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The consumer battle in prediction markets is increasingly visible. Kalshi, Polymarket and newer entrants are expanding their sports products, while DraftKings, Flutter, Robinhood and a host of others are investing in exchanges, distribution and market-making capabilities.
In fact, behind those brands, a whole new sector is taking shape. Data and streaming suppliers, specialist market makers and technology companies are quickly invading the space.
The investment banking and capital markets firm Jefferies said in a September report that sports had become prediction markets’ “most important liquidity driver”, with combo and parlay-style contracts accounting for an increasing share of activity. But the analysts cautioned that prediction markets are scale businesses with relatively low revenue yields, leaving their economics dependent on sustained liquidity, engagement and trading activity.
What is Cashomatic?
He described the rapid growth of the illegal online market as one of the sector’s most serious challenges.
The bill would amend the Gambling Authority Act to align it more closely with the Financial Intelligence Act and Financial Action Task Force standards. Its memorandum says the changes are intended to strengthen anti-money laundering requirements and reduce financial crime risks.
The proposed amendments include provisions on beneficial ownership, financial and controlling interests, fit-and-proper-person assessments and know-your-customer requirements. They would also require Authority approval for the acquisition of a direct or indirect financial or controlling interest of 5% or more, unless a lower threshold is prescribed.
What is Cashomatic?
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.
