Fraud Detection & Transaction Risk
R

Ravelin

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 anonymized.

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 optimization 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 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.

Last VerifiedAugust 24, 2026
Compare Ravelin with other vendors
Founded
2015
Headquarters
London, United Kingdom
Website
www.ravelin.com
Categories
fraud-and-transaction-risk, payments-intelligence
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 10 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Three model classes carry the product: machine learning trained on each merchant's own history, graph link analysis exposing fraud rings in real time, and behavioral analysis across the shopper journey. Without them only an anonymized cross merchant lookup table would remain, which the company treats as one signal rather than the proposition.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Machine learning is paired with customer configured rules set to the merchant's own risk appetite, and Insights lets a fraud team probe anomalies and build reports with an AI query builder. With no chargeback guarantee the merchant holds both decision and loss, and defaults before configuration are unpublished.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

The company explains why per merchant models beat generic ones and publishes its reasoning for choosing machine learning over rules from its own testing. No accuracy, precision or false positive figure is published for any model, not even a headline claim, so a reviewer learns how the system is built and nothing of how well it works.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

A 2025 year in review reports more than 3.5 billion transactions secured, 755.2 million unique shoppers and over $61.5 billion in orders, enough to size the platform without asking. Worldpay's February 2025 acquisition is externally attested, but no merchant is named and no outcome is attributed to an identified customer.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

Modeling is per merchant, so one customer's models are not built from another's transactions, while a separate cross merchant lookup flags whether a shopper was seen elsewhere and is stated to be fully anonymized. Whether a merchant can opt out of that lookup, what anonymized means when it must still recognize a returning person, and how long records persist are undocumented.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

A Data Protection Officer is reachable by dedicated email and London postal address, a European Union representative is published, and the company names itself a data controller. It cites the GDPR, the Data Protection Act 2018 and the ePrivacy Directive specifically, but no processing addendum, subprocessor list or retention schedule appears.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

ISO 27001:2022 is certified by the British Assessment Bureau, PCI Data Security Standard certification is held, and the Visa Global Registry of Service Providers lets a buyer confirm card certification independently. No SOC report, Statement of Applicability or trust center offers obtainable artifacts.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Card industry 3DS certification covers the 3DS Server, Access Control Server and Directory Server functions, defined roles that put the company inside the authentication rail. Rightly for a supplier, no financial license is claimed, and its 3D Secure material cites local rules and card network requirements without naming the authentication directive.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

The cross merchant lookup carries a prior fraud association into a decision at a merchant that never saw the shopper, and nothing describes how such an association is reviewed, aged out or corrected. No false positive rate, fairness test or model change approval is published, and per merchant training's possible limit on imported bias is never argued or tested.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Scoring sits with the platform and deciding with the merchant, so chargeback liability stays with the customer and no accuracy commitment is published. Because the cross merchant record is anonymized, a shopper flagged elsewhere has no practical way to access or correct it, so the privacy design also removes the route to fix an error.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

Ekata and Ethoca, both Mastercard businesses, are named as identity and dispute intelligence partners, so a buyer can check them against its own supply chain. Custom models train on the merchant's own history, but no subprocessor list, cloud provider or model provider is identified.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Operating 3DS components lets the platform use data card networks return through that flow to sharpen its own decisions, a two way integration rather than a single call. Transaction optimization sits in the payment path and developer guides address payment service providers, but no commerce platform or gateway catalog lets a merchant check support before contact.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

The platform is cloud hosted, and sustainability material confirms third party hosting without naming the provider. For a United Kingdom company serving shoppers worldwide, which publishes a European Union representative for exactly these questions, no processing location or transfer mechanism is stated.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Rate, tier, trial and even the metering unit are all withheld, so a buyer cannot tell whether charges follow transactions, order value, modules or a subscription. The silence stands out against how much else the company publishes, from transaction counts to certification bodies and data partners.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Merchants and payment service providers are both served, with more than 340 merchants accepting payments from customers in over 250 countries and territories. Coverage reaches past checkout into refund and promotion abuse, account takeover and marketplace supplier collusion, with distribution now through its acquirer's payments network.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Ravelin, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Oct 13, 2026Product / capability

Ravelin launched a documentation MCP server that connects AI coding assistants such as Codex, Claude and Cursor to its developer docs. Besides searching integration documentation, it can validate API request payloads and help troubleshoot integration errors. It is read only and needs no API key or authentication.

Bears on: Core Systems and Integration DepthSource
Our read on this update →Tracked since Oct 2026

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis Data Protection Terms Implementation Source
Not published. There is no public rate, tier, unit of sale, free tier or trial from Ravelin or any third party, and one directory records that no trial access is offered.
Undisclosed. Neither a rate nor a metering unit is published. The product is sold to two buyer types, online merchants and payment service providers, across a range the company describes as spanning startups to enterprises. It is packaged as several distinct solutions covering payment fraud, policy and refund abuse, and account takeover. Further solutions cover promotion abuse, marketplace and supplier collusion, 3D Secure and transaction optimization. A customer's cost plausibly depends on which of those they adopt as well as on volume. Since the February 2025 Worldpay acquisition the platform is positioned as a value added solution within a payments portfolio processing approximately $2.5 trillion annually. That suggests pricing is increasingly negotiated alongside processing terms rather than as a separate software line. No standalone data processing addendum or subprocessor list is published, but the privacy position is concrete. A Data Protection Officer is reachable by dedicated email and full postal address in London. A separate EU representative is named for post Brexit purposes, and controller status is stated for the UK entity. Five instruments are named specifically. GDPR appears alongside its UK incorporation under the Withdrawal Act and the Data Protection Act 2018, and the ePrivacy Directive and the Privacy and Electronic Communications Regulations are also cited. The cross merchant database is stated to be fully anonymized. On assurance the company holds ISO 27001:2022 assessed by the British Assessment Bureau, plus PCI DSS and PCI 3DS certification. It appears on the Visa Global Registry of Service Providers, which a buyer can verify independently. Not published and not disclaimed. No setup, onboarding, integration or professional services fee appears anywhere. Two elements of the delivery model would ordinarily carry cost and neither is priced. The platform is built on custom machine learning models trained on each merchant's own historical data rather than on generic models, which requires a data onboarding and training cycle before the models are useful. And the company states that its data scientists work alongside customers on continuous optimization as fraud patterns and business priorities change, which is an ongoing professional services relationship rather than a support desk. Both are presented as part of the proposition rather than as chargeable extras, and no rate, inclusion boundary or engagement minimum is stated for either. Vendor Published

Neither the vendor nor any third party publishes a figure. No rate, tier, band, unit of sale, free tier or trial appears anywhere, and one directory records explicitly that trial access is not offered. Nothing indicates whether the platform meters on transactions screened, orders processed or gross merchandise value, or on modules taken or seats. Several competitors withhold the number but name the unit. Ravelin names neither, so a buyer cannot model cost shape at all.

The absence sits oddly against how much else the company publishes. It discloses its annual transaction, shopper, order value, merchant and country figures in detail, and it names its data partners and its certification body. Since the Worldpay acquisition the product is increasingly sold as a value added service attached to payment processing. Any rate a buyer is quoted is likely to be bundled against processing economics rather than priced standalone, which limits what a standalone figure from a reseller says.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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