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Across 104 matches and more than 100 million bets, AI handled every stage of the pricing lifecycle – from ingesting data and creating the offering to managing liabilities and settling bets. The platform recorded zero downtime, delivered an operator trading margin of 18% and, during the final alone, processed more than one million unique bet combinations.

Kambi had set itself the ambitious target of delivering the entire tournament through AI. By the time Spain lifted the trophy, it had provided compelling evidence that automated trading could withstand the scale and intensity of sport’s biggest betting event while improving the experience offered to operators and their customers.

“The Fifa World Cup draws global attention in a way that no other sporting event can, and it was the best stress test of the technology we could have asked for,” says Oliver Lamb, SVP of trading at Kambi.

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Raja denies wrongdoing and maintains there was no fraud or dishonesty.

MFS operated as a non-bank lender—often termed a “shadow bank”—that borrowed funds from institutional investors to finance property loans for its clients.

The company experienced rapid expansion prior to its collapse, with its loan book reaching approximately £2.4 billion ($3.2 billion) by the end of 2024. Its creditors included major international financial institutions and private equity firms.

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But AI’s role goes much further. Swipe Games’ developers are each supported by multiple AI agents working around the clock on coding and other tasks.

“We have maybe seven people in the tech team, but it feels like we have 30 or 40 people in the team,” Yashin says.

The company also uses AI to accelerate operator integrations.