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How to play Extremely Hot
Its findings contained an all-too-familiar combination of ineffective systems, delayed interventions and inadequate source-of-funds controls. One customer placed approximately 4,800 bets in one day and 7,000 the next without being flagged. Another, whose payslips showed monthly earnings of about £2,000, deposited and lost £9,000 in four days.
“What is striking here is the level of activity that apparently failed to trigger effective intervention,” Williams says. “These were obvious indicators requiring further scrutiny, and it is difficult to understand why they did not result in more effective intervention.”
He adds that the recurring weakness is often not an absence of policies but a failure to ensure “technology, algorithms and operational processes actually work in practice”. Some of the QuinnBet issues followed a platform migration, underlining the need to retest controls whenever systems change.
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The cycle eventually became extreme.
“At one point, I had only a few thousand euros left to gamble with, but then I won €180,000 in a single day. The next day I lost it all again,” he says.
“The day after that I won €150,000 – and lost that too.” That was the point at which he decided something had to change. “I thought to myself: This has gone too far.”
How to play Extremely Hot
One customer built its own casino landing page and wanted to use Cubeia’s APIs to make it work with the platform. “Another wanted to use Cubeia’s player account management system to build its own functionality, including personalised bonuses,” Grenstad recalls.
The idea is less about Cubeia providing another AI tool than making its platform and data accessible to AI infrastructure customers are already building themselves. Cubeia is now running a pilot based on the landing-page use case.
This was not necessarily on the horizon just six months ago, Grenstad says, but now he believes Cubeia should ultimately be able to “say yes” when customers arrive with products built using their own AI tools.