Revolut leverages proprietary models to drive long-term growth
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On October 10, 2026, Revolut CEO Nik Storonsky said the company is using customer transaction data to train proprietary models to drive long-term expansion. Revolut currently processes 30 million to 40 million transactions per day. The company's PRAGMA model has been trained on data from 25 million users across 111 countries, including 40 billion transactions, app interactions, and financial events. The model is used to assess the likelihood of fraud, credit risk, and customer churn.
AI-written from reports · updated 7 days ago
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- PYMNTSRevolut CEO uses proprietary models to drive long-term growth
Revolut CEO Nik Storonsky said the company is using customer transaction data to train proprietary models and drive long-term expansion. Revolut processes 30 to 40 million transactions every day; its PRAGMA model has been trained on 40 billion transactions, app interactions and financial events involving 25 million users across 111 countries, and is used to assess the likelihood of fraud, credit risk and customer churn.