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“Why not use the dataset I already have on gambling sites to map the most problematic ones, identify how they are connected and build a deeper picture of the networks behind them?” That thought process eventually gave birth to Trace2Trace.

Trace2Trace is relatively new, but Madsen says its underlying dataset has already grown to around 620,000. And it continues to grow, highlighting the scale of illegal operations in the gambling industry.

“We receive around 7,000 domains a day on average through the lists we monitor, including new and cloned sites,” he explains.

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“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.

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