Gargantoonz

What is Gargantoonz?

Brazil’s regulated betting market formally launched in 2025 and has since become one of the most closely watched regulatory initiatives in the global gaming and betting sector. Macorin, who also served as the SPA’s undersecretary for monitoring and enforcement, has been directly involved in initiatives to combat illegal operators, strengthen cooperation with financial institutions, telecommunications providers and other government authorities, as well as develop data-driven tools for regulatory oversight and enforcement.

Commenting on his election, Macorin expressed his honour at joining the IAGR board and contributing Brazil’s experience to the association’s international work.

“Brazil learned a great deal from the experience of regulators worldwide while developing our own regulatory framework, and I view the IAGR as one of the most important forums for this exchange of knowledge,” he stated.

About Gargantoonz

Clubs fear the measure will jeopardise revenue from betting company sponsorships. Corinthians (Esportes da Sorte), Palmeiras (Sportingbet), and São Paulo (Superbet) alone hold contracts worth BRL350 million annually with betting firms.

One concern is the measure might force clubs to host matches outside the city to maintain their advertising agreements.

Stakeholders have yet to determine their response to the bills, with educational campaigns and collective actions on the agenda. Coordination with political leaders in the city of São Paulo is also under way.

About Gargantoonz

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.