The Wisecracker Lightning

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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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Crucially, Curwen sees those efficiencies as a means to an end rather than the primary objective.

“That’s where I think Game in a Box becomes really interesting,” Curwen says. “The ambition isn’t to use technology to make average games faster. It’s to give talented creators the freedom to try more ideas and hopefully produce better games.”

As work on Game in a Box progressed, Yggdrasil began to see an opportunity extending beyond its own production process.

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“Giving bettors more ways to personalise their wagers around the players and moments they care about was a big takeaway from the tournament and one which continues to inform Kambi’s development of cutting-edge sports betting products,” Lamb says.

Kambi is now rolling out AI trading across other sports, including basketball, ice hockey and American football. Its longer-term ambition extends beyond automating established processes to using the technology to create products that could not previously be delivered at scale.

The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.