backlog of 2.8 billion up 17 percent, and the balance sheet debt free after repaying convertible notes. More than 1,200 financial institutions run on the platform, with average customer contract length above ten years and initial commitments averaging more than five. Listed on the New York Stock Exchange and headquartered in Austin, Texas.

Bdeo sells what it calls Visual Intelligence, a computer vision system that analyses photographs and video of damaged vehicles and homes to detect damage, determine its severity and support the decisions that follow. The founding premise, stated by its chief executive, is that roughly 70 percent of claims are minor and can be assessed with technology rather than by sending a person, and the product is built to capture that band remotely. The estate spans both ends of the policy lifecycle. On claims it handles motor and household damage assessment, checks historical images for pre existing damage, helps repair workshops prepare estimates, and supports authorisation by validating a repairer's estimate against the image evidence. On underwriting it performs inspections of used vehicles before a policy is written, which is its dominant use in the Spanish market. A fleet product provides visual status of vehicle fleets for leasing, rental and rent a car operators. Regional deployments differ in emphasis: United Kingdom operations concentrate on claims, Spain on underwriting inspection, Mexico on rapid customer response, and Germany on integration with local telematics providers so that an incident is detected automatically and visual capture begins immediately. Scale is stated as more than 50 insurers across more than 25 countries in Europe and Latin America, with presence in Spain, Portugal, Italy, France, the Nordics, the United Kingdom, Mexico, Colombia and Argentina, and a South African client. The company reported in mid 2023 that it handled more than half of motor insurance underwriting in Spain and worked with 8 of the 10 leading Spanish motor insurers. Named customers include Reale, Mapfre and Generali in Spain, Ageas and Fidelidade in Portugal, Zurich, Allianz and BBVA in Latin America, Hollard in South Africa, and Mutua Madrileña, with whom it built a system to automate policy underwriting. Founded in 2017 in Madrid by Julio Pernía and Manuel Moreno, both from the insurance industry, the company employs roughly 63 people and states that 65 percent of the team works on the technology itself. It has raised approximately 15.2 million dollars across seed, Series A and Series B rounds from BlackFin, K Fund, Armilar, Big Sur Ventures, the Spanish industrial technology development centre, Íope Ventures and the South African insurer Hollard, which is both an investor and a named client, alongside regional grants and a European Innovation Council Seal of Excellence.

Verisk is a publicly traded data analytics and technology provider to the global insurance industry, listed on Nasdaq and a constituent of both the S and P 500 and the Nasdaq 100, and it occupies a position no other vendor in this index holds. Through the Insurance Services Office, formed in 1971 and a wholly owned subsidiary since October 2009, it operates as a licensed advisory organisation and statistical agent: it collects industry wide policy and claims data, projects future claim costs, and submits standardised forms and loss costs to state regulators on behalf of insurers. Those filings form the starting point from which most United States property and casualty carriers build their own rate filings. Its published data scale is 34.5 billion statistical records, comprising 8.2 billion commercial lines and 21.5 billion personal lines records, and its coverage language is maintained against roughly 10,000 legislative bills, 8,000 regulatory actions and 2,000 court decisions each year. The business reports in two groupings. Underwriting covers forms, rules and loss cost services plus extreme event and catastrophe solutions used in reinsurance and insurance linked securities. Claims covers anti fraud and casualty solutions alongside the Xactimate estimating ecosystem. Artificial intelligence is embedded into products carriers already run rather than sold as a separate line. Generative capability is live in the premium audit research tool, the form composition tool, the estimating platform and the claims document tool, with a claimed reduction of up to 98 percent in research time on premium audit documents. XactAI spans claim summaries, photo labelling and description generation, document data extraction, plain language estimate construction, inventory pricing and estimating recommendations, and integrates across the Xactimate, XactAnalysis, XactContents, XactXpert and ClaimXperience products. Licensee numbers rose nearly tenfold between March 2026 and mid 2026 to approximately 7,000. Digital Media Forensics detects image manipulation and deepfakes in claims. Seven Core Lines Reimagine modules shipped in the second quarter of 2026 against a stated target of 25 for the year. In May 2026 the company launched two Model Context Protocol connectors built with Anthropic for underwriting and claims, bringing its datasets into Claude workflows with retrieved data stated to remain inside the client session and outside model training, alongside a Claude Enterprise integration giving natural language access to loss cost trends and estimating intelligence. Governance is published rather than asserted. A Commitment to Ethical and Responsible AI disclosure sets out ethical principles, an artificial intelligence governance structure, standards and review processes, and the claims document product's governance has been aligned to the state commissioners association model bulletin and the federal artificial intelligence risk framework through an independent governance vendor's control library. Second quarter 2026 revenue was 806.3 million dollars, up 4.3 percent, with subscriptions at 83 percent of revenue and full year guidance of 3.19 to 3.24 billion dollars. Headquartered in Jersey City, New Jersey, with teams across more than 20 countries.

FRISS screens the whole policy lifecycle for property and casualty insurers and calls the result trust automation, which is a deliberate inversion of how this category usually talks. Rather than leading with fraud caught, it leads with honest customers cleared: screening every application and claim within seconds so trustworthy business moves faster, with the suspicious minority routed to a person. The company states its purpose as not wanting people to pay higher premiums because others commit fraud. The product covers three points in the lifecycle. At underwriting it screens new policy applications and renewals in the seconds it takes an applicant to complete a form, scoring for misrepresentation and high risk. At claims it scores at first notice of loss and across the claim lifecycle. For special investigation units it supports structured and confidential fact building on the cases that are flagged. One published customer describes screening results as decisive in deciding what is accepted, reviewed or rejected. Unlike most vendors in this index the company publishes a responsible artificial intelligence position, setting out transparency, fairness, accountability and governance as principles and engaging the European artificial intelligence regulation by name, including its enforcement timeline. Scale is substantial for a focused vendor: more than 300 implementations across more than 45 countries, roughly 223 staff, and 81 million dollars raised including a 65 million dollar Series B led by Accel KKR with Aquiline. An independent 2026 buyer's assessment places it as the mid market detection vendor most commonly shortlisted by United States carriers alongside the industry data utility, with automotive its strongest line and its United States footprint growing through integrations with the dominant claims core platform. The same assessment notes its cross carrier contributory data network is smaller than the market leader's. Founded 2006 by Jeroen Morrenhof and Christian van Leeuwen, headquartered in Utrecht with a United States base in Ohio and offices across the United Kingdom, France, Spain, the German speaking markets and Latin America.

Shift Technology is a pure play insurance artificial intelligence company, with a stated 100 percent focus on the industry since its founding in 2014, and it reaches the market through the core platform most property and casualty insurers already run. Its products are organised around three decisions: detecting fraud in claims, applications and organised rings; automating the claims process from first notice of loss through straight through processing; and catching application fraud before a policy binds. Subrogation recovery, payment integrity and claims document analysis sit alongside them. The company describes combining generative, agentic and predictive approaches, and its current positioning is explicitly agentic, with published agents that assess subrogation opportunity and draft the initial demand package, review a third party insurer's response and guide negotiation, assess whether medical billing applies to a claim and estimate treatment duration, and synthesise cross carrier claim history into recommended next actions for a handler. It states it was an early adopter of large language models in 2020 and has analysed more than 2.6 billion policies and claims. Scale and validation are unusually strong. More than 115 insurance customers across 25 countries, more than 5 billion dollars in reported fraud savings, and a five year renewal in March 2026 with AXA extending a collaboration begun in 2016 across 15 countries, with that insurer's own transformation executive on the record. Covéa signed as a strategic partner for fraud and risk. An industry body in Australia selected the company with EXL to build a national motor fraud detection platform. The relationship with Guidewire is the structural asset: strategic partner for insurance decisioning, premier technology partner status, an accelerator on that vendor's marketplace, and a direct strategic investment. Underneath, the platform runs on Microsoft Azure artificial intelligence services, named openly in that provider's own case study. Headquartered in Paris with offices in Boston, Mexico City, Sao Paulo and Tokyo, and 320 million dollars raised.

CSI is the fourth of the core providers serving United States banks, and the one built specifically around community and regional institutions. Its NuPoint core is reported by an independent industry data source as the second most used core banking platform in the country, and the platform has taken a best core banking system award and an analyst assessment naming it best in user experience among United States core systems. New core wins have been reported at 22, then a record 33, in successive years. The estate around the core is unusually wide and reaches beyond banking software into operations. It spans core processing, digital banking, lending, payments including instant settlement made available to all core customers, treasury management, account origination, regulatory compliance covering anti money laundering, sanctions screening and know your customer, managed cybersecurity and cybersecurity compliance, managed information technology, an outsourced call centre integrated with the bank's own customer system, and print and electronic document distribution. The artificial intelligence line is concentrated in financial crime. TruDetect and TruProtect launched in April 2025 as anti money laundering compliance and fraud detection products, built with the data company DATASEERS and named as such, and the company has stated an intention to develop further fraud solutions with that partner. TruDetect is natively integrated into the company's own core and is also stated to integrate into any other core banking system, which is a deliberate choice for a core provider to make. A teller facing real time check fraud capability followed, and the company publishes current material on conversational artificial intelligence in banking. CSI has also become an acquirer in this market, buying Velocity Solutions in September 2024 for its deposit growth, overdraft decisioning and small business lending platforms. Computer Services, Inc. was founded in 1965 and is headquartered in Paducah, Kentucky. It traded publicly until November 2022, when Centerbridge Partners and Bridgeport Partners took it private in an all cash transaction valued at approximately 1.6 billion dollars.

Zoot has been running hosted credit decisions since 1992, and the shape of the product still reflects that origin. Two components sit at the centre: a stateless processing service that handles applications, and a business rules editor presented through a graphical interface built deliberately for business users rather than engineers. The company's own framing is that clients hold absolute control to implement rules, processes and policies across the enterprise and change them as markets move, without waiting on their technology department. A named customer confirms the effect, reporting direct hands on control over its boarding rules with no engineering involvement. Around that sits an unusually large data layer. The platform connects to hundreds of live sources spanning credit, fraud, identity and open banking through a single gateway, with a partner network offering pre built connections to established providers and the stated ability to integrate new ones quickly, including third party artificial intelligence and machine learning models. The company also states it can integrate with any core banking or credit union system a client runs. Coverage spans the credit lifecycle rather than origination alone, including instant prescreen, account opening, customer acquisition, credit decisioning, loan origination, credit risk management, fraud, cross sell, and collections and recovery. Current descriptions place business rules, machine learning and agentic artificial intelligence together in the decisioning path, though the rules engine long predates the learned components. Infrastructure is owned rather than rented. The main data centre sits at the company's own headquarters in a seismic rated building surrounded by a fibre optic loop, with stated availability of 99.9 percent, and the company argues its remote location insulates it from risks concentrated in dense urban areas. Published assurance includes payment card and health information security certifications alongside annual service organisation control audits of both types. Founded 1990 by Chris Nelson in Bozeman, Montana, with roughly 223 staff across four continents and separate United States and European operations.

GDS Link sells the layer between a lender's data and its credit decision. The platform, marketed as the GDS Link Decisioning Platform and built on the Modellica and DataView360 lineage, integrates more than 200 external data sources with attributes already defined so the data arrives ready to decision on, then executes the lender's own rules, scorecards and workflows against it. The company reports processing hundreds of thousands of decisions daily across several countries. Coverage spans the whole credit lifecycle rather than the application alone, with published capability across originations, account management, collections, compliance and fraud prevention, and continuous monitoring of borrower behaviour after booking so a lender can react to a deteriorating risk profile rather than discovering it at default. Model governance is named as a platform capability and positioned against changing regulatory requirements. The positioning is deliberately configurable rather than opinionated. Lenders set their own criteria and risk models, the design is modular, and the company describes a highly collaborative delivery approach on the basis that no two lenders are the same. That flexibility is the product's argument and also the reason the artificial intelligence sits where it does: the analytics module adds machine learning on top of an engine that runs perfectly well on a lender's own rules. Institution coverage is developed by type, with separate published material for banks, credit unions, fintechs, specialty lenders and small business lenders. A named credit union customer reports moving from three days behind on application processing to 45 minutes, automating 65 percent of its decisions, and more than tripling revenue over five years. Founded 2006 and headquartered in Dallas, Texas, with around 200 staff and seven international offices including the United Kingdom and Spain. The company is privately held and backed by private equity, with Serent Capital and Saratoga Investment on the register following a 2022 buyout.

Jack Henry is the third of the three companies whose core systems run most United States banking, and it is the one aimed squarely at the small end of the market. Roughly 7,400 community banks and credit unions depend on it, and the company defines that segment with unusual precision in its annual report: its average core bank client holds 1.29 billion dollars in assets and its average core credit union client 1.20 billion. Symitar is the dominant credit union core and SilverLake serves a large share of community banks, with the Banno digital platform above them reaching more than 15.8 million registered users across over a thousand institutions. The artificial intelligence line is broad rather than concentrated in one flagship. Management reported 22 artificial intelligence enabled products in market at the close of its 2026 financial year with more than 20 further capabilities identified for release within six months, stating on the record that strict risk management, compliance and governance frameworks would be maintained so that clients always remain in control. The most developed product is Financial Crimes Defender, a cloud native real time fraud and Bank Secrecy Act compliance platform covering checks, deposits, transfers, automated clearing house and instant payments, able to stop a transaction before it leaves the institution. It screens against sanctions and watchlists, files the required regulatory reports, and has the Federal Reserve's fraud classification model built in natively. It reached 189 completed installations by 30 June 2026 with 57 more in progress, and now includes assisted drafting of suspicious activity report narratives, which the company puts at saving at least an hour per investigation. Notably, the platform is built through a named partnership with Feedzai rather than on a proprietary engine. Separately, a collaboration with Google Cloud dating to 2022 was extended in June 2026 to build a proprietary artificial intelligence security platform using that provider's agentic defence products, alongside operational use cases on its enterprise agent platform. The company is listed on Nasdaq and headquartered in Monett, Missouri.

Fiserv is one of the two companies whose software most United States banks actually run on, and this record grades the artificial intelligence line it has built on top of that position. The estate spans account processing and digital banking, card issuer processing and network services, payments, electronic commerce, merchant acquiring and processing, and the Clover point of sale and business management platform. The banking segment alone reports 2.4 billion dollars of revenue across more than 3,500 financial institutions, digital payments runs just under 4 billion dollars and serves 41 of the 50 largest United States banks, and the financial solutions side reports more than 6,000 clients globally. The artificial intelligence line is agentOS, launched 14 May 2026 as an operating system for agentic artificial intelligence in banking and stated as widely available from August 2026. It runs natively across the company's own core, payments, issuer processing and servicing platforms rather than beside them, which is the point of it: an institution already running Fiserv systems can deploy agents into those workflows without a separate integration. Six financial institutions co developed it and two were running agents in beta at launch. Strategic collaborations with OpenAI and Amazon Web Services are named openly. Its distinguishing feature is a marketplace. Institutions can run agents Fiserv built, build their own, or deploy agents from third parties, all inside the same governance, identity and audit controls. Four first party agents launched, covering commercial loan onboarding, daily operational analysis and reporting, deposit intelligence and anti money laundering triage, alongside nine third party agents spanning risk management, regulatory reporting, deposit operations and back office reconciliation. The company is candid about a difficult period. Executives have publicly attributed higher than desired core banking attrition to past service failures, missed product deadlines and forced conversions, with a co president stating the company has a service problem rather than a technology problem, and have committed to supporting all cores with no forced migrations. Fiserv is listed on Nasdaq and is a member of the S&P 500.

