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“Here’s an API. Bernard and 88 other people can market-make all these request-for-quotes (RFQs),” Marantelli says. “Some people might come in and just do esports because they’re esports experts. Others do everything. Some focus on same-game parlays. But it’s a sportsbook.”

The institutional layer is largely invisible to customers presented with a P2P proposition. Retail users may technically trade against one another, but the depth required by a mass-market product cannot be supplied by occasional customers alone. Professional firms must be prepared to quote continuously and commit substantial capital.

Marantelli says the London-based White Swan is a significant market maker on several secondary exchanges, accounting for as much as 40% of activity on some platforms. Its particular focus is the RFQ, parlay market.

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It now faces a broader question: how should the organisation work when coding is no longer the main constraint?

“We’re doing this 100%,” COO Stefan Grenstad says of Cubeia’s AI-driven development process.

Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.

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Digital gross gaming revenue represented 64.5% of the parent company’s total in H1, up 3.6 percentage points from the previous year.

Registered customers increased to approximately 2,672,000 at the end of June, an increase of around 50,000 from the previous year.

For the first half of 2026, lottery and land based gaming generated €317.9 million in gross gaming revenue, remainin flat compared with H1 2025.