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It is an eclectic list, but that’s kind of the point. Relevance can mean a global sporting event in one market and a far more niche (see ice cage fighting) obsession in another. Splash Tech’s job is to find the experience that fits the audience, rather than expecting the audience to fit the product.
If free-to-play builds familiarity, Splash Tech’s jackpot engine is intended to provide a common thread across an operator’s offering, even when the games themselves come from dozens of competing studios.
“A jackpot engine is a rare product in that you can brand that engine and it will sit across all of your content,” Wilson says. “As an operator, you might have 50 different game suppliers. On every single game that you’re serving, you can show a branded jackpot.”
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The difference is all about the risk function. A sportsbook employs traders to price bets and manage its exposure. An exchange provides an API through which firms compete to quote prices and supply liquidity.
“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.
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The 2026 World Cup was therefore the culmination of five years of development that had embedded AI throughout Kambi’s trading operations.
“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.
The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.