Bottomline is payments infrastructure with fraud analytics layered on top, and the proportions matter for how this record reads. The company moves more than 16 trillion dollars a year across four connected businesses: Paymode, a business payments network with more than a million businesses on it exchanging over 500 billion dollars annually, a commercial digital banking platform sold to banks, financial messaging where the company is a top three service provider on the interbank messaging network, and cash management for corporate treasury. The artificial intelligence sits in two places. Payments Fraud Defense, released in January 2026, consolidates behavioural analytics, interdiction, analytics tuning and session replay into one platform that the vendor positions explicitly as complementing a bank's existing fraud systems rather than replacing them. Its detection draws on the company's own analytics plus insights from third party risk solutions and consortium data, and it is aligned to named rail level obligations including the 2026 automated clearing house fraud monitoring rules. A pilot Fraud Intelligence Exchange launched in June 2026 to move fraud intelligence sharing between banks off manual processes. Separately an embedded agent was added to treasury and cash management in late 2025. The network and the fraud work reinforce each other in a way worth noting: a 2026 capability inside the digital banking product analyses a bank's own payment history to identify customers still paying heavily by cheque and routes them toward electronic rails, which the company frames as fraud reduction through channel migration rather than through detection. Founded 1989 in Portsmouth, New Hampshire, Bottomline listed on Nasdaq in 1999 and traded publicly for 23 years before Thoma Bravo took it private in May 2022 for roughly 2.6 billion dollars. It divested its legal spend business in 2025 to concentrate on payments, and American Express connected its buyer initiated payments into Paymode in 2026. Chief executive Craig Saks previously ran parts of ACI Worldwide.

Incognia answers the identity question with geography. Its premise is that where a person is, over time, is a harder credential to fake than what device they are holding, because people handle important account actions from places they habitually occupy. The platform learns a user's trusted locations, typically home and workplace, from background location signals and motion sensors collected through a mobile software development kit, and treats a departure from that pattern at the moment of login or payment as a risk indicator. The company reports that 90 percent of device authorisations on its network occur at one of the user's trusted locations. The second half is device work. Incognia ID is sold as a persistent identity that survives what ordinarily defeats fingerprinting, namely factory resets and device swaps, and the company pairs it with tamper and location spoofing detection on the grounds that a location signal is only worth anything if it cannot be faked. Clusters of devices are surfaced to expose device farms and repeated resets. The company describes the combination as identity affirmation rather than identity validation, citing an analyst definition, and is explicit that the signal supports an identity claim rather than proving the claimant is present. Financial lines are separately developed and carry finance specific logic, which is what places this record here rather than outside scope. A dedicated banking and fintech line covers account takeover, device authorisation at high risk events, new account fraud, and a transaction risk model that scores an individual payment high, low or unknown from hundreds of inputs spanning the user's past transactions, location history, prior fraud events and device data. The company also publishes original research on mule account handover. Food delivery, ride hailing and marketplace lines are sold from the same network and are excluded here. The network is the moat: close to a billion devices, more than 500 million places mapped, and monthly activity across hundreds of millions of devices. Founded 2010 by Andre Ferraz and Alan Gomes, pivoted to fraud prevention in 2020, with 47 million dollars raised and offices in California, New York, Sao Paulo and Recife.

Darwinium moves the fraud decision out of a vendor's cloud and into the customer's own network perimeter. Rather than shipping a tag or a software development kit that calls an interface at chosen moments, it runs as an edge worker inside the content delivery network the business already operates, naming Cloudflare and Amazon CloudFront among them. Everything crossing that perimeter is therefore visible in one place, from the first page a visitor lands on through account creation, login, detail changes, listings, checkout and payment, and the platform can act on the journey as it happens rather than scoring a moment after the fact. The company puts deployment at as little as 15 minutes and native mobile software development kits were added in 2026 to extend the same coverage inside applications. The data architecture is the second half of the design and is unusually strong. Customer data is encrypted at the edge using hybrid public key encryption where Darwinium holds only the organisation's public key, so by its own account it can encrypt but cannot decrypt without the customer's involvement. Analysed data can be stored encrypted in the organisation's own storage under its own keys. The stated consequence is that the vendor never sees customer data in the clear and does not become a target worth attacking. What the models produce is identity from behaviour. The company calls these digital signatures, recognising a returning user even when device, browser or behavioural elements change, and describes itself as an intent engine rather than an identity one, consuming third party signals a customer already runs rather than displacing them. Financial lines are named and separately developed: retail banking and fintech as industries, and account takeover, payment fraud and scam detection as use cases, the last combining transaction intelligence, behavioural biometrics and what the vendor calls victim propensity modelling to alter a suspected scam journey in real time. Agent intent detection extends the same question to automated traffic. Founded 2021 in San Francisco by Alisdair Faulkner and colleagues from ThreatMetrix, with offices in London and Sydney and 26 million dollars raised through a Series A led by U.S. Venture Partners.

ThreatMark builds a behavioural baseline for each individual banking customer and watches for departures from it. The platform profiles how a person physically uses a device, keystroke rhythm, navigation habit, touch and pointer movement, session pattern, and combines that with device and threat signals and transaction context into one continuously updated view. The company calls the result behavioural intelligence and positions it against what it characterises as the traditional approach, a single backward looking check rather than constant monitoring of the present session. The stated design premise is that the fraud that matters has moved off the bank's platform. Where a criminal once attacked the session directly, they now manipulate the customer into authorising the payment themselves, which defeats controls built to detect unauthorised access. The vendor's own research puts social engineering in most fraud at 55 percent of surveyed institutions, and its product line follows that: dedicated material for authorised push payment scams, instant payment scams, investment scams, romance scams, purchase scams and peer to peer fraud, alongside the older categories of account takeover, remote access attacks, session hijacking, subscriber module swap, financial malware, money mules and new account fraud. Five components are published. The Behavioral Intelligence Platform carries the profiling, threat detection and transaction risk analysis. ScamFlag is a generative agent built into the banking app that reads a screenshot or photo a customer submits from any channel, extracts and interprets the content, checks links and account numbers against public sources and an internal database, and returns a scam assessment with recommended actions. Smart Insights supports analyst decisions. The Cyber Fraud Fusion Center runs phishing and malware disruption. FraudIntel handles cross border scheme detection and intelligence sharing. Behavioural signal is also sold as the inherence element for European strong customer authentication, and transaction risk analysis supports the associated exemptions, so the product sits inside a named regulatory mechanism rather than beside it. The company reports more than 40 million users protected. Founded 2015 in Brno, ThreatMark now lists its head office in Charlotte, North Carolina, with offices in Brno and London.

Prove verifies people through the phone rather than through a document and a selfie, and that choice is the whole architecture. The premise is that a mobile number held in someone's name for years, tied to a SIM in a device they physically possess, is a harder credential to forge than an image, because defeating it requires buying a phone in the victim's name, paying for it over time and mimicking their usage. The company's chief executive states the position directly, arguing that a model can fabricate a face or clone a voice but cannot replicate a decade of real behaviour, and describes the approach as deterministic identity. Underneath sits the Prove Identity Graph, a registry the company puts at more than a billion privacy preserving identity tokens covering roughly 90 percent of digitally active adults across 227 countries, fed by telecom signals, bank and public records and over a decade of proprietary data, and processing more than 30 billion verification events a year. Signals are orchestrated by the Prove Global Fraud Policy, an internal defence engine that combines possession, ownership, SIM and device trust, identity matching, address intelligence and mobile network analysis into a single pass or fail outcome. The name is easily misread: it is a policy engine, not an insurance policy. The financial lines are separately built products rather than a vertical page, which is why they are what this record grades. Pre Fill populates an application from verified data and bundles sanctions, watchlist and politically exposed person screening at no additional charge. Account Opening activates a bank account from a name and phone number. Unified Authentication replaces one time passcode flows. Know Your Payee verifies a payment recipient before funds move. An agentic suite verifies AI agents and binds signed consent into a token that travels with each agent action. Healthcare, gaming and marketplace lines are sold from the same graph and are excluded here. Distribution runs through banking infrastructure: a cloud marketplace listing, a core banking exchange, and partnerships with digital banking and lending origination platforms. Named financial customers include two United States global banks, a card network, a card issuer and a national bank. The company is Prove Identity, Inc. of New York, founded 2008 as Payfone by Rodger Desai and Brad Rosenfeld.

Linkurious sells the investigation layer rather than the detection engine. Its premise is that financial crime hides in relationships rather than in single records, so a shell company, a shared address, a repeated device or a chain of intermediaries only becomes visible when the data is traversed as a network. The product renders that network for an analyst, lets them expand outward from any node, and holds the resulting judgement in a case. The estate splits into two editions and the split matters to a compliance buyer. Linkurious Enterprise Cloud is fully managed, priced publicly per user, and covers search, visual exploration, a no code query builder, geospatial and temporal analysis, collaboration and export. It explicitly does not include entity resolution, alerts, case management or the interface. The Linkurious Decision Intelligence Platform is the self managed edition, deployed on premise or in the customer's own cloud, and it carries the four capabilities the managed edition omits. A financial crime team therefore buys the quoted edition rather than the priced one. Underneath, the product is deliberately not a database. It reads from graph stores the customer already owns, supporting Neo4j, Amazon Neptune, Azure Cosmos DB, Memgraph, Google Spanner Graph and Google BigQuery Graph, and it publishes a per store feature map showing which capabilities work against which. That posture is the reason this record exists rather than being screened out as infrastructure: the graph database is the substrate, and Linkurious is the application over it. Financial lines are separately developed, with distinct published material for banking, anti money laundering and counter terrorist financing, and counter fraud, alongside case management, alerting and machine learning that adjusts anti money laundering scoring from analyst decisions. Named financial customers include a French digital bank in the Credit Agricole group, a global money transfer business and a global insurer. The platform is also the software behind the Panama Papers investigation. The company is Linkurious SAS of Paris, founded 2013 by Sebastien Heymann and Jean Villedieu. Nuix Limited, listed in Australia, announced its acquisition on 4 December 2025 and closed on 20 April 2026 at up to 20 million euros following French foreign investment approval. The brand, website, product names, pricing and legal entity all continue, presented as a Nuix company.

SymphonyAI is a Palo Alto headquartered vertical AI company operating across several industries, and this record covers only its financial services division, built around NetReveal, the financial crime platform it acquired from BAE Systems in 2022, and its own Sensa artificial intelligence line. The combination is deliberate: NetReveal supplies established rules based transaction monitoring, customer due diligence, name and transaction screening, watchlist management, fraud management and regulatory reporting, and Sensa layers machine learning over it. The distinctive product is SensaAI, an overlay that augments an institution's existing transaction monitoring system using supervised and unsupervised learning without requiring replacement, so a bank can add detection capability to infrastructure it already runs rather than migrating off it. Around that sit Sensa Investigation Hub for case management, Sensa Copilot, a generative assistant that lets investigators interrogate a case in natural language and produce investigation summaries from which they judge whether a suspicious activity report is warranted, and Sensa Agents, which conduct research and draft report narratives. Sensa Risk Intelligence, launched in October 2025, packages large language models, analytics and agentic capability into an AI native compliance platform. The company publishes five principles of responsible AI and explains how each is met in the design of named products, ships explanations alongside predictions with a stated probability of match, and surfaces machine learning predictions inside the case management interface to support ongoing model validation. Published results include false positive reductions of up to 70 percent and a proof of concept reporting an 80 percent false positive reduction while retaining all true positives. Deployment runs on both Amazon Web Services and Microsoft Azure, with Sensa Copilot built on Azure OpenAI.

LexisNexis Risk Solutions is a data and analytics business founded in 1997, headquartered in Alpharetta, Georgia and owned by RELX. It sells across insurance, healthcare, government and law enforcement as well as financial services, and this record covers only its financial crime, fraud and identity lines. Those run deep. ThreatMetrix supplies digital identity and device intelligence drawn from the Digital Identity Network, a contributory pool the company describes as holding insight into more than 3.3 billion anonymised user identities and intelligence behind over 109 billion annual transactions. LexID Digital provides a dynamically matched tokenised customer identifier, and Behavioral Biometrics layers interaction analysis over both. The Dynamic Decision Platform delivers orchestration, forensic investigation, case management and reporting, while RiskNarrative offers end to end financial crime lifecycle management through a single application programming interface, letting compliance teams change risk models directly and integrate within days. Financial Crime Digital Intelligence combines ThreatMetrix, the Dynamic Decision Platform and the company's own WorldCompliance sanctions and politically exposed person data to assess sanctions exposure in digital channels, including a Sanctions Location Risk capability that pierces proxies and triangulates up to ten location signals. Underneath sits patented LexID Linking Technology and the HPCC Systems data platform. The company reports performing more than 100 million identity verification checks and over 100 billion screening requests annually and working with 93 percent of the Fortune 100. Two legal entities matter to buyers: LexisNexis Risk Solutions Inc. is a consumer reporting agency under the Fair Credit Reporting Act, while LexisNexis Risk Solutions FL Inc., which provides identity verification and fraud prevention, is not.

ACI Worldwide, listed on NASDAQ as ACIW, is a real time electronic payments software company whose Payments Intelligence and Risk Management segment sells fraud and financial crime detection to the institutions it already supplies with payment infrastructure. That position is the defining feature: the fraud decision sits natively inside the authorisation path rather than calling into it from outside. Two product families are described in the company's annual report. ACI Fraud Management for financial institutions serves banks, intermediaries, payment networks, processors, acquirers and merchants running private label portfolios, combining AI powered algorithms, data orchestration, network intelligence and predictive analytics, and it explicitly gives business users a full set of AI and expert rules capabilities they operate themselves. ACI Fraud Management for merchants and billers adds positive profiling, customisable fraud strategies, expert support and consortium data, and covers first party abuse across returns, coupons and payment aggregators as well as third party fraud including synthetic identity and account takeover. Underneath both sits patented Incremental Learning, a machine learning approach in which models make continuous small adjustments rather than requiring periodic retraining. The company reports drawing on more than 10,000 signals, over 8,000 AI features and more than 500 behavioural attributes, and describes its consortium as one of the largest data intelligence pools in the industry, fed by a customer base it puts at over 5,000 institutions. Adjacent products cover anti money laundering, know your customer and sanctions screening, strong customer authentication under the second Payment Services Directive, chargeback protection, dispute processing and payments orchestration. Named customers include Aegean Airlines, John Lewis Partnership, Mango and KTC. Delivery is as a multi tenant platform, in public cloud including Microsoft Azure, or on premises.

Fraudio is an Amsterdam company founded in 2019 by João Moura and Nathan Trousdell, both from the payments industry, selling fraud and financial crime detection to the payment chain rather than to merchants. Its buyers are payment service providers, merchant acquirers, card issuers, processors, card schemes, payment facilitators and large merchants operating their own gateway. Three products run on one platform: payment fraud detection, merchant initiated fraud detection for acquirers monitoring their own merchant portfolios, and money laundering detection. The architecture is the defining choice and it is the opposite of the per customer approach taken elsewhere in this lane. Fraudio pools the transaction datasets of all its customers into a single centralised model it calls a brain, trained on billions of transactions, requiring no per customer configuration and learning continuously from every transaction that passes through any customer. The company describes this as a third generation approach, a deliberate break from rules based systems and from machine learning trained on an individual customer's own data, and holds patents or patent applications over it. Responses are stated at under 100 milliseconds. Commercially it sells on a pay per use basis with monthly subscriptions and no commitment, and offers a free Proof of Results in which a prospect supplies historical transaction data and compares Fraudio's detection output against their incumbent before paying anything. The company reports around 31 staff, roughly 3.3 million dollars raised across three rounds including a Series A in June 2026, and backing associated with ING, Payvision and Viva Wallet.

