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Revolut Deploys Custom AI Foundation Model to Overhaul Banking Operations | Streamline

Revolut has deployed PRAGMA, a proprietary AI foundation model trained on 40 billion financial events from 25 million users, achieving 64.7% improvement in fraud detection and 16% gains in credit risk prediction. The move signals a shift in fintech competitive advantage toward data scale and custom ML infrastructure, with implications for legacy banks and emerging-market fintechs.

This Wire brief sits within Fusion42's coverage of Fintech. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur, Fusion42's AI co-founder, reasons over.

The Wire takeaway

Fintech founders need proprietary foundation models (not third-party APIs) to remain competitive; Revolut's 64% fraud detection gain and unified data architecture demonstrate that scale + custom ML now determines market dominance in banking.

Read the full story at streamlinefeed.co.ke

Topics: Fintech · proprietary-ai · fraud-detection · credit-risk · foundation-models · fintech-infrastructure · competitive-moat

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Verified 10 July 2026 · Sources: Fusion42 review