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Brazil President Luiz Inácio Lula da Silva stated that, if it were up to him, online betting companies would be shut down.

During a livestream on Sunday, he said he had met with “eight victims of online betting”. To reinforce his criticism of the sector and in an attempt to win over conservative voters, he pointed out that one gambler had made 1,400 instant fund transfers (Pix) to a betting site. Lula criticised the Central Bank for failing to detect such a high volume of transactions to a single company.

However, that responsibility does not lie with the Central Bank. It is the role of the Secretariat of Prizes and Bets to monitor and regulate the sector. Betting companies submit detailed daily reports on bettors’ financial transactions with the sites. A specific module within Brazil’s betting management system detects recurring transfers.

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Genius founder and CEO Mark Locke this week touted Genius’ position as a provider of official data, settlement and integrity services to both traditional betting and predictions platforms.

“Through Legend and our wider media platform we help operators acquire the customers all of them are competing for,” he added in a personal LinkedIn post.

“That is why I see prediction markets as a net benefit for Genius. I believe they create more businesses to supply, more ways to monetise the same sports activity and more competition for the customers we help operators win,” Locke said.

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Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.

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.