Ravelin Technology is a London fraud prevention and payments company founded in 2015 by Martin Sweeney and Leonard Austin, who built it after encountering the problem as merchants at the ride hailing company Hailo. Worldpay acquired it in February 2025 on undisclosed terms, and it continues to sell and publish under its own name from ravelin.com. The architecture is the distinguishing feature: rather than scoring against a generic model, Ravelin trains custom machine learning models on each merchant's own historical data, arguing that purpose built models outperform generic ones, and layers graph network link analysis over that merchant's dataset to expose fraud rings and connections in real time. A separate cross merchant lookup answers whether a shopper has been seen as legitimate or fraudulent elsewhere, and the company states that database is fully anonymised. Solutions cover payment fraud, policy and refund abuse, account takeover and multi accounting, promotion and voucher abuse, marketplace and supplier collusion, 3D Secure authentication, and transaction optimisation for acceptance and fee management, sold to online merchants and payment service providers. Ravelin Insights adds performance monitoring, transaction anomaly investigation and an artificial intelligence query builder for custom reporting. The company publishes its annual operating figures: in 2025 it secured more than 3.5 billion transactions, served 755.2 million unique shoppers, processed over 61.5 billion dollars in orders, and supported more than 340 merchants taking payments from over 250 countries and territories. It holds ISO 27001:2022 assessed by the British Assessment Bureau alongside Payment Card Industry Data Security Standard and PCI 3DS certification, and names Ekata and Ethoca as data partners.

Accertify is an enterprise fraud prevention and payments company based in Itasca, Illinois, and led by president Mark Michelon. It was a wholly owned subsidiary of American Express from 2010 until May 2024, when the private equity firm Accel-KKR completed a carveout acquisition on undisclosed terms, returning it to standalone independent ownership while American Express continued as a partner. The product set is broader than most competitors in this lane and spans four connected areas: fraud prevention and decisioning built on the historic Interceptas platform, chargeback management, account protection through Accertify Digital Identity, an application programming interface product launched in 2020 covering account opening and account takeover, and a payment gateway, which takes the company into payments infrastructure rather than sitting beside it. Device intelligence is delivered through InAuth technology. The company describes its platform as resting on four pillars of artificial intelligence and machine learning, community insights drawn from pooled customer data, expertise, and customer held flexibility and control, with user behaviour analytics alongside device signals. Customer concentration is stated at 40 percent of the top 100 online retailers together with major global airlines, sports betting platforms, travel and hospitality operators and financial services enterprises. Delta Air Lines is named as a customer since 2010, with the airline's Revenue Protection Unit using the platform and the partnership publicly renewed. The company announced ISO 27001 certification in 2011 and published its information security management system scope at the time.

Kount is a payment fraud and digital identity platform founded in 2007 in Boise, Idaho, acquired by Equifax in the first quarter of 2021 for 640 million dollars and since operated within that company's United States Information Solutions unit while continuing to sell under its own name at kount.com. The core asset is the Identity Trust Global Network, which the company describes as linking trust and fraud signals drawn from 32 billion digital interactions, 17 billion unique devices and five billion annual transactions across 200 countries and territories, resolved through machine learning and a patented device fingerprinting portfolio. Products are packaged as Kount 360, covering payment fraud scoring for card not present transactions, account creation and account takeover protection, chargeback management including a real time prevention capability built with Verifi, identity verification, and a regulatory compliance line that screens inquiries against global sanctions lists, United States government denied parties lists and politically exposed persons, with customer portfolios rescreened hourly and daily and an optional managed review service. What distinguishes the platform commercially from most of its direct competitors is what it does not do: Kount scores and decides but offers no chargeback guarantee, so the merchant retains the financial liability. What distinguishes it technically is its parent, since Equifax consumer identity data is disclosed as an additional signal feeding the fraud models alongside Kount's own device network. Commerce integrations are named for Magento, Shopify, BigCommerce and Salesforce Commerce Cloud alongside a direct API, and the platform serves ecommerce, financial services, retail, restaurants, travel and entertainment.

Bureau is a unified risk decisioning platform founded in 2020 by Ranjan Reddy, headquartered in San Francisco with offices in India, Singapore and Dubai. It sells across the whole customer lifecycle rather than at a single checkpoint, combining device, behavioural, identity, network and transaction signals into one decision layer spanning onboarding, authentication, payments, credit and compliance. Six product lines carry it: Device ID, Behavioural Biometrics, Identity Verification, a Graph Identity Network that links users, devices, addresses and behavioural patterns across platforms to surface fraud rings and synthetic identities, Alternative Data for assessing thin file borrowers, and a runtime application self protection line that sits outside the scope of this record. Named use cases include account takeover, bot detection, credit underwriting, location spoofing, promotion abuse, business verification and a Money Mule Score launched in 2024 that flags probable mule accounts during onboarding. Identity verification runs against government databases and business registries across a stated 195 countries and more than 2,000 document types, returning document checks in under two seconds and business profiles in under five, with deepfake, spoof and forgery detection the company puts at 99.9 percent accuracy. Compliance coverage spans know your customer, know your business, anti money laundering, politically exposed person screening and FATCA. The company states more than 200 signals, more than a billion verified identities, more than 200 customer brands and a 70 percent reduction in manual reviews. It entered Saudi Arabia in 2023 to support the fraud framework mandated by the Saudi Central Bank, expanded into the Philippines and Indonesia in 2024, and partnered with M2P Fintech the same year. Total funding is reported at around 50.7 million dollars.

Fingerprint sells device identification as a developer primitive rather than as a fraud decision. Its commercial product, Fingerprint Identification, combines browser and mobile signals with server augmented matching to produce a visitor identifier the company states is 99.5 percent accurate and stable across months rather than days, delivered through an API with software development kits for web, Android, iOS, React Native and Flutter. Smart Signals sit alongside the identifier, covering bot detection, virtual private network detection and internet protocol geolocation. The company also publishes FingerprintJS, a source available browser library carrying more than 28,000 stars on its public repository, which the company itself notes is materially less accurate than the paid server augmented product. Because the identifier is a primitive, it is sold horizontally, and only the financial lines are graded in this record: payment fraud covering fraudulent orders, unauthorised transactions, card testing and chargeback evidence, promotion and multi accounting abuse, loan application validation against previously rejected submissions, and account takeover. Personalisation, paywall enforcement, content metering, persistent shopping carts and analytics are sold from the same identifier and are excluded here. Commercially it is the most open vendor in this lane, publishing a three tier rate card with a free plan, a 99 dollar monthly plan including 20,000 web and iOS requests plus 500,000 Android requests, overage at 4 dollars per thousand, a 14 day unlimited trial, and a precise definition of what constitutes a billable request. Assurance runs through a trust centre carrying a SOC 2 Type 2 report, ISO 27001 certification with its Statement of Applicability, a penetration test report and a full policy set. Named customers include Neiman Marcus, Uni Cards and Zebeede.

SHIELD, trading as SHIELD AI Technologies Pte Ltd and formerly CashShield, is a Singapore headquartered device intelligence company founded by Justin Lie with roots going back to 2008. It occupies a different position from the order screening vendors it is compared against: SHIELD does not decide anything. It identifies the physical device behind an interaction and returns risk signals, and the customer's own systems make the call. The core asset is SHIELD Device ID, a device fingerprint the company states identifies devices across app and web with over 99.9 percent accuracy even after deliberate manipulation, supported by continuous session profiling that detects emulators, virtual private networks, application cloning, application tampering and location spoofing, and by behavioural signals such as device orientation and swipe speed. More than 30 configurable risk thresholds let a customer set their own tolerances, and the company commits that all data the platform generates belongs to the customer to log, inspect or feed into their own models. Coverage is stated at more than seven billion devices and 500 million user accounts. Delivery is through modular development kits for web, Android, iOS and React Native, server side integration, an alerting API, a unified dashboard and a Unity plugin the company describes as the first fraud prevention product on that asset store. Sector reach runs well beyond ecommerce into ride hailing, gaming, fintech, social platforms and marketplaces, with named customers including Alibaba, Razer, inDrive, Swiggy, Meesho, TrueMoney, BEAT and Buymed, and offices across Singapore, Jakarta, Bengaluru, Beijing, Berlin, London, San Francisco and Miami. The published privacy policy names Amazon Web Services as its data storage subprocessor and addresses automated decision making by citing Article 22 of the General Data Protection Regulation directly.

NoFraud sells full service ecommerce fraud screening to small and mid sized merchants, with a Shopify centred distribution model and the most testable commercial terms in its category. Orders are screened in milliseconds and returned as a binary pass or fail decision, drawing on merchant specific data, persona tracking, global blocklists, device fingerprinting, geolocation and velocity signals. Fewer than half a percent of orders are held for human review, so the analyst team handles an exception tail rather than the volume, which is the reverse of the analyst heavy competitors in this lane. Two mechanisms extend the decision past the model. Merchants can write custom rules and overrides, which several competitors do not permit. And for a limited set of high risk orders the company operates Cardholder Verification, where an analyst contacts the cardholder directly to confirm the order is legitimate before it is refused, which is the only mechanism located anywhere in this lane that brings the affected consumer into the decision. An optional chargeback guarantee covers the full cost on passed orders, with its scope published and limited to unauthorised or fraudulent card use rather than non fraud disputes, which are handled by a separate Chargeback Management service alongside dispute representment. Screening covers card not present orders across cards, PayPal, Apple Pay, Alipay and Amazon Pay. Commercially the company publishes a free plan for up to 100 screened orders a month, no setup fees, charging only on approved orders, and a stated threshold of 50,000 dollars of monthly revenue above which pricing becomes custom. Published customer results include Obvi at a 1.6 percent revenue lift with chargebacks down 70 percent, and Caraway halving fraud while gaining 68,000 dollars in monthly revenue.

ClearSale is an ecommerce fraud prevention business founded in Brazil around 2001, formerly listed on the B3 exchange as CLSA3 and acquired by Experian on 1 April 2025, since when it has continued to sell under its own name and describe itself as an Experian company, with its Brazilian operation running through Serasa Experian. It takes a structurally different position from the other guarantee sellers in this lane by pairing models with people at scale. Every transaction is scored by AI models, every flagged transaction is then reviewed by a human fraud analyst rather than declined automatically, and the company operates a stated 2,000 or more specialist analysts covering 160 or more countries around the clock. Approved orders carry a chargeback guarantee covering the full cost, a product the company claims to have originated. Alongside it sit Chargeback Protection delivered through ChargebackOps, acquired in January 2022, Account Protection for identity and abuse, Brand Protection for phishing and threat monitoring, and an AI Agents Portal exposing the platform to machine readable commerce. The company reports more than five trillion dollars in transactions analysed, a 99 percent accuracy service level and reductions in fraud and chargebacks of up to 95 percent. Unusually for this lane it publishes an actual entry price, with Growth plans starting at 250 dollars a month on usage based pricing and no upfront or setup fees, and a custom tier above 50,000 orders a month. Eighteen or more native integrations are named including Shopify, Magento, BigCommerce, WooCommerce, VTEX, Salesforce Commerce Cloud, Oracle Commerce, PrestaShop and Shift4Shop. Named customers include Motorola, Samsonite, Victoria's Secret, AutoZone, Office Depot, Bloomberg, SSENSE, Azul and Dafiti.

Sift, formerly Sift Science, sells fraud decisioning to business to consumer digital companies and takes the opposite commercial position to the chargeback guarantee vendors it competes with. Rather than assuming liability and returning a verdict, Sift returns a real time risk score on every event and leaves the decision with the customer, arguing in its own marketing that opaque outsourced decisioning creates blind spots and erodes visibility. The customer keeps chargeback liability and gets control in exchange. Scoring runs across the whole user journey rather than checkout alone, covering account creation, login, transactions, content posting, disputes and custom events, and the company states its models draw on more than 16,000 signals and more than a trillion events annually from a network it puts at 34,000 sites and applications. Three product lines sit on that engine: Payment Protection for transaction fraud and chargebacks, Account Defense for fake accounts and account takeover, and Content Integrity for spam, scams and fraudulent reviews. Only the first two are graded here, since content moderation for social platforms and user generated content sits outside financial services. Around the engine sit an analyst console with review queues, automated workflows, a rules builder for real time strategy changes, a benchmarking product comparing a customer's fraud metrics against the network, and the option to feed the Sift score into a customer's own risk models. Assurance is documented through a trust centre at trust.siftscience.com, carrying ISO 27001:2022 certification and a SOC 2 Type II report renewed annually, with Coalfire named as the auditor on the company's own announcement. Named customers include Twitter, McDonald's, DoorDash, Wayfair, Twilio and Alaska Airlines.

Signifyd sells ecommerce commerce protection under a financial guarantee, and unusually for this lane it sells to two buyer types rather than one. The Commerce Protection Platform serves merchants and covers Guaranteed Fraud Protection, Complete Chargeback Protection, Account Protection, Authorization Rate Optimization built on issuer integrations, Chargeback Recovery, Return Insights and Instant Refunds. A separate Payments Optimization Platform is sold to payment providers. The guarantee is configurable rather than fixed, running from fraud only cover to a total chargeback liability shift, and the company draws an explicit distinction between that and a performance service level guarantee, arguing an approval rate promise carries no incentive to exceed the target. Decisions are made from session data covering internet protocol address, behaviour and transaction detail, with a machine learning contextual layer drawing on forensic data and more than 150 out of band identity sources, and the company states it recognises over 98 percent of online shoppers through its merchant network. Two mechanisms sit around the automation: Expert Re-review, under which a declined order can be resubmitted with further information for review by a certified fraud analyst, and a published commitment to supply the data behind a decision. Assurance is documented rather than asserted, with an annual SOC 2 Type II available under non disclosure, a SOC 3 report downloadable without one, ISO 27001, PCI DSS Level 1 and PCI 3DS. Named privacy regimes include GDPR, CCPA, Brazil's LGPD and Mexico's federal data protection law, with a public data subject access request form. The company reports more than 6,000 brands and has been ranked first in the Digital Commerce 360 Leading Vendors to the Top 1000 Retailers report for five consecutive years.

Riskified is an ecommerce fraud and risk intelligence company founded in 2013 by chief executive Eido Gal and his co-founder, incorporated in Israel as Riskified Ltd. and listed on the New York Stock Exchange under RSKD. The commercial arrangement is what distinguishes it: under the flagship Chargeback Guarantee, Riskified returns an approve or decline decision on each order in under a second, the merchant is charged only on approved orders, and Riskified reimburses the merchant in full for any fraud chargeback on an order it approved. The company therefore carries the cost of its own model errors on its own balance sheet, audited and reported to the Securities and Exchange Commission. Around the guarantee sit Adaptive Checkout, which replaces binary approve and decline with checkout flows graduated to each order's risk rather than blocking outright; Account Secure, covering account takeover prevention, fake account prevention and account recovery, described as fully automated; Policy Protect, launched in 2024 for refund and return abuse; and Dispute Resolve for chargeback representment. Decisions draw on machine learning models with custom engineered features and identity and linkage intelligence, fed by the merchant's own data and by a cross merchant network. Delivery is a REST and webhook API with software development kits for PHP, Java and .NET, device intelligence kits for iOS, Android, React Native and Unity, and native connectors for Shopify including headless, Adobe Commerce, Salesforce Commerce Cloud, SAP Commerce, commercetools, VTEX, Adyen, Braintree, PayPal and Stripe. The 2025 annual report on Form 20-F records revenue of 344.6 million dollars, up five percent, and a net loss of 27.6 million dollars, narrowed from the prior year, and names Maxmind, Ekata and Emailage as third party data sources feeding the models.

