Fascinating: Revolut literally built Al but for money 😳

They didn’t train it on text. They trained it on how people actually use money.

Transactions. App clicks. Trades. Messages.

Billions of events, stitched into one timeline.

The AI then learned the “language” of financial behavior.

Every swipe, transfer, and tap became a “token.”

Every user history became a “sentence.”

And patterns started to emerge.

Think of it like a living map of your financial life 💸

Spending habits cluster.

Income patterns repeat.

Fraud signals stand out instantly.

The crazy part?

This replaces dozens of separate banking models.

→ Credit scoring

→ Fraud detection

→ Lifetime value

→ Product recommendations

All powered by one shared model instead of fragmented systems.

And the performance jump is fascinating:

↳ +130% lift in credit scoring precision

↳ +79% improvement in engagement prediction

↳ +64% better fraud recall

↳ Trained on 24B events across 26M users

This is not just a better AI model. It’s a whole different way to build a bank:

→ Old model: one problem → one model → one team

→ PRAGMA: one foundation → everything built on top

Which leads to something even bigger:

→ Credit decisions shift from static forms → real-time behavior

→ Fraud shifts from rules → pattern recognition at sequence level

→ Personalization moves from segments → individual timelines

Most importantly, we’re moving from banks that analyze transactions to systems that understand financial behavior.

And that’s a very different game.

We already have ClaudeOS for all knowledge work.

Revolut just presented RevolutOS, a new operating system for banking & finance.