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Harrison Barrett, VP of business development, spoke to the iGB team at iGB L!VE 2026 to discuss the evolution of Soft2Bet’s MEGA platform, which started out as a purely gamification layer but has become “much more compelling than simply leaderboards, missions and point-based rewards”.

As Barrett puts it, MEGA is “ultimately a retention tool that helps our partners move away from heavy bonus and costs”.

With ice hockey and UFC-themed initiatives driving engagement in North America and a 45% lifetime value increase seen with the launch of MEGA Shoot, a player-versus-player simulation penalty shootout game initiative which launched during the World Cup, it is an exciting time for the Malta-based platform provider.

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“What we do believe is that basic principles should apply across all markets. These include protecting minors, providing effective self-exclusion options, promoting responsible advertising and ensuring that people affected by gambling harm can access support.

“ARGN will help to shape these principles into standards while allowing countries to implement them in ways that fit their local realities.”

When asked what responsible gambling measures the ARGN was seeking the implementation of, Akolade said the network wanted to establish minimum player protection standards across African markets and move responsible gambling requirements beyond paper-based rules towards measures that are actively enforced.

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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.