Early Warning Services is a bank owned financial infrastructure company based in Scottsdale, Arizona, wholly owned by seven of the largest United States banks and operating for more than three decades under the name Primary Payment Systems before rebranding. It runs three brands: the Zelle payments network, the Paze digital wallet, and Certos, the unified portfolio of identity, account and payment risk products launched in April 2026 that carries the inference line and is the basis on which this record is graded. Certos sells to roughly 2,500 banks and credit unions and to about 5,000 total participants spanning financial services companies, payment processing companies, merchants, government entities and identity theft protection service providers. The products are Verify Identity, which scores in real time the likelihood that an applicant is who they claim to be; Predict New Account Risk, which draws on contributed deposit account activity to surface early indicators of account misuse and first party fraud; Deposit Chek, which evaluates deposit risk for funds availability decisions using embedded machine learning models that assess the likelihood of check and automated clearing house returns within thirty days; Payment Chek, which screens payments and disbursements with real time proprietary risk scoring before funds are released; Verify Account, which confirms account ownership and status for funding, transfers and disbursements; Expand Credit Insights, which adds deposit account context to lending decisions for applicants with no traditional credit history; and Asset Search and Verification, which supports government eligibility determinations. All of it runs over the National Shared Database, a consortium resource contributed to by participating institutions under a give to get model, for which the company holds the role it calls Trusted Custodian. In 2025 the portfolio screened more than 11.4 trillion dollars in payment and deposit transactions, supported 124 million new account applications and reports preventing more than 3 billion dollars in potential fraud loss. Early Warning is separately a nationwide specialty consumer reporting agency under the Fair Credit Reporting Act, listed on the federal consumer bureau register of consumer reporting companies, which is the source of its unusual privacy, regulatory and recourse posture. In May 2026 it partnered with an indexed identity decisioning platform to distribute the Certos suite into community banks and credit unions.

GBG is a listed identity verification, location intelligence and fraud prevention group headquartered in Chester, founded in 1989, with revenue of roughly 283 million pounds and about 1,100 staff. Its platform, GBG Go, delivers identity and address verification, document and biometric checks, customer due diligence, business verification and risk analysis through a single interface, with access to multiple credit bureaux through one integration. The inference layer runs across several products. Transaction monitoring applies machine learning to transaction events and behavioural patterns alongside expert fraud rules, with published performance of up to 34 percent more fraud detected and up to 51 percent fewer false positive alerts. Application fraud detection claims up to 30 percent more online fraud identified. The document product defends against synthetic media by analysing lip movement and mouth shapes in video for synchronisation discrepancies and failing the check when they appear. Underneath sits a consortium identity network spanning several hundred organisations across more than twenty sectors and eighty countries, applying pattern matching, data mining and machine learning to return an identity trust score in seconds, which the company states it does without ever divulging protected data. A regional early warning product in Australia draws on forty million verifications a year from more than eight hundred businesses to detect identity theft and money muling. A separate agent portfolio launched in 2026 exposes verification to autonomous software: one product is generally available through a command line binary, a hosted protocol server, an agent skill and a web interface, and a second, in beta, grounds agents so that every identity, compliance or fraud decision executes as a real platform journey with a retrievable run identifier rather than as a model guess.

OneSpan is a Chicago based, publicly listed security vendor built on the authentication business formerly known as Vasco, serving more than 10,000 customers including over half of the hundred largest global banks. The portfolio spans hardware and software authenticators, mobile application shielding, a mobile security developer toolkit, identity verification, electronic signature and digital agreement workflows. The inference layer is a named and separately purchasable product line. Risk Analytics scores transactions in real time using machine learning and data modelling over device integrity, application signals, user behaviour, malware indicators, transaction detail, beneficiary payment history and server side analytics, then drives workflows that act immediately according to policies and rules the bank defines, with automated alerts routed into a single case management interface for analyst review. Intelligent Adaptive Authentication couples that risk engine to multi factor authentication so that higher risk activity automatically triggers a stronger challenge rather than a uniform one, shipped with preconfigured rule sets and predictive models tuned separately for mobile, online and corporate banking. The company positions both against named regulatory regimes, including European strong customer authentication rules and a central bank mandate in the United Arab Emirates, and publishes a customer engagement modernising authentication for an Italian bank under the revised European payments directive.

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, fraud detection, sanctions screening, high risk customer management, investigation and regulatory reporting, and its detection layer is built on a cross institutional consortium data network spanning roughly 2,800 financial institutions, which is presented as the source of its typology awareness rather than as a background asset. Since late 2025 the company has shipped an agentic workforce designed to mirror the roles inside a bank or credit union's anti financial crime team. A second phase adds an agentic anti money laundering analyst, opening on cash structuring alerts where deposits are deliberately broken up below reporting thresholds, and an agentic fraud analyst, both automating alert triage in the manner of an experienced human investigator, plus alert auto dispositioning and consortium insights delivered inside the workflows. More than 650 institutions had adopted the agentic products by mid 2026. A platform agnostic deployment model extends the same workers across third party systems, where the agent signs into the other vendor's product, navigates its alert queue and dispositions alerts as a person would, while retaining access to the consortium network behind it. Institutions can configure the level of automation and of human review separately for each workflow according to their own risk appetite.

Milliman is a global actuarial and consulting firm that also ships a portfolio of named, separately licensed analytics products to insurers, and is judged here on those products rather than on the consulting practice. Milliman IntelliScript serves life and health carriers with data driven risk assessment: Irix medical and prescription histories, the Curv suite of predictive models for identifying unknown risk in groups, and underwriting insight drawn from pharmacy and medical claims records. Milliman Nodal applies machine learning and natural language processing to structured and unstructured claim data, including adjuster notes, medical notes and police reports, to triage property and casualty claims, predict litigation likelihood, flag excessive medical cost and benchmark spend across workers compensation, auto liability and general liability. Nodal is delivered as a fully managed service with models tailored to each client's own claim and text data on top of a shared reference database, and companies deploying it report average cost savings between five and fifteen percent. Other products include AccuRate Fleet, a usage based score for pricing fleet exposure and driving behaviour, Datalytics Defense for detecting patterns in attorney billing, an explainable platform for detecting and quantifying fraud, waste and abuse, Market Baskets for property and flood pricing, and the actuarial platforms Arius, Integrate and the Economic Scenario Generator. IntelliScript operates as a consumer reporting agency under the United States Fair Credit Reporting Act and appears on the Consumer Financial Protection Bureau list of consumer reporting companies, so an individual can obtain their own report free of charge and dispute its contents directly. Nodal was named the 2025 InsuranceERM Americas award winner in its category, chosen by an independent panel of industry experts.

CRIF is an Italian credit information and decisioning group founded in Bologna in 1988, operating credit bureaus, business information services, analytics, outsourcing and processing across roughly forty countries on four continents with more than six thousand six hundred professionals. It reports supporting over five thousand banks, financial institutions and leasing companies in end to end credit management, alongside tens of thousands of non financial businesses, and it also serves insurers, telecom and media operators and energy and utility companies. Its regulatory position is unusual for a technology supplier and rests on two distinct authorisations: CRIF Ratings is a credit rating agency registered with the European Securities and Markets Authority and recognised as an External Credit Assessment Institution, issuing ratings on non financial companies based in the European Union, and the group is an authorised Account Information Service Provider in every European country where the second payment services directive applies. Several central banks and public authorities use its technology to run national credit reporting infrastructure, and it has built bureaus in markets as varied as continental Europe and the Caribbean. The software line comprises a lending journey platform covering digital onboarding, identity and business verification, open banking data and creditworthiness assessment, and an end to end credit management platform that calculates scoring and rating models, drives portfolio strategies such as pre approved offers, and runs early warning processes on traditional bureau and current account data together with categorised open banking data. Machine learning and generative capability appears as automated checks that verify each transaction against internal credit policy and regulatory requirements, a credit agent that surfaces real time insights and recommendations for credit managers, and algorithmic creditworthiness scoring inside the origination flow.

Abrigo is a United States banking software and advisory firm serving more than two thousand four hundred community and regional banks and credit unions, formed from the combination of Banker's Toolbox, Sageworks and MST and headquartered in Austin, Texas. The portfolio spans three product lines and a consulting practice. Lending and credit risk covers commercial, consumer, small business, construction, community and equipment leasing origination alongside credit risk analysis. Financial crime covers anti money laundering transaction monitoring, case management, regulatory reporting, sanctions, watchlist and politically exposed person screening, and check fraud detection using image analysis and consortium data. Portfolio risk covers allowance and current expected credit loss calculation, asset and liability management, income recognition, investment accounting, loan review and stress testing. AI is layered across that estate rather than sitting underneath it, presented as a modular portfolio of agents, assistants and AI enabled features: an internal knowledge search agent, an agentic lending product, assistants for anti money laundering investigation triage, credit narrative generation and loan review, machine learning inside fraud detection and screening, and generated allowance narratives intended for examiner communication. Outputs are consistently editable and the institution retains approval of the final document. The company also sells AI adoption and governance advisory to the same institutions, and maintains a public AI hub covering its product portfolio, its stated approach and a glossary for bankers. Reported outcomes include a pilot in which fraud detection identified ninety three percent of one bank's total fraudulent check value, roughly three hundred and thirty thousand dollars of avoided loss, alongside claimed reductions of up to eighty percent in investigation time, about thirty percent in loan review cycles and up to fifty percent in alert volume. Security is documented through service organisation control reports of both the first and the second type, each at type two, with a dedicated data platform security page.

Provenir sells a decision intelligence platform to banks, credit unions, fintechs, payment providers, telecom operators and consumer lenders, consolidating data orchestration, machine learning models, analytics, agentic decisioning and case management into a single governed environment. It is used across credit risk onboarding, customer management, collections and application fraud, and the company reports more than one hundred and twenty financial services customers across over sixty countries processing upwards of four billion decisions a year. Headquarters are in Parsippany, New Jersey, with legal entities in London, Singapore, the Dubai International Financial Centre, Sao Paulo and Mexico City. The platform is presented in three layers: customer intelligence, meaning models built from the individual customer's own historical data and outcomes rather than generic market models; agentic decisioning, meaning intelligent agents executing real time decisions inside guardrails the customer defines; and an optimisation cycle in which strategy changes are validated against real production data before going live. Supporting capabilities include a data marketplace of prebuilt identity, fraud and credit data integrations, real time graph machine learning for fraud and relationship profiling at a stated sub two hundred millisecond decision speed, model monitoring dashboards, extended explainability covering Python and other model types, and a generative assistant for reporting and analytics. Named customers include BBVA, GM Financial, Resurs Bank, NewDay, Novuna, Meridian, tbi bank, Bigbank, Telia, MTN Group, Jeitto, SoFi and Dun and Bradstreet. Independent analyst recognition covers a Forrester strong performer placement in AI decisioning platforms, a Chartis category leader position in retail credit solutions, an IDC MarketScape major player position in decision intelligence platforms and a Datos innovation citation in fraud orchestration.

Identomat is a Georgian American identity verification and compliance platform sold to banks, insurers, electronic money institutions, payment providers, telecom operators, gaming operators and government agencies, covering onboarding know your customer checks, operator led video verification, anti money laundering screening, business verification, age verification and transaction monitoring from a single modular platform. It was founded in 2019 by chief executive David Lomiashvili, chief operating officer Zurab Kotaria and chief technology officer Rezo Imnadze, is incorporated in the United States with headquarters in Champaign, Illinois and its engineering base in Tbilisi, and raised the largest seed round in the history of Georgian founded startups at three point two million dollars in January 2022, with total funding reported at four point two million across two rounds and a team of roughly thirty. The verification engine combines document capture and optical character recognition across more than eight thousand eight hundred government issued document types, near field communication chip reading, active, passive and cascading liveness detection tested to level two of the iBeta presentation attack detection programme against the relevant international standard, one to one and one to many face matching, proof of address extraction and risk scoring. Results route automatically to approval, rejection or a manual review queue according to customer set face similarity thresholds, and a separate operator led video product provides a virtual branch office for cases that require a supervised interview. More than one hundred enterprises and government bodies are reported as customers, named ones including Bank of Georgia, TBC Bank, ProCredit Bank, Credit Agricole, Liberty, the digital bank Space, the insurer Aldagi, the Ukrainian payment institution NovaPay, the Lithuanian electronic money institution Paysera and two Georgian government ministries. Pricing is published per verification across two priced tiers with stated monthly minimums, included volumes and a full feature comparison grid, and deployment spans public, private and hybrid cloud, hosted and on premises, with data residency selected across multiple cloud regions.

Authologic is a Warsaw headquartered identity infrastructure company founded in 2020 by chief executive Krzysztof Klimczak with Jaroslaw Sygitowicz and chief technology officer Marek Rogozinski, operating through three entities in Poland, the United Kingdom and the United States. It went through Y Combinator in 2021 and raised an 8.2 million dollar Series A in October 2024 led by OpenOcean, with Y Combinator, Peak Capital and SMOK VC participating. Its platform, OmniID, resolves identity through a single API that automatically selects the best available method, spanning government issued electronic identity schemes, national and private identity wallets including Apple, Google, Samsung and the European Digital Identity Wallet, bank identity systems, open banking data, and conventional document scanning, liveness detection and face matching as fallbacks. Twenty four national and bank schemes are named individually, including mObywatel, Diia, DigiD, itsme, SPID, DNIe, FranceConnect+, Personalausweis, MitID, Freja eID and ID-kaart. Its central argument is that generative models have broken photograph based document checking, so a cryptographically issued credential that is verified rather than judged is both stronger and more private, disclosing only the attribute required. Zero knowledge proofs verify age and personhood without exposing underlying data, retention rules are set by the customer with the company purging what is no longer needed, and behavioural analysis and fraud scoring sit alongside the routing. The company publishes ISO 27001, ISO 9001, ISO 22301 and PCI DSS certifications and a PSD2 Account Information Service authorisation, and operates as a trust service provider issuing non qualified electronic attestations of attributes under eIDAS 2.0, with a published trust service policy and status list. Named clients include mElements, the mBank Group ecommerce arm behind Paynow, alongside Intrum, WEALTHON, FONIA Telecom, LV Bet, Santander Leasing and eToro, and the company contributed to Poland's national mObywatel digital identity application, which passed eleven million users. Delivery is through an SDK, a no code link and an API, with self service signup and a free wallet testing environment.

Bits Technology, trading as Bits and registered in Sweden as Finbits AB, is a Stockholm compliance infrastructure platform founded in 2022 by former operators from Klarna, Amazon Web Services and Tink, led by co founder and chief executive Jonatan Klintberg. It sells a single integration that replaces a stack of local point solutions, covering know your customer and know your business onboarding, anti money laundering risk scoring, ongoing due diligence, transaction monitoring and case management across more than 100 jurisdictions. Through that one connection customers reach European company registries, beneficial ownership data, politically exposed person and sanctions lists, fraud signals and electronic identity providers, with Veriff named among the verification partners orchestrated behind it. A no code workflow builder configures the process and the platform is delivered API first with public developer documentation and a changelog. A separate product, Bits AI, adds an agent that summarises raw case data and drafts an actionable decision which a human agent then verifies or edits, plus a co pilot that answers questions across large volumes of case data. The company states it is deliberate about where the AI sits, describing its role as sorting, summarising and surfacing rather than deciding. It raised 4 million euros in 2023 led by Unusual Ventures with Fin Capital, Cherry Ventures, Alliance Ventures, Forward VC and Greens Ventures, then 12 million euros in a Series A in February 2026 led by Alstin Capital with Cherry, Unusual and Alliance participating. Around twenty two customers are named publicly, including the Nasdaq Helsinki listed and Finnish regulator licensed Alisa Bank, the payments firms Qliro, Walley, Brite Payments, CleverCards, Ledyer and Cardlay, the crypto platform Coinmotion, the investment platforms Fondo, Tioex and Always Summer Asset Management, and lending, legal and software businesses across the Nordics. Reported results include manual case handling reduced by 50 to 70 percent, onboarding four to six times faster, and a stated 3.8 times return over five years.

