Revolut - Revolut uses machine learning to strengthen fraud detection

The UK fintech company Revolut developed Sherlock, a machine learning-based fraud prevention system, to counter the growing threat of financial fraud. Sherlock continuously and autonomously monitors card users’ transactions, and if it finds a suspicious transaction it sends the user a push notification for their approval. Revolut selected Couchbase because of its inherent architectural advantages – including speed, agility, and scalability – that address the ever-changing data needs of users and merchants.

Couchbase

About Revolut

75%

improvement over industry standards within one year of Couchbase

$3M+

saved with Couchbase

96%

of fraudulent transactions caught

For our customers, the loss of $100 can mean the difference between a pleasant holiday and an experience filled with frustration and resentment. Couchbase has never failed us or our customers.

Dmitri Lihhatsov Financial Crime Product Owner, Revolut

Maccabai logo Use case

  • Fraud detection
  • User profile store
  • Digital communication
  • Caching

Maccabai logo Key features

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