Case Study: Kaizen Gaming achieves real-time AI personalization, sub-minute withdrawals and 14% revenue growth with Microsoft Azure

A Microsoft Azure Case Study

Preview of the Kaizen Gaming Case Study

Kaizen Gaming, one of the fastest growing GameTech companies in Europe, embraces AI to redefine the player experience

Kaizen Gaming, founded in 2012 and now a leading GameTech company with 1,000+ employees operating under the Stoiximan and Betano brands across six countries, needed to deliver a smoother, more personalized player experience to build loyalty in a crowded market. The company faced limitations in data access and processing—only six days of historical data and lengthy dataset builds—which constrained its ability to use AI effectively for personalization and operations.

Kaizen implemented Microsoft Azure services (Data Lake, Databricks, Azure Machine Learning and related cloud tools) to enable real-time analysis, faster model training and on-demand scaling. The solution cut dataset preparation from days to hours, automated fund withdrawal reviews from 30–60 minutes to under a minute, and improved sportsbook personalization, driving a 14% increase in revenue.


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Kaizen Gaming

Aris Dimarakis

Chief Technology Officer


Microsoft Azure

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