IDMERIT is a United States identity verification and compliance provider selling know your customer, know your business and anti money laundering checks through a modular set of APIs. Eleven named services make up the platform: IDMkyc for identity matching, IDMkyb for business verification, IDMaml for sanctions, politically exposed person and watchlist screening, IDMscan for identity document scanning, IDMlive for liveness and deepfake detection, IDMdevice, IDMtrust, IDMsocial, IDMautofill, IDMconnect and the IDMkyx umbrella. Ten industries are addressed by name including banking and finance, fintech, cryptocurrency, insurance, healthcare, online gaming, telecommunications, retail, age restricted commerce and border security. The company positions data coverage rather than modelling as its differentiator, stating on its own product pages that coverage is what makes its service stand out and that its data sets it apart, drawing on relationships with official sources across more than 90 countries and citing wider figures of 190 to 195 nations and 450 data points elsewhere. Source categories include credit files, government data, electoral rolls, insurance data, mobile records, utilities data, social network files and ecommerce information, and IDMconnect claims direct access to more than 2,300 utility providers across 40 plus countries. The described mechanism is a match rate: identity information submitted to the API triggers a query against licensed sources and the customer receives a match result rather than the underlying records, which the company says protects both the personal data in those records and the integrity of its source relationships. The service is marketed as fully automated with no human interaction in the verification path.

ComplyCube is a London identity verification, know your customer, know your business and anti money laundering platform led by chief executive Dr Tarek Nechma, with Harry Varatharasan as chief product officer. It sells identity assurance, screening and due diligence through one platform reaching more than 220 countries and territories, supporting over 10,000 document types, drawing on more than 3,000 data sources and processing a reported ten million transactions weekly. The identity assurance side covers document authentication, biometric verification with liveness detection, facial age estimation, address verification, electronic identity verification and multi bureau checks against government and credit bureau records. The screening side covers sanctions and politically exposed person screening, adverse media, watchlist checks and continuous monitoring. Around them sit a workflow builder, case management, risk scoring, smart forms and a policy assurance module, delivered through a documented API, web and mobile software development kits, a hosted verification page and a no code portal. Named industries include financial services, fintech, payments, crypto, telecoms, accounting and mobility. Its distinguishing feature is the depth of independent certification: ISO/IEC 27001:2022 for information security, ISO 9001:2015 for quality management, UK Cyber Essentials, certification as a UK Identity Service Provider under the government's Digital Identity and Attributes Trust Framework across all Levels of Confidence with 23 certified profiles covering statutory Right to Work, Right to Rent and Disclosure and Barring Service checks, ISO/IEC 30107-3 Presentation Attack Detection Level 2 testing of its face matching and liveness system, and Age Check Certification Scheme certifications to ACCS 4:2020 for age check systems and ACCS 2:2021 for data protection and privacy with zero non conformities, the latter scheme approved by the UK Information Commissioner's Office under the UK GDPR. It is also registered with the Financial Services Qualification System and runs a standing trust centre, a public status page and a self service free trial.

Detected is a London business verification and onboarding platform founded in July 2020 by Liam Chennells and Nathan Kelleher, positioning itself as a trust platform answering whether a business or individual can be trusted, across onboarding, screening, monitoring and decisioning. It has raised roughly 10.1 million dollars across seven rounds from investors including EmergeVest, Love Ventures and Thomson Reuters Ventures. The platform is built around three areas: case management holding risk profiling, forms, documents and screenings, an orchestration engine that routes, validates and sequences the outputs of third party providers, and a no code workflow builder that lets compliance teams change onboarding journeys by customer type, product, jurisdiction or risk tier. It integrates directly with more than 190 company registries, maps beneficial ownership to natural person level through multi layer structures, verifies business domains against WHOIS records, screens entities and associated parties against sanctions, politically exposed person and law enforcement databases, and onboards not only companies but charities, trusts, funds, partnerships, sole traders, syndicates, clubs and associations. Individual verification covers more than 16,000 document templates with passive liveness and biometric matching. Eleven named providers run natively inside the platform, among them ComplyAdvantage, Dun and Bradstreet, LSEG, Moody's, Trulioo, GBG, OpenCorporates, Kyckr, AsiaVerify, Resistant AI and Anthropic. Named customers include Zelis, DailyPay, Gumtree and Purolator, with Visa and GBG as partners, GBG jointly marketing a co branded product called GBG Detected. Its published AI position is unusually specific: every AI feature is opt in, the AI is stated to act in an advisory role surfacing insights rather than verdicts with human sign off enforced at every point, reasoning is presented as explainable so analysts can challenge it, and six named controls cover guardrails, prompt injection protection, hallucination controls, continuous monitoring with anomaly detection and quality scoring, consumption management and full audit logging of what was asked, what was returned and who acted. It also runs a Model Context Protocol server letting customers connect their own agents to its data.

Dotfile is a Paris business verification platform founded in 2021 by Vasco Alexandre and Titouan Benoit inside the startup studio Hexa, formerly eFounders, with a second office in San Francisco and a presence in London opened in 2024. It sells an end to end know your business platform that assembles a picture of a company from dozens of data sources in around ten seconds, drawing on more than 400 million global business records. The platform is organised in two halves. A customer lifecycle layer covers data orchestration, a configurable risk engine, an integration studio, case management and a white label client portal. A data intelligence layer covers business data and beneficial ownership discovery, anti money laundering and sanctions screening, online reputation scoring, identity verification, and a product called Dotfile Autonomy. Solutions are packaged for business onboarding, individual onboarding, perpetual monitoring, back book remediation and fraud detection. It states that automated document verification and corporate structure analysis cut manual review time by roughly 80 percent, and it sells specialised risk scoring for cryptocurrency businesses alongside readiness features for the European MiCA regime. More than 50 customers across ten countries include banks, private equity firms and fintechs, among them Spendesk, Younited Credit, Flowdesk, Keyrock and Roundtable. It raised 2.5 million euros in a seed round backed by V13 Invest, the corporate venture arm of the French lottery operator, alongside Serena, Kima Ventures, Pareto Holdings and Super Capital, then 6 million euros led by Seaya Ventures in September 2024. It names its data supply chain openly, taking registry coverage from Kyckr and electronic identity verification across more than 45 countries from GBG, and runs a trust centre on its own subdomain.

Oz Forensics builds facial biometric liveness detection and face matching software sold to banks, fintechs, identity verification vendors, telecommunications operators, gaming operators and government agencies across more than twenty countries. Headquartered in Dubai and founded in 2017 by chief executive Artem Gerasimov, it was acquired in September 2024 by Unico, a Brazilian digital identity company, and continues to ship under its own name with its own products. The two core products are Oz Liveness, which establishes that a real living person is present and defends against presentation attacks, injection attacks, deepfakes and three dimensional masks, and Oz Biometry, which matches two faces to confirm they belong to the same person. An optical character recognition capability for identity documents sits alongside them. Liveness can run actively or passively, on the device or on a server, in two or three dimensions, and across a single frame or multiple frames of video. The company sells both as a hosted service and as an on premises licence, so an institution can keep biometric processing entirely inside its own environment. External validation is unusually deep for the category, spanning presentation attack detection testing at levels one and two by one accredited laboratory, separate presentation and injection attack assessments by a second, a level three presentation attack evaluation, and benchmarking of the face matching model in the United States national face recognition evaluation programme. In March 2026 the company launched a public trust centre carrying its certifications, security and privacy documentation, client information and a list of its subprocessors. Named deployments include Eurasian Bank, which reported onboarding one million clients using the biometrics, and Sberbank Kazakhstan.

Ondato provides a single compliance platform, marketed as an operating system for know your customer work, covering identity verification, business onboarding, anti money laundering screening, transaction monitoring, risk scoring, case management and age verification. It was founded in Vilnius in 2016 by Liudas Kanapienis, who remains chief executive, and Andrej Vistorskij, moved its headquarters to London while retaining research and development in Vilnius, and operates from the United Kingdom, Lithuania and Poland with more than three hundred clients. Funding came through a pre seed round from an accelerator fund followed by seed and seed extension rounds led by OTB Ventures with LitCapital, totalling roughly six and a half million euros. Verification methods span document capture with an optical character recognition engine, biometric face matching, liveness detection, chip reading from electronic documents and matching against a database of individuals previously flagged for fraud. A separate product provides live video interaction between an agent and a customer for regulated onboarding where a face to face check is required, which distinguishes it from vendors offering only an application programming interface. Buyers span digital banks, crowdfunding platforms, lenders, gaming operators, e-commerce and legal services, concentrated in the European Union. Prices are published per verification and by product on a public pricing page. Certification confirmed by the company itself covers information security management and presentation attack detection testing at both levels, alongside European electronic identification conformity certificates and stated adherence to the related technical standards.

iDenfy is a Lithuanian regulatory technology company providing identity verification, business verification, anti money laundering screening and fraud prevention through a single platform and interface, sold to electronic money institutions, banks, fintechs, cryptocurrency exchanges, gaming operators and marketplaces. Founded in 2017 and led by chief executive Domantas Ciulde, it reports more than one thousand business customers, coverage of over two hundred countries and territories, support for more than sixteen thousand document types, and connections to over one hundred and eighty business registries across one hundred and twenty countries. The architecture pairs patented three dimensional liveness detection and passive biometric verification with a twenty four hour in house review team that adjudicates flagged registrations, separating genuine submissions degraded by poor lighting or framing from real fraud attempts. Named users include the Bank of Lithuania, Mano Bank, GOAT Finance, PaySet, HollaEx, Coinmerce, Juni, Kevin, Betsafe, VFS Global and Hetzner. Commercial terms are unusually open for the category: rates are published per verification with volume bands, and customers are billed only for approved verifications rather than for every attempt. Certification is documented to certificate number level, covering information security management certification issued by a named accredited body, a service organisation control type two report over a full twelve month examination period, and a European electronic identification conformity declaration for remote authentication assessed against the relevant regulation and technical standards.

AU10TIX provides automated identity document authentication, biometric verification, liveness and fraud intelligence to banks, payment providers, trading and cryptocurrency platforms, marketplaces and other high volume digital businesses. The company grew out of border control and aviation security document authentication and is a subsidiary of ICTS International, a Dutch security group whose shares trade over the counter. Its product line covers an identity verification suite, liveness and deepfake detection, non identity document verification, combined know your business, know your customer and anti money laundering checks, reusable credentials as a premier issuer for Microsoft Entra Verified ID, and Serial Fraud Monitor. Serial Fraud Monitor is a fraud intelligence consortium of more than sixty participating companies that links repeated identity elements, document conflicts and coordinated attack patterns across separate organisations, sectors and geographies rather than within a single customer's own traffic. The company reports verification results in under eight seconds and estimates that its technology has helped prevent roughly twenty billion dollars of fraud losses since 2021, broken out by sector as approximately thirteen billion in payments, two point seven billion in cryptocurrency and trading, over one billion in banking and seven hundred and seventy six million in the shared economy. Named customers span PayPal, Google, Microsoft, Airbnb, Uber, Fiverr, 888 Holdings, Aspire Global and ShopBack. It holds an unusually broad certification set including information security and privacy management certification, service organisation control type two, a United States state government cloud authorisation, accredited presentation attack detection testing, and third party conformity certification against the United States federal identity assurance standard at level two.

Microblink builds computer vision and biometric models for identity document capture, authentication and verification, sold to banks, lenders, fintechs and payment providers as software development kits and as a hosted platform. Its product line covers BlinkID for document capture and data extraction, BlinkID Verify for automated document authentication, BlinkCard for payment card capture, and the Microblink Platform, which adds biometric matching, liveness, watchlist screening and a configurable Decision Command Center for know your customer and anti money laundering workflows. The company reports more than twelve billion documents processed, support for over two thousand five hundred document types from more than one hundred and fifty countries, and more than four hundred and fifty customers. Capture runs on the device through eighteen client side machine learning models, which removes network dependency from the capture step. Named financial services deployments include First Abu Dhabi Bank for identity scanning during know your customer verification and Banco Azteca for account opening and loan applications across multiple mobile applications, alongside an automotive lending platform in Mexico reporting a ninety eight percent verification success rate. In a March 2026 evaluation run by the United States Department of Homeland Security Science and Technology Directorate at the Maryland Test Facility, Microblink was the only one of seven tested document validation systems to meet high performing benchmarks on every measured accuracy metric. The company was founded in Croatia and is headquartered in New York, with research and development in Zagreb.

Jumio is a long established identity verification and screening platform sold to banks, financial technology firms, lenders and payments companies alongside a wide set of other regulated industries. The product line covers document verification using computer vision to detect tampering, forgery and digital manipulation, face matching between a document photograph and a live selfie, certified liveness detection against spoofing and deepfake attempts, biometric authentication for high risk transactions such as wire transfers, and screening against sanctions lists, politically exposed person lists and adverse media both at onboarding and continuously through the customer relationship. Founded in 2010 and headquartered in California with offices in Vienna, London, Singapore, New York and Montreal, the company states it has processed more than one billion identity verifications. It has moved substantially into government issued digital credentials, accepting digital identity documents across more than sixty countries and territories, managing European electronic identity accreditation on its customers' behalf across close to twenty countries, and supporting Brazil's digital driving licence through both code validation and biometric matching against government records. It publishes an annual global consumer identity study, now in its fifth year.

Singapore company founded 2019 by Hayk Hakobyan selling alternative credit scoring and financial intelligence to banks, fintechs, e-commerce companies and telecoms across Southeast Asia and beyond, aimed at the unbanked and underbanked. Products include a Financial Health Profile for individuals and a Financial Business Health Profile for micro and small enterprises, alongside fraud detection, eKYC and a product recommendation engine. Risk profiles are built from financials, health, lifestyle and social footprints, and its own account of the method includes personality based and voice based risk assessment to determine loan suitability. HSBC's venture arm is an investor.

Dossiers sells an anti money laundering and compliance platform to banks, fintechs and other regulated firms, bringing onboarding, screening and ongoing monitoring into one system and running purpose built agents alongside the compliance team to handle screening triage, evidence gathering, alert review and profile monitoring. Its stated design principle is that every agent action is logged, explainable and auditable, and its stated diagnosis of the problem is that static rules catch a fraction of laundering that moves through layered networks of shell companies, trade schemes and intermediaries across jurisdictions, while periodic reviews miss behavioural shifts in real time. The company began in Sri Lanka and now operates from Singapore, and its distinguishing asset is risk data for South Asia, where coverage has historically been thin, built by a team whose background is in data journalism and fact checking and connected to international investigative reporting networks. It positions the platform against Central Bank and financial intelligence unit obligations in the markets it serves, in a region where grey listing by the international standard setter has had national consequences.

