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Ravelin
Fintech · London, United Kingdom · Founded 2014
Fraud-prevention platform for online payments, both at merchant and PSP levels. Protecting millions of transactions worldwide on a daily basis MoreLess
Ravelin is a technology company specializing in fraud prevention for online merchants and payment service providers (PSPs). The company operates in the e-commerce and financial technology markets, offering a suite of solutions designed to detect and prevent fraudulent activities. Ravelin's core product utilizes advanced machine learning algorithms and link analysis to provide real-time recommendations for fraud and voucher abuse prevention. This technology helps businesses identify and mitigate risks with high accuracy and speed, ensuring secure transactions and reducing financial losses.
Ravelin serves a diverse range of clients, including online retailers, payment processors, and other businesses involved in digital transactions. The company's business model is primarily based on a subscription service, where clients pay for access to Ravelin's fraud detection platform and APIs. Additional revenue streams include consulting services and custom integrations tailored to specific client needs.
Ravelin makes money by offering its fraud prevention solutions on a subscription basis, with pricing tiers based on the volume of transactions and the level of service required. This model ensures a steady stream of recurring revenue while allowing clients to scale their usage as their business grows.
Keywords: fraud prevention, machine learning, link analysis, e-commerce security, payment service providers, real-time recommendations, risk mitigation, subscription service, digital transactions, financial technology.
Talent graph
Ravelin's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where Ravelin has talent and traffic
team presence
across markets
Market sentiment
What the market is saying about Ravelin
An AI-synthesized read of the highest-engagement posts about Ravelin on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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