About this app
What is Color Game?
“You can go the combative route and ban something that’s federally regulated,” he said. “But what you’ll end up with is a bunch of customers in Texas just going offshore.”
The committee also heard from Brianne Doura-Schawohl, a nationally recognised problem gambling expert. One study cited by Doura-Schawohl found that 52% of Gen Z respondents include sports betting and prediction markets as part of their long-term financial plan.
She also criticised a Kalshi competitor for offering a function that allows minors over 17 to link an investment account with the ability to buy and sell event contracts. A former legislative director for the National Council on Problem Gambling, Doura-Schawohl described the opportunity as “very dangerous” for teenagers susceptible to harm.
What is Color Game?
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.
“Just better margins,” he says of that decision. “I think it’s more defendable. It’s the area that fewer people can do well. So I think it’s more defendable margin, more ability to get long-term contracts and beneficial positions.”
Singles can be profitable, but parlay pricing requires the market maker to calculate the correlations between multiple outcomes and respond dynamically to individual requests. It is a skill set built over years in the sharper regions of the existing sports betting ecosystem.
How to play Color Game
Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.
Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.
“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.