IDVerse sells automated identity verification and document authentication to banks, fintechs, insurers and other regulated buyers, covering identity document verification, biometric face matching, liveness detection, deepfake and injection attack defence, video KYC, age verification and biometric step up authentication for account takeover prevention. Founded in 2014 as OCR Labs and rebranded in 2023, it was acquired by LexisNexis Risk Solutions and now sells as LexisNexis IDVerse within that company's ID Compass identity platform, with a separately packaged insurance edition released in January 2026 for quoting, claims, high risk transactions, customer service and account management. Its models are trained on synthetic identity data generated by its own generative systems, an approach it markets as Zero Bias AI and positions as a defence against generative fraud, and it reports coverage of government issued documents from more than 220 countries and territories across over 140 languages and typesets. Verification is fully automated, returning a yes or no answer in seconds, with a portal giving fraud and onboarding teams access to results.

Incandor builds behavioural intelligence infrastructure for banks, fintechs, neobanks and digital banks, on the argument that institutions verify identity at account creation but have no continuous signal for who is actually operating an account afterwards, while identity itself has become a commodity attackers buy in bulk. It constructs a behavioural map of every user from physical interaction signals including mouse dynamics, keystroke timing, scroll patterns and how a phone is held, requiring no fraud labels or historical data, so detection works from the first session. Each individual forms a unique cluster regardless of which account they use, which surfaces account takeovers, mule handoffs, shared operators and coordinated rings, and supports bot detection and identification of sessions under stress or coercion. Rather than returning a risk score, it exposes the map as a programmable interface so a fraud team combines behavioural signals with its own transaction and customer data. It collects only behavioural signals, not what users type, read or view.

Transparently.AI detects accounting manipulation and fraud across more than 85,000 listed companies worldwide, serving portfolio managers, risk professionals, auditors, banks, exchanges and sovereign investors. Its risk engine replicates the analytical behaviour of forensic accountants, activist short sellers, credit analysts, equity analysts, auditors and academics across roughly 200 proprietary financial models, grouped into 14 clusters of accounting risk signals, producing a letter rating and a 0 to 100 score representing the joint probability that a company is manipulating its numbers and the likelihood of consequent collapse. It reports predicting over 90 percent of corporate collapses up to three years in advance and generates full forensic reports with red flag explanations and suggested next steps in seconds. A generative assistant lets users interrogate any company's financial statements conversationally and returns charts and comparisons alongside the specific question to put to management. Interface access embeds the analytics into existing risk tools.

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 categorisation 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.

Prism Layer encodes an organisation's risk frameworks, regulatory context and institutional knowledge into what it calls a governed agentic execution layer, aimed at financial services, payments and fintech firms. Its distinguishing claim is that rather than storing risk records after decisions are made, it executes the structured reasoning behind risk analysis as those decisions happen, producing auditable and defensible output at business speed. Supported work covers risk assessments, key risk indicators, controls testing, risk and control self-assessments and product risk review. The company emerged from stealth in April 2026 with a pre-seed round led by a venture firm focused on financial services and regulatory technology whose partners include former senior leaders of the US consumer financial regulator. Its three co-founders were all risk executives at the same payments company, with prior enterprise risk leadership across money transfer, brokerage, card network and consumer lending businesses, and direct experience with Irish, Australian and UK regulators.

Scienaptic AI provides credit decisioning to US credit unions, banks and lenders, building scorecards on each client's own loan book augmented by more than 3,000 signals across bureau, banking and alternative data, and reporting twelve times more risk differentiation than bureau scores alone. It reports approving up to 40 percent more members, raising approval rates for protected classes by more than 45 percent, and assessing over 90 percent of individuals without traditional credit histories, with 60 to 80 percent of decisions automated and fair lending monitoring built into the platform. Synthetic identity, bot attack, bust-out, credit washing and first-party fraud are flagged inside the same decisioning call before underwriting sees the application. Its current product adds language models and agentic capability, framed as putting humans back at the centre of lending, and it integrates natively into a major core banking provider's loan origination system.

Zest AI has built machine learning credit underwriting for US lenders since 2009, serving institutions from the largest banks and auto and specialty lenders down to credit unions processing as few as a hundred applications a year. Its distinguishing capability is fairness engineering rather than accuracy alone: its technology searches for less discriminatory alternatives, the legal standard under US fair lending law, and applies adversarial debiasing to reduce disparity identified during model fair lending testing. A model management system lets credit teams build, validate, deploy and monitor their own underwriting models, so the lender owns and controls the model rather than outsourcing decisions to a marketplace. Alongside underwriting it offers application fraud detection and generative insights drawn from industry and macroeconomic data. With a credit union partner it created a cooperative service organisation so small institutions can access the same technology.

FluxForce sells named AI agents to banks, fintechs and insurers for regulatory compliance, anti money laundering monitoring, customer onboarding and fraud detection, with around twenty prebuilt agents built on zero trust principles. Its compliance agent maps transactions and decisions to more than sixteen regulatory frameworks including anti money laundering rules, European operational resilience and AI legislation, data protection and card security standards, and it reports cutting compliance costs by 75 percent and reducing audit preparation from weeks to minutes. Agentic onboarding handles know your customer and anti money laundering workflows end to end, cutting manual effort by up to 90 percent. Fraud detection is published at 89 percent accuracy with 0.1 percent false positives. Controls are mapped to specific legal articles, including decision audit trails for logging obligations and configurable kill switches built around the human oversight requirement.

Optasia is a listed AI credit decisioning platform embedded inside mobile operator and wallet ecosystems across 38 countries in Africa, the Middle East and South Asia, working through 49 distribution partners and 13 banks. More than 200 machine learning models draw on thousands of alternative signals per user to make around 1.5 billion credit decisions a month at roughly 300 per second, supporting micro loans averaging about five dollars and airtime advances that traditional banks cannot profitably process. It does not lend from its own balance sheet: partner banks provide liquidity while Optasia underwrites the default risk and provides guarantees, letting distributors earn lending revenue without balance sheet exposure. Built specifically for markets, it facilitated around six billion dollars of credit in a year, serves over 430 million annual active users, and listed on the Johannesburg exchange in November 2025.

Finvero runs a multi-lender credit marketplace in Mexico and Colombia connecting lenders, merchants and consumers, supplying the credit infrastructure and pre-qualified applicants rather than lending itself. Its four modules cover origination, a risk and fraud engine, collections and portfolio administration, across both consumer and business segments and product types including instalment, revolving and buy now pay later, with in-store origination. Alternative credit scoring built on generative AI and alternative data supports decisions in under five minutes, and the company reports lenders improving decision accuracy by 10 to 15 percent. Lenders build their own traditional, AI and predictive scoring models and set their own fraud criteria on the platform. Its collections model publishes its full feature set, and it partners with a card network's inclusive growth programme supporting micro-entrepreneurs.

TrustDecision is the international arm of a major Chinese risk technology group, headquartered in Singapore with offices across Southeast Asia, running a unified decision engine across fraud prevention, credit risk and compliance for banks, digital banks, consumer lenders and payment platforms. It covers the whole customer lifecycle from onboarding and identity verification through real time transaction monitoring, promotion abuse detection and credit assessment to in-repayment monitoring, returning scores and decisions within twenty milliseconds. Graph models identify fraud rings, mule networks and collusion across users, devices and transactions, and detect credential stuffing, account farming, loan stacking, deepfakes and synthetic identities. Its architecture runs privacy preserving federated learning so institutions share collective intelligence without moving data across residency boundaries, and no-code tools let risk teams deploy rules, simulate decisions and compare outcomes with an explainable reason attached to every action.

Curacel is insurance infrastructure for African and emerging markets, automating claims processing and detecting fraud, waste and abuse for insurers, healthcare providers and third party administrators. Its models vet claims automatically so staff handle only quality control, and customers report cutting fraudulent, wasteful and abusive payouts by around 25 percent while shortening claims cycles by more than 70 percent and processing up to ten times more claims. Beyond serving insurers directly it links them to primary care hospitals, travel agencies, automobile companies and security firms, and its embedded product lets technology companies offer insurance inside their own services without becoming insurers. Named customers include three of the largest insurers operating on the continent. Backers include Y Combinator, Google and Tencent.

Nufi verifies people and businesses for more than 530 Mexican banks, fintechs, insurers, marketplaces and government agencies, processing around 1.2 to 1.3 million checks a month and aiming to become Latin America's first alternative identity bureau. Its distinguishing asset is direct integration with four official government registries covering population records, the national electoral identity document, the tax authority and the social security institute, combined within one automated flow alongside more than 130 real-time sources, biometrics, document reading, judicial background and watchlist checks, and employment stability indicators. Its business verification product extracts data from incorporation documents, validates legal representatives biometrically, analyses shareholders and produces an evidence file with full traceability for audit. The company reports profitability since 2023 and holds a service organisation control report.

AIZEN Global runs two connected businesses from Seoul. ABACUS is an automated machine learning platform built for finance, used by large banks, card issuers and insurers to build, monitor and update thousands of predictive models in parallel through one interface, covering underwriting, fraud detection, anti money laundering, auditing and claims, and exposed through interfaces that leave existing systems unchanged. CreditConnect applies it to lending, converting non financial data from e-commerce, mobility, e-wallet, education and healthcare platforms into credit decisions so those platforms can offer financing while banks remain the lender. The company was the first designated by Korea's Financial Services Commission to underwrite loans on behalf of banks using AI-driven credit decisions, and signed 117 affiliated companies within eight months of launching in Vietnam.

Refine Intelligence inverts the usual anti money laundering approach by clearing legitimate customers rather than hunting suspicious ones, a method it calls greenflagging. Its models are trained on a proprietary dataset of genuine customer activity built from millions of financial records, and map each transaction alert to the ordinary life events most likely to explain it, ranked by probability, covering things like selling a house, paying a contractor or buying a used car. Alongside that, automated digital inquiries ask the customer directly about source of funds and the nature of the activity, letting many alerts be resolved by the customer themselves and giving investigators a real time explanation with an audit trail. Questions are deliberately structured and consistent to avoid both investigator bias and tipping off risk. The company reports that 64 percent of all alerts at its banking partners trace to just five everyday scenarios.

Trusting Social scores consumers with little or no formal credit history for more than 130 financial institutions across Vietnam, Indonesia, India and the Philippines, using proprietary machine learning over alternative social, web and mobile data. It reports having scored over a billion consumers, counts more than 40 institutional clients in Vietnam and six of the ten largest banks in the Philippines, and extends beyond scoring into digital identity verification, fraud prevention and an unusual model that predicts residential and office addresses from alternative data. The company also builds co-lending and embedded finance arrangements with banks and consumer brands, including a platform partnership with a Vietnamese conglomerate aimed at reaching 27 million families. Founded in 2013 by a data scientist with a doctorate in econometrics and a background in global credit risk at a major bank.

Monnai supplies consumer insight infrastructure to digital lenders, banks and fintechs across the United States, Latin America, India and Southeast Asia, delivering four decisioning modules through a single interface: customer identification, trust and fraud risk, credit decisioning and collections optimisation. It aggregates, normalises and contextualises disparate data sources across silos and borders, drawing on payment, communication, device and identity signals, and enriches coverage with proprietary data for geographies where verification is otherwise hard. The company states it can return hundreds of insights on billions of consumers through one interface, and reports customers seeing 99 percent detection of fraudulent identities alongside a 40 percent increase in approval rates and a 45 percent reduction in defaults. A graph based dashboard lets fraud and credit analysts identify risk factors in a single view.

CredoLab scores creditworthiness from smartphone device metadata for banks, consumer finance companies, auto lenders, online and mobile lenders, insurers and retailers, aimed at applicants with no credit file. A white labelled app or embedded kit collects behavioural signals only after explicit opt-in, covering application ownership patterns, device model and age, contact and message counts, file sizes and interaction habits, and the company states no personally identifying information leaves the device and that it never learns an applicant's name, address or number. Models built on more than 21 million loan applicants across 70 lending partners have supported over a billion dollars of lending in more than 20 countries, with behavioural patterns learned across 50. A 2025 income prediction model estimates earnings from thousands of anonymised signals, and institutions can train it on their own local populations.

Meelo consolidates identity verification, fraud detection, solvency assessment, company trust scoring, bank account validation and documentary control into one French platform, so institutions stop assembling those checks from separate vendors. It cross analyses more than 400 signals spanning documentary, behavioural and contextual evidence, verifies documents and biometrics including passport chip reading, reads the digital journey for proxy use and automated behaviour, and pulls bank data through European open banking rules or by parsing statements where that access is unavailable. Business checks run a double score covering company trustworthiness and the representative's identity, assessing more than 100 control points in under five seconds. The company states its models are completely explainable, that they distinguish risky profiles from legitimate customers even atypical ones, and that its AI is supervised by a certified practitioner. It runs on fully sovereign French infrastructure.

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 errors across 44 languages including Arabic, Russian, Chinese and Korean. Forty eight algorithms from phonetics, computational linguistics and mathematics combine with supervised machine learning and a fuzzy logic engine that weighs attributes such as date of birth, address and identifiers alongside the phonetic match. The company reports cutting alert rates from an industry average around 30 percent to under 3 percent and operational costs by more than 80 percent, validated across numerous United States banks, screening in under 200 milliseconds. Applications span sanctions screening, payment screening, payee verification, perpetual customer due diligence, trade finance and model validation.

EverC, formerly EverCompliant, supplies merchant risk intelligence to banks, merchant acquirers, payment providers and marketplaces, detecting high risk sellers, transaction laundering and illicit or counterfeit products across the online seller ecosystem. MerchantView assesses and monitors merchants through their whole lifecycle, checking category codes for discrepancies that indicate a business selling something other than what it declared. MarketView classifies billions of product level data points including text, images and metadata, scanning over 30 million items daily. Instant Onboarding returns risk insight in under fifteen seconds using a proprietary risk graph that reads connections between web addresses to surface suspicious associations, repeat offenders and known bad entities, with automatic category code classification. Smart Scan assesses whole marketplaces with no integration. The company merged with G2 Risk Solutions in 2025.

FiVerity runs an anti-fraud collaboration platform letting banks, credit unions, payment institutions and online lenders share fraud intelligence with each other, with regulators and with law enforcement, on the premise the Federal Reserve itself has stated: no single organisation can stop synthetic identity fraud alone. Its distinguishing design is how the sharing works. Institutions exchange pattern matches rather than consumer personal information, protected by double blind encryption, so fraud intelligence moves without customer identities moving with it. The platform aggregates alerts across the network, enables joint investigations under the statutory information sharing safe harbour, pre-fills suspicious activity reports, and surfaces repeat offenders operating across multiple institutions. It deploys without integration work, and claims to catch more than half the fraud conventional rules based systems miss.

Omilia runs a fully proprietary conversational AI stack for enterprise contact centres, built over two decades and comprising its own speech recognition, voice biometrics, dialogue management and speech synthesis rather than assembled from third party components. Its financial services line ships more than 300 models trained specifically on banking and finance intents, handles payment capture to the highest card industry compliance tier through both speech and keypad with real time redaction so card data is never stored in clear text, and lets customers pay bills, check balances and move money without reaching an agent. Its authentication layer combines passive and active voice biometrics with real time detection of deepfakes, synthetic callers, spoofed numbers and replay attacks. Named users include two of the largest United States card issuers and a major Canadian bank.

DataVisor unifies fraud detection, anti money laundering monitoring, customer and business onboarding checks, case management and risk decisioning on one platform covering the whole customer lifecycle, an approach it calls combined fraud and compliance operations. Its engine layers four things: patented unsupervised machine learning that finds coordinated attacks in unlabelled data without being told what to look for, supervised models for known patterns, graph based link analysis that exposes rings across accounts and devices, and agents that automate investigations and rule tuning. A conversational agent layer launched in 2026 carries logged interactions, human approval for actions, auditability and rollback. The company is a Forrester Wave leader in anti money laundering, a Forbes Fintech 50 company, and publishes annual executive research on the gap between AI driven attacks and institutional defences.

