Funky Buddha

About Funky Buddha

By aligning with the NFL, Codere seeks to leverage marquee live events to boost customer engagement and enhance its offerings through unique fan experiences.

Mexico is one of the NFL’s most important markets outside the United States and a core market for Codere Online.

It remained Codere Online’s largest market in Q2, generating €36.1 million in NGR, a 24% year-on-year rise. Chief Executive Aviv Sher said the company would continue investing as the market grows more competitive.

What is Funky Buddha?

Set on a 5×4 grid with 40 paylines, the reels feature returning favourites alongside new characters like the Ticket Master, Bomber, and Pyromancer. The Nuclear Wild feature can trigger at any spin, locking onto reels and detonating into full wild reels for powerful wins. Land 3 or more Bonus symbols to enter the bonus round, where each symbol adds a multiplier and 3 spins. New symbols reset the spins, while Ticket symbols push the train forward through stations, carrying it deeper across the wasteland toward its final destination. With relentless progression, layered features, and explosive potential at every turn, Money Train 5 offers win potential up to 50,000x the bet in Standard Mode, rising to 100,000x in Ultra Mode.

What is Funky Buddha?

“We [recently] started asking, ‘What does this mean for the customer? What can the customer actually do with this?’ And I think we would have continued looking for that answer if the customer hadn’t come to us and said: ‘Can we let our AI agent deal with your data streams and use your platform?'”

One customer built its own casino landing page and wanted to use Cubeia’s APIs to make it work with the platform. “Another wanted to use Cubeia’s player account management system to build its own functionality, including personalised bonuses,” Grenstad recalls.

The idea is less about Cubeia providing another AI tool than making its platform and data accessible to AI infrastructure customers are already building themselves. Cubeia is now running a pilot based on the landing-page use case.