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.


About Revolut


improvement over industry standards within one year of Couchbase


saved with Couchbase


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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