Cybera sells banks, crypto platforms and cyber insurers two products aimed at authorised payment scams. Mule Intelligence feeds verified accounts and wallet addresses used by scammers into an institution's existing fraud and compliance systems so outgoing payments can be blocked in real time and mule accounts inside its own customer base surfaced, with the intelligence gathered from active defence operations, victim reports and law enforcement collaboration rather than inferred from behaviour, which the company calls non probabilistic. Scam Response handles the aftermath: a victim reports online and within minutes the case is dispatched to law enforcement, beneficiary banks and exchanges, with a dedicated team managing victim communications on the institution's behalf. The company claims recovery chances improve up to tenfold.

Vyntra was formed in June 2025 by merging NetGuardians, the Swiss payment fraud and anti money laundering specialist founded in 2007, with Intix, a Belgian transaction data platform, both owned by the same private equity firm. It combines financial crime prevention with what it calls transaction observability, giving banks real time visibility of every payment alongside detection. The detection engine layers unsupervised, supervised and active learning with a community scoring service that lets participating institutions extend their risk signals beyond their own data. More than 130 financial institutions across over 60 countries use it for payment fraud, internal fraud, anti money laundering monitoring and instant payment protection, including 60 percent of Swiss state owned commercial banks and three of the country's top ten private banks.

Prism Data pioneered cash flow underwriting, turning consumer bank account transaction history into a three digit score lenders can drop into existing credit policies alongside a bureau score. Its CashScore is consortium based, built from millions of anonymised, consumer permissioned records spanning many banks, credit products and customer segments, and is offered alongside first party fraud and small dollar lending variants plus income, categorisation and trended attribute products. Data reaches it de identified through any aggregator, decision engine or single endpoint interface, and returns in under a second. The company states compliance with United States credit reporting and equal opportunity law, supplies adverse action reason codes, and offers delivery through both consumer reporting agency and non agency channels.

Enigma supplies identity and financial health data on United States small businesses to banks, lenders, payment processors, issuers and insurers, built on a panel covering more than 40 percent of American card transactions. That makes it the only provider deriving small business revenue from observed card activity rather than modelling it from employee counts or industry codes, and it publishes monthly and annual revenues, growth rates, average transaction size, payment technologies in use and sub industry classification across tens of millions of businesses. Lenders use it for know your business verification, underwriting, fraud intelligence and early detection of deteriorating merchants. The company states its data has helped lenders identify hundreds of thousands of healthy small businesses that would otherwise have been overlooked or denied credit.

Coris supplies merchant risk infrastructure to the parties that underwrite merchants rather than to merchants themselves, covering software platforms with embedded payments, independent sales organisations, payment facilitators, acquiring and sponsor banks, marketplaces and lenders. It aggregates intelligence on around 330 million small and medium businesses across more than 50 countries, applies proprietary models to automate onboarding and underwriting, monitors card and ACH payments in real time using merchant and transaction signals rather than payer data alone, and issues early warning before a merchant fails. Agents run risk playbooks by adjudicating alerts, pausing payouts and closing routine cases with full audit trails, while edge cases escalate to analysts. It integrates natively with a major payments platform's marketplace product.

Spade turns the indecipherable strings that banks and fintechs receive from card, ACH and wire transactions into verified merchant records, matching raw data against a proprietary ground truth database so an institution knows exactly where and with whom each transaction occurred. AI agents continuously scan the web and external sources to fill metadata gaps and remove duplicates, producing precise geolocation and verified merchant categories independent of the legacy category codes the industry has relied on. The company publishes 99.9 percent coverage of United States and Canadian merchants at over 99 percent accuracy, with tail latency under 40 milliseconds. Customers use the enriched data for authorisation decisioning, fraud prevention, rewards attribution, analytics, behavioural segmentation and loan targeting.

Kaaj deploys multiple AI agents that work together to take a raw small business borrower package through the whole credit analysis chain, covering document intelligence, business verification, bank statement and cash flow analysis, asset valuation, fraud detection, financial analysis and risk assessment, and producing a decision ready credit memo in under three minutes where an underwriter would take days across thousands of documents. It also shows a lender whether an applicant meets that lender's own policy criteria. The economic argument behind it is precise: underwriting a hundred thousand dollar loan costs a lender the same as a five million dollar one, so loans under a million are unprofitable and go unmade, which is why roughly half of small business applicants do not receive the capital they seek. Buyers are equipment finance companies, small business lenders, brokers, private credit teams and community institutions.

Simudyne builds agent based simulation for financial institutions, modelling the individual behaviour of banks, asset managers, funds, customers and market infrastructures so that system level effects emerge from their interactions rather than being assumed. Its argument is that conventional stress testing cannot capture the dynamics, feedback and interconnectedness that characterise an actual crisis, and that tracing how a shock propagates requires simulating heterogeneous participants acting on idiosyncratic and sometimes suboptimal rules. Banks use it across credit, market and operational risk for default contagion, stress testing, market execution, fraud and financial crime, with the platform running millions of scenarios on cloud infrastructure so decisions can be rehearsed before they are taken. Simulators are validated through a published six step process.

Heka assembles intelligence about individual consumers from outside an institution's own records, drawing on live open web data, digital footprint analysis, darknet sources and non reporting collections data across thousands of global sources, and structuring it into profiles that surface alias use, reputational exposure and behavioural anomalies. Banks, insurers, payment processors and pension schemes use those signals for fraud detection, credit and insurance underwriting, onboarding and consumer tracing, delivered through a single interface or in batch and returned inside 300 milliseconds for transaction decisions. The company describes its approach as drawn from intelligence community tradecraft and positions explainability and auditability as central, on the argument that credit bureau files and velocity models miss what is happening online.

Callsign recognises returning bank customers by how they behave rather than by what they know, combining behavioural biometrics, device intelligence and contextual analytics through an orchestration engine that decides what authentication a given interaction actually needs. It covers account login, payments, account creation and network access, against account takeover, social engineering scams, malware and bots, SIM swap and call diversion, and synthetic identity. Its dynamic intervention capability detects social engineering in real time and sends the customer a contextual, personalised warning before they transfer money to a fraudster, and it fuses telecommunications network signals indicating a live call during a payment. The company publishes commissioned economic research on digital exclusion and frames security as enabling access rather than restricting it.

Stratyfy builds interpretable machine learning for financial institutions across credit risk assessment, fraud detection and bias mitigation, on the argument that transparency and control matter more than raw predictive power when the decision affects a person. Its Probabilistic Rules Engine produces decisions expressed as readable rules rather than scores, so any prediction can be explained directly to the customer, to regulators and to internal stakeholders, and lenders can write their own knowledge of market conditions and emerging risks into the model alongside the data. A published comparison against conventional decisioning found it identified nearly twice as many pre qualified applicants while lowering the overall bad rate, expanding the addressable market by 70 percent. The company is women led and backed by a major bank's venture arm and a core banking provider.

Silent Eight builds custom AI models for each bank it serves, trained on that institution's own historical case data so the system replicates how its investigators actually reason and decide. Its Iris platform runs end to end compliance automation across name and transaction screening, investigation, decision making and quality assurance, closing alerts with explainable, auditable reasoning rather than a score, and benchmarking an institution's performance against peers worldwide. Agents have run in live environments at global banks since 2018, and the company reports investigation times cut by up to 60 percent and manual workloads by 70 percent. Two of the world's largest banks are both customers and investors.

Lucinity builds what it calls Human AI for financial crime prevention, pairing models with the investigators who use them rather than replacing them. Its assistant Luci, launched in 2023 as the first generative copilot for this function, summarises and analyses complex cases, runs adverse media checks, drafts suspicious activity reports and takes investigations from hours to minutes, working either inside the company's own case management and customer view modules or as a plugin into whatever transaction monitoring, fraud and know your customer systems an institution already runs. The platform is deliberately system agnostic, built on a major cloud provider's enterprise AI service, and uses retrieval augmented generation with validation and detailed audit logging. A large enterprise software group secured rights to the investigation technology in 2026 and embedded it in its own financial crime platform.

Arva AI builds agents to do the manual financial crime work banks and fintechs currently staff with analysts, across three products covering sanctions and adverse media screening, know your business and know your customer onboarding, and transaction monitoring alerts. Its agents conduct web due diligence on a business to establish what it actually does, verify and extract from formation, ownership and banking documents, detect document fraud, enrich entity and individual records from online sources, and handle the information exchange with the applicant during onboarding, drawing on incorporation data across more than 150 countries. The stated design is that agents replace human analysts outright on low and medium risk cases, delivering instant onboarding, and the platform can either sit alongside an existing compliance stack or replace it end to end.

Deconflict runs a two sided intelligence network connecting 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 on chain entities across federal, state, local, tribal and international jurisdictions, preventing agencies from unknowingly working the same target. On the institution side an interface lets compliance teams query active law enforcement signals before a transaction settles, returning typology, source agency and confidence level formatted to drop into suspicious activity narratives and account closure records. Identifiers are exchanged in hashed form, investigative files and tactics stay siloed on the agency side, and participation requires verified law enforcement or regulated institution credentials.

Tookitaki unifies anti money laundering monitoring, fraud prevention, screening and case management into one platform for banks, digital banks and payment institutions across Asia Pacific, pre configured for the requirements of four named regional supervisors. Its distinguishing asset is a collaborative intelligence network of more than 200 institutions contributing anonymised typologies, red flags and fraud patterns, now exceeding 1,200 risk scenarios, which reach members through federated learning so detection improves without customer data ever being shared. Every flagged transaction carries an explanation of the data and logic behind it, an investigation copilot drafts case summaries and regulatory filings, compliance teams adjust thresholds without engineering support, and drift detection and retraining are built into the model lifecycle.

KYP, for Know Your Partner, monitors the businesses an institution depends on rather than the customers it onboards, replacing point in time due diligence with continuous surveillance. It aggregates more than 2,000 global data points covering credit scores, sanctions and politically exposed person lists, adverse media, insolvency filings, cyber risk assessments and dark web activity, then applies its own models to connect those signals into a single risk picture and raise alerts as it changes. Named uses in financial services include merchant portfolio monitoring for acquirers and risk scoring of third party providers each time they access an account servicing institution under open banking, alongside supply chain due diligence and invoice risk scoring. Distribution runs largely through payments and embedded finance infrastructure partners.

Vouched began as a document based identity verification provider, reading photo identity documents, comparing them to a live selfie, detecting tampering and checking details against databases, aimed at industries where missing documentation excludes people from access. It has since turned toward verifying artificial intelligence agents rather than only people, building a Know Your Agent platform with an agent reputation directory and continuous behavioural monitoring for anomalous or malicious activity. A shipped integration binds a biometric check of the authorising human to the moment an agent is created, after which the agent receives only the financial authority its user intended through payment tokens bounded in advance by merchant, amount and use case, with every authorisation event logged into a tamper evident trail.

Merkle Science supplies blockchain transaction monitoring and intelligence to crypto asset businesses, banks, government agencies and law enforcement, positioning itself against the incumbents on method rather than scale. Where the established players rest on databases of known illicit addresses, its proprietary engine applies predictive behavioural analysis and machine learning to flag suspicious wallets from their patterns of activity, combined with cross chain tracing, real time risk scoring and configurable behavioural rules. Screening runs against sanctions and law enforcement lists alongside its own crypto crime database, covering darknet activity, child exploitation material and sanctions exposure, and forensic tools deanonymise identities through graph network analysis. Founded in Singapore with offices across Asia, the United States and Europe, it is the leading challenger from outside the Western incumbent group.

Chainalysis is the established leader in blockchain analytics, supplying data, software and research to banks, exchanges, crypto businesses, law enforcement and regulators in more than 70 countries. Its investigation tool traces funds across wallets and chains for human analysts, its transaction monitoring product screens activity in real time against high risk addresses, and address screening, sanctions checking, virtual asset provider risk scoring and stablecoin risk sit alongside them. Acquisitions have added web3 threat prevention and fraud detection, and an artificial intelligence triage tool and blockchain intelligence agent are being rolled out across the suite. A free public sanctions screening interface is available without any commercial licence, and the company runs its own certification programme for compliance officers and regulators.

Wink authenticates people at the moment of payment rather than at account opening, combining face, palm, voice and device recognition into a multi factor biometric layer that identifies a customer from a population in under a second, without a card, phone or password. It is distributed through payments infrastructure rather than sold direct, embedded into a major acquirer's point of sale estate across every device without new hardware, into terminal makers' software, into a chipset partner's platform and into self service kiosks, with on device processing at the edge in some deployments. Alongside the biometric layer the company operates its own payment gateway and network, certified at the highest card industry security tier, which merchants can own or rent and which handles hundreds of millions of transactions a year.

CipherOwl builds onchain compliance infrastructure for banks, fintechs, payment providers and public sector agencies moving into digital assets, founded by the team that built a major exchange's petabyte scale onchain data and financial crime platform. Its stack covers screening, reasoning, reporting and research across multiple blockchains, automating transaction monitoring and risk assessment and producing audit ready output for regulatory filing and internal oversight. The stated design principle is that every action and finding must be explainable, reproducible and defensible to a regulator, with agents grounded in ledger data rather than reasoning freely. The company emerged from stealth in October 2025.

ADVANCE.AI is the risk management software business of Advance Intelligence Group, selling digital identity verification, know your customer and know your business checks, anti money laundering screening, fraud prevention and credit scoring to banks, lenders, payment firms and platforms across Southeast Asia, India and China. Its verification stack combines document checks, liveness detection, face comparison and biometric anti fraud, and a low code orchestration platform lets an institution assemble onboarding and compliance journeys that satisfy each market's local requirements. A 2022 acquisition added merchant due diligence and merchant risk to the range. The parent group separately operates consumer lending businesses; this entry covers the software unit only.

Entrust sells identity verification to banks, payment companies and other regulated institutions through a named product line built on the Onfido technology it acquired in 2024. Document verification and facial biometrics run under Atlas AI for fully automated end to end checks, with a drag and drop orchestration layer letting an institution combine document checks, biometrics, trusted data sources and passive fraud signals into journeys tuned to its own risk, friction and regulatory requirements. The position is distinctive because the parent also manufactures the card issuance infrastructure banks use, so verifying a customer and issuing them a physical debit card can happen in one continuous flow.

HyperVerge sells identity verification and customer onboarding to banks, non bank lenders, brokerages and insurers, built on computer vision research its founders started in academic competition. The platform covers document capture and optical character recognition across government identity types, face matching, passive and active liveness, deepfake and forgery detection, the regulated video customer identification process, identity authority based electronic verification and sanctions screening, bundled since 2024 into a single configurable onboarding journey. A lending oriented layer adds court and police record screening, detection of one applicant appearing under multiple identities, tampered document detection, financial spreading and credit memo preparation, and photograph based business address verification.

Signzy sells digital onboarding, identity verification and compliance automation to banks, non bank lenders, payment providers and global enterprises. Its no code platform and API marketplace let an institution assemble a risk based onboarding journey without engineering, covering document capture and optical character recognition, biometric face match, liveness and deepfake detection, forgery checks, know your business verification, sanctions and politically exposed person screening, transaction monitoring and contract execution. Trust Scores built on more than 200 device, transaction and identity signals target mule account fraud, and central know your customer registry submission is automated. The company is independent, with Mastercard, SAP and Microsoft simultaneously investors, distribution partners and customers.

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.

