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“We had various iterations of the drafts internally probably going back at least a decade, and just never made it to the finish line for various reasons,” he explained.
The board is hoping that the proposal drafts or more or less finalised, though there will likely be input from stakeholders during the comment period and at the hearing. One group that typically weighs in on such matters, the Association of Gaming Equipment Manufacturers, did not respond to a request for comment by Friday’s deadline for publication. Depending on the amount of feedback or potential objections from the Nevada Gaming Commission, the new standards could be adopted and published by year’s end.
Overall, it’s been a busy stretch for the board since the start of 2025. In that time the regulator has issued five multimillion-dollar anti-money laundering fines to entities on the Las Vegas Strip, an unprecedented run of sanctions for America’s gambling capital.
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Marantelli identifies White Swan and Susquehanna as two firms operating at industrial scale in parlays, with Jump Trading, Mojo and DL Trading among the possible leading group. Below them are numerous smaller syndicates, some managing between $5 million and $10 million, alongside sports-specific specialists.
Enda Kendrick, chief executive of service provider Veltium, similarly says the largest UK and European sharp-betting groups have moved rapidly into US prediction markets. He believes there are also more than 100 smaller operations, ranging from individual traders to teams of around 10, interested in entering the regulated US market.
Yet the presence of professional counterparties complicates the customer-facing idea that prediction markets merely allow users to trade opinions with one another. As Kendrick puts it, two ordinary customers are not going to place $10 million or $20 million behind the Philadelphia Eagles. Markets at that scale require institutions.
About Fruit Fiesta
“We need to establish a baseline, implement the change, measure it and see whether it goes up by 10%. If it only goes up by 1%, maybe we need another iteration because we haven’t fulfilled the objective.”
The next development is increasingly being driven by Cubeia’s customers. Now the company is asking what customers will want to do with AI, Grenstad explains.
“We [recently] started asking, ‘What does this mean for the customer? What can the customer actually do with this?’ And I think we would have continued looking for that answer if the customer hadn’t come to us and said: ‘Can we let our AI agent deal with your data streams and use your platform?'”
