Ravelin
Ravelin is a fraud prevention and payments platform for online merchants and payment service providers.
What Ravelin is
Ravelin is a fraud prevention and payments platform for online merchants and payment service providers. Its coverage includes payment fraud, refund and promotion abuse, account security, partner fraud, 3D Secure, and transaction optimization. Detection combines machine learning, graph networks, behavioral analysis, consortium data, and expert rules. Ravelin says its consortium database contains more than 9 billion anonymized identity elements and is GDPR-compliant. For payment fraud integrations, customers send transaction and dispute details through an API and receive a recommendation on whether to continue processing. Teams can test rules in a sandbox, predict their impact, manage the full ruleset, and generate logic from natural-language prompts. Ravelin Insights adds performance monitoring, transaction-anomaly investigation, an AI query builder, and custom reports and dashboards. Integration options include APIs, browser JavaScript, and iOS and Android SDKs. Its 3DS Server supports three listed 3DS2 versions and is EMVCo approved. Pricing is available on request; the company describes its tailored platform as suited to business goals, risk appetite, and setup.
Good
- Covers payment fraud, account security, and abuse risks.
- Combines machine learning, graph networks, behavior, and rules.
- Offers sandbox testing and rule impact predictions.
- Provides APIs, browser JavaScript, and mobile SDKs.
- Dedicated account and specialist support teams.
Watch out
- Pricing is available on request.
- No chargeback guarantee.
- Supported channels are online.
Who it suits
Ravelin suits online merchants and payment service providers seeking fraud prevention, account security, or transaction optimization. Its tailored pricing and dedicated account and integration support are aimed at businesses with specific risk and setup needs.
Verdict
Ravelin combines fraud controls, configurable rules, transaction insights, and payment optimization for online businesses. Pricing is tailored and available on request, so prospective customers need to discuss their requirements with the company.
Plans and prices
From Ravelin's own pricing page, checked 2 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Customized Ravelin platform | Priced on request | Tailored to business goals, risk appetite, and setup · Contact Ravelin for a demo or call |
The facts
Each one read from Ravelin's own pages, with the date it was checked.
What it does
- 3D Secure
- Ravelin’s 3DS Server supports 3DS2 versions 2.3.1, 2.2.0 and 2.1.0 and is EMVCo approved.checked 2 Oct 2026
- Account security
- Its machine learning aims to detect account takeover and multi-accounting at login and checkout.checked 2 Oct 2026
- Agentic commerce
- Ravelin labels and analyzes automated agent transactions using custom rule conditions and dedicated Agent Details blocks.checked 2 Oct 2026
- API behavior
- For payment fraud integrations, customers send transaction and dispute details through the API and receive a recommendation about whether to continue processing a transaction.checked 2 Oct 2026
- Card schemes
- Its 3DS implementation is certified for Visa Secure, Mastercard Identity Check, Discover ProtectBuy, American Express SafeKey, Cartes Bancaires FAST’R by CB, JCB J/Secure, UnionPay 3-D Secure and Eftpos.checked 2 Oct 2026
- Consortium data
- Ravelin checks transactions against a consortium database containing more than 9 billion anonymized identity elements.checked 2 Oct 2026
- Customer base
- Ravelin says it helps more than 340 merchants and has supported secure ecommerce growth for over 12 years.checked 2 Oct 2026
- Customer profile
- Ravelin says it helps more than 340 merchants and positions its solutions for ambitious businesses that sell online.checked 2 Oct 2026
- Data protection
- Ravelin says its consortium database is fully anonymized and GDPR-compliant.checked 2 Oct 2026
- Developer integration
- Ravelin provides a payment fraud API, browser JavaScript integration, iOS SDK and Android SDK.checked 2 Oct 2026
- Fraud coverage
- Its solutions cover online payment fraud, refund abuse, account security, promotion abuse, partner fraud, 3D Secure, and transaction optimization.checked 2 Oct 2026
- Fraud detection
- Ravelin combines custom machine learning, behavioral analysis, graph networks, consortium data, and expert rules to detect fraud and abuse.checked 2 Oct 2026
- Insights
- Ravelin Insights provides performance monitoring, transaction-anomaly investigation, an AI query builder and custom reports and dashboards.checked 2 Oct 2026
- Integration assistance
- Ravelin says a dedicated project manager and integration engineer are assigned to support account takeover integrations.checked 2 Oct 2026
- Integrations
- Ravelin offers API endpoints and integration guides for payment fraud, account takeover, refund abuse, voucher abuse, transaction optimization, registration abuse, supplier fraud, and customer graph connections.checked 2 Oct 2026
- Purpose
- Ravelin is an AI-native fraud prevention and payments platform for online merchants and payment service providers.checked 2 Oct 2026
- Rules
- The platform provides sandbox testing, impact predictions, full ruleset control and an AI rule generator that creates logic from natural-language prompts.checked 2 Oct 2026
- Security
- Ravelin states that it is PCI 3DS compliant, PCI DSS compliant and assessed as conforming to ISO 27001:2022 requirements.checked 2 Oct 2026
- Security certifications
- Ravelin states it is PCI DSS and PCI 3DS certified and assessed as complying with ISO 27001:2022 requirements.checked 2 Oct 2026
- Support
- Ravelin describes support from a dedicated account manager and teams for integrations, product support, and data science.checked 2 Oct 2026
The company
- Company history
- Ravelin states it was founded in 2014.checked 2 Oct 2026
- Founded
- 2014checked 28 Sep 2026
- Headquarters
- London, UKchecked 28 Sep 2026
Where it runs
- Machine learning
- Ravelin combines custom machine learning, graph networks, behavioral analysis, consortium data and expert rules.checked 2 Oct 2026
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