NICE Actimize sells financial crime risk management to banks and financial institutions through Xceed, a cloud platform that unifies fraud prevention and anti money laundering in one workflow. Entity centric monitoring, fuzzy logic watchlist matching and sanctions screening run alongside real time fraud detection, with suspicious activity and currency transaction reports filed to authorities from the same system. Xceed AI Agents, introduced in 2025, automate alert triage, backlog categorisation and high risk case summarisation, hold conversational dialogue with investigators and learn from analyst decisions, under a stated analyst in the loop model. The business is part of NICE, a listed company, and serves more than 1,000 organisations across over 70 countries.

Featurespace sells the ARIC Risk Hub to banks, acquirers and payment processors, a real time machine learning platform that builds an individual behavioural profile for every customer and scores each payment against it rather than against fixed fraud rules. Its Adaptive Behavioral Analytics and Automated Deep Behavioral Networks profile normal activity, peer group behaviour and scam patterns, and adapt continuously as behaviour and attack methods change. ARIC Scam Detect extends the same approach to authorised push payment scams. The company was founded out of Cambridge University engineering research and was acquired by Visa in December 2024, and the platform is now also distributed as a Visa solution.

Omnisient runs a privacy preserving data collaboration platform that lets banks, insurers and credit bureaus draw alternative data insights from retailers, telecommunications operators and other consumer businesses without either side exchanging personal information. Privacy enhancing technologies, tokenisation and cryptography hold the parties apart while embedded machine learning tools build and test scoring models inside a neutral environment, so only insights move rather than data. The principal use case is credit risk scoring for consumers with no credit history or thin files, alongside fraud and financial crime work and payment media network monetisation for banks.

Charm Security sells scam and social engineering defence to banks, fintechs, payment providers and credit unions. Rather than scoring transactions or devices, the platform assesses what the company calls human vulnerability exposure, analysing customer risk patterns using psychological insight to identify who is susceptible to manipulation, then deploys agents that intervene in real time while a scam is unfolding across digital, voice and in person channels. It was created inside Team8's venture creation fund and its stated regulatory driver is the shift of authorised push payment fraud liability onto banks.

Duna is a business identity platform for regulated companies, automating know your business, know your customer, customer due diligence and anti money laundering checks during onboarding. The platform collects and structures company data, routes checks to third party data providers, applies real time risk scoring and runs automated audit trails. Its stated direction is a shareable digital passport for every business, evolving into a network where one verification is reused across institutions for one click onboarding. Buyers are banks, fintechs, payment infrastructure providers and regulated platforms, concentrated in Europe.

CLARA Analytics sells casualty claims intelligence to insurers under the CLARAty.ai platform, applying document intelligence, predictive models and generative AI to medical notes, medical bills and legal demand packages across workers compensation, commercial auto liability and general liability. Named modules cover triage, medical provider scoring, fraud referral, subrogation identification and Medicare Secondary Payer submissions. Its models are trained on a contributory database of pooled claims outcomes contributed by its own customers. Buyers are carriers, managing general agents and underwriters, reinsurers, third party administrators and self insured organisations.

AiPrise verifies businesses and the individuals behind them across more than 200 countries through one interface, pulling registry records, local documents, sanctions and watchlist data, device and network intelligence and web signals from over a hundred sources into a single risk view. Its focus is emerging and harder to verify markets where registry data is incomplete, and it maps beneficial ownership beyond minimum regulatory thresholds. AI agents summarise websites, documents and alerts and generate enhanced due diligence reports while analysts retain the final decision against an audit trail.

ComplyAdvantage supplies the risk intelligence and screening layer that banks, fintechs, insurers and crypto businesses run their financial crime programmes 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 is used by other vendors as their screening source.

Fourthline handles customer due diligence and anti money laundering compliance for European banks, fintechs, insurers and brokers, combining proprietary models for document authenticity, biometrics and liveness with screening, ongoing monitoring and a human expert review layer. Its distinguishing strength is jurisdictional depth rather than breadth, building onboarding flows that satisfy each European market's local interpretation of the directives, including regulated video identification where a country requires it, and it also remediates a bank's existing customer records. A merger with a Spanish identity provider was announced in July 2026, subject to regulatory approval.

Feedzai runs real time fraud, scam and financial crime prevention for the world's largest banks, payment networks and acquirers, risk assessing around 120 billion events and 9 trillion dollars of payment volume a year across onboarding, digital activity, card payments, instant transfers and anti money laundering workflows. Its Pulse engine combines customer authored rules with machine learning and builds a behavioural baseline for each individual customer, and in 2026 it introduced a foundational model purpose built for financial risk data alongside a network derived scoring service delivered through a single interface.

Worth AI consolidates small business onboarding and underwriting for banks, credit unions, fintechs and payment providers into one decisioning layer, combining business and beneficial owner verification, identity checks, bank and financial verification, fraud detection and credit assessment. Its patented crosswalking technology matches business identities in real time across secretary of state filings, federal tax records and other sources against a database of hundreds of millions of businesses, and its WorthScore draws on more than eleven hundred traditional and non traditional data points to produce a unified business credit score.

Fraud.net unifies fraud prevention, anti money laundering compliance and risk management on one platform for banks, credit unions, payment processors, acquirers, remittance companies, fintechs and commerce businesses. It combines a no code rules engine the customer authors with machine learning models tailored per client, entity screening and transaction monitoring, data orchestration across internal and external sources, and a cross customer intelligence network it describes as the largest anti fraud network of its kind.

Ocrolus turns the documents a borrower submits into decision ready data for lenders, reading bank statements, pay stubs, tax forms and roughly a thousand other document types regardless of format or quality, then producing income calculations, cash flow analytics and fraud signals that feed underwriting. Purpose built for lending since 2016, it analyses around 750,000 credit applications a month across mortgage, small business, consumer and auto finance, delivers into loan origination systems rather than a separate console, and insures its data capture accuracy through the Lloyd's market.

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 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 defence agencies.

Forter makes real time trust decisions on digital commerce transactions using a first party identity graph covering more than two billion identities, approving or declining without manual review and backing approved transactions with a chargeback guarantee. Built first for merchants, it now sells directly to payment service providers managing fraud on behalf of their merchant portfolios and is extending to acquiring banks through payment orchestration partners, and its models decode issuer authorisation logic to lift approval rates as well as block fraud.

IDfy runs identity verification, business verification and fraud detection for banks, non banking lenders, insurers and fintechs across India, Southeast Asia and the Middle East, processing around two million verifications a day. It combines document reading, face matching, liveness and deepfake checks with direct lookups into national identity, tax, company and small enterprise registries, adds beneficial ownership identification for anti money laundering work, and layers device fingerprinting and velocity signals for fraud, alongside a background check operation covering employment, education, criminal and court records.

Veriff verifies identities for banks, fintechs, lenders, trading platforms and crypto businesses by reading government documents across more than 12,500 types and 230 countries, matching faces, checking liveness and analysing over a thousand signals per session including device and network behaviour. It runs an automated decision engine backed by human reviewers, publishes its own accuracy and first attempt success figures, and gives customers stated visibility into how the engine reaches a verdict. In February 2026 it acquired Vespia, a fellow Estonian company founded in 2021 by Julia Ront and Anton Vedesin, adding a business verification line to what had been an individual identity product: commercial register data from more than 300 jurisdictions, shareholder and beneficial ownership resolution through complex corporate structures, continuous monitoring of ownership changes, and screening of every entity in a structure against politically exposed person, sanctions and adverse media lists. Veriff has described the move as a step beyond identity verification toward a single vendor trust platform, with the acquired technology due to become commercially available across its platform by the middle of 2026.

Trulioo verifies both people and businesses through one platform, reaching 195 countries by orchestrating more than 450 global and local data sources behind a single integration, and covering identity documents, biometrics, watchlist screening, beneficial ownership, fraud signals drawn from email, phone and network data, and more recently credit and financial insight for business onboarding. Financial institutions use it to run customer and business due diligence in markets where no single data source is authoritative, building their own risk models and workflows on top.

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, which is aimed squarely 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, customer risk assessment and an agentic investigation suite, and it is built to overlay existing monitoring engines rather than replace them.

Baselayer verifies American businesses rather than consumers, combining secretary of state filings, court records, registries, lien data and direct tax identification number checks with website, social and review signals to confirm that a company, its owners and its signers are real and legitimate. Its distinguishing asset is an identity network that links business application activity across more than two thousand participating institutions, surfacing loan stacking, application velocity and synthetic business identities that a single institution's own view cannot see.

Proof, formerly Notarize, binds a verified identity to high value transactions and seals the result so it cannot later be repudiated. Mortgage lenders, title agencies, banks, credit unions and insurers use it for full and hybrid electronic closings, remote online notarization through a network of commissioned notaries available around the clock, and identity assured signing where no notarial act is required. Verification combines message authentication, knowledge based challenges, credential analysis, biometric comparison and third party database checks, with a fraud layer adding deepfake detection and network signals.

Argos Identity runs remote identity verification for digital banks, neobanks, lenders, payment platforms and virtual asset businesses, reading identity documents across more than 4,000 types and 195 countries while matching faces, checking liveness and detecting forgery and image manipulation in parallel. Delivery is deliberately light, starting from a single hosted verification link configurable from a dashboard, with results returned by webhook in under a minute, alongside a document verification service, an optical character recognition product and screening data for anti money laundering checks.

Reality Defender detects synthetic media in real time, running an ensemble of models against live voice on contact centre calls, participants in video meetings, and images and documents in verification flows. In financial services it is deployed against voice cloning that defeats phone based authentication, executive impersonation in video conferences used to authorise transfers, and generated media aimed at identity verification checks, and it is designed to sit alongside an institution's existing security and liveness infrastructure rather than replace it.

Oscilar unifies onboarding, fraud, anti money laundering compliance and credit underwriting on a single no code decisioning platform, replacing the separate point tools and rule engines institutions usually run for each. Risk teams compose and test workflows through a visual builder or in natural language, more than eighty data sources connect through an integration hub, named machine learning models score balance, repayment behaviour and cash flow for credit, and agents trained on the institution's own procedures triage alerts and draft investigation narratives under human governance.

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 tuneable, network analytics layer community detection and pathway analysis on top, and the same foundation is reused across financial crime, customer due diligence, fraud, credit risk and customer intelligence.

Flagright provides real time transaction monitoring, sanctions and watchlist screening, customer risk scoring, case management and regulatory reporting for fintechs, neobanks, payment firms and banks, screening each transaction before it clears rather than in overnight batches. Compliance teams author detection logic themselves through a no code engine that also accepts natural language, simulate rule changes against live conditions without touching production, and run agents that triage false positives, assist investigations, enforce investigation quality and draft case closure narratives. It is offered as hosted software, hybrid, or fully on premise.

Unit21 consolidates fraud prevention and anti money laundering into one platform covering real time transaction monitoring, entity and network analysis, customer risk rating, case management and regulatory filing. Risk teams author detection logic through a no code interface without engineering support, machine learning scores expose which variables drove each alert, and configurable agents carry investigations from signal through evidence collection and narrative drafting to a regulator ready filing with a full audit trail.

Elliptic provides blockchain analytics and crypto financial crime compliance to banks, crypto businesses, payment firms, regulators and law enforcement, scoring wallets and transactions in real time against sanctions, ransomware, darknet and other illicit exposure across more than fifty blockchains and hundreds of cross chain bridges. Its newer work follows digital assets into mainstream banking, including due diligence on stablecoin issuers for banks holding reserve assets and detection of crypto exposure inside conventional fiat transaction flows.

Persona is a configurable identity platform that lets a business assemble its own verification flows from building blocks covering government identity documents, biometric face matching and passive liveness, business verification and beneficial ownership, sanctions and watchlist screening, third party data and case review. Flows can vary by customer type, geography, product and risk level, and the platform serves banks and fintechs alongside marketplaces, gig platforms and consumer apps.

Taktile is a decision platform that lets risk teams at banks, credit unions, fintechs and insurers build, test and deploy the logic behind their own automated decisions without engineering support. It covers onboarding, credit underwriting, fraud, transaction monitoring, claims and collections through low code building blocks with a Python escape hatch, adds a copilot that drafts and debugs decision logic from plain language, and runs agents that handle designated tasks such as extracting data from documents or reading financial statements alongside a human underwriter.

Sardine unifies fraud prevention, anti money laundering compliance and credit underwriting on one platform, built around proprietary device intelligence and behaviour biometrics that it folds into every other signal rather than offering as a separate module. It covers the lifecycle from onboarding and account funding through payments, adds sanctions and politically exposed person screening, transaction monitoring, network investigation tooling and a cross industry consortium, and layers agents that automate detection, investigation and review work for risk teams.

SEON combines fraud prevention and anti money laundering compliance in one platform, built around enriching a thin signup input such as an email address, phone number or address into a wide risk picture. It checks those identifiers against hundreds of online platforms and breach sources to expose fake or shallow digital trails, layers device fingerprinting and behavioural signals on top, and returns an enriched profile, rule evaluation and score in a single real time response. Decisioning runs on customer authored rules alongside machine learning that the company deliberately keeps inspectable rather than opaque.

BioCatch analyses how a person physically and cognitively interacts with online and mobile banking, covering typing cadence, navigation patterns, hesitation and signs of duress, and turns those signals into real time fraud risk for the bank. Its platform targets account opening fraud, account takeover, social engineering scams and money mule accounts, and it runs an inter bank intelligence sharing network in Australia that lets participating banks act on behavioural financial crime signals collectively.

Incode Technologies sells an end to end identity verification and biometric authentication platform to banks, credit unions, neobanks, fintechs and government agencies, covering document capture, facial matching, passive liveness, deepfake detection and database checks for customer identification and onboarding. Its distinguishing choice is building the entire model stack in house rather than assembling third party components, which lets it retrain against a specific fraud threat in days and puts its biometrics into independent government benchmarks under its own name. In June 2024 it acquired MetaMap, an identity verification and trust orchestration platform that had raised more than eighty four million dollars in primary equity, and which continues to operate as a named product line with its own published service status reporting. MetaMap is built on a different principle from the in house stack described above, chaining configurable verification steps across government registries, financial records and biometric checks, and it brings a deep bench of Latin American and African government database connections spanning Mexican, Colombian, Argentine, Nigerian, Kenyan and Ugandan national registries.

TRM Labs is a blockchain intelligence platform that attributes on chain activity to real world entities and sells that intelligence to banks, fintechs, crypto businesses, regulators, tax authorities and law enforcement. Its products span wallet screening, transaction monitoring, entity due diligence and cross chain forensic tracing, delivered with what the company calls glass box attribution, where the source and confidence level behind every judgement is exposed so the output can hold up as evidence.

Sumsub is a London based full cycle verification and financial crime compliance platform covering customer and business onboarding, sanctions and politically exposed person screening, transaction monitoring, Travel Rule compliance and fraud prevention in a single console. It combines document, biometric, liveness and deepfake checks with database validation across more than 200 countries, and exposes the whole platform through a documented API, mobile software development kits and a no code workflow builder.

Alloy is an identity risk orchestration and decisioning platform for banks, credit unions and fintechs. It sits above an open ecosystem of more than 270 identity, fraud, credit and compliance data providers, routing and sequencing vendor calls behind a single API while customers author their own risk policies, and layers proprietary machine learning and agentic automation on top for fraud scoring, portfolio level attack detection and case triage across onboarding, authentication, transaction monitoring and credit.

Socure operates an AI native identity verification and risk decisioning platform used by financial institutions for customer identification, KYC, sanctions and watchlist screening, and identity fraud detection. Its RiskOS orchestration layer lets risk teams assemble onboarding, authentication and compliance workflows without code, and its Sigma model family covers third party, synthetic and first party fraud.