

(AsiaGameHub) – Fincore and Sportradar have revealed a strategic partnership to integrate Fincore’s TRI platform with Sportradar’s VAIX personalization AI suite. The collaboration is intended to enable betting and gaming operators to leverage AI-powered insights instantly within their current platforms.
According to the companies, the TRI ecosystem is built to connect with existing player account management (PAM), gaming, and bonus systems without the need for a complete platform overhaul. It is also designed to meet the audit and access-control standards of regulated markets.
Sportradar stated that its VAIX suite offers AI models that generate personalized recommendations and predictive player insights for both sports and casino verticals. These insights include forecasts for customer lifetime value, churn probability, likelihood to deposit, and ideal bonus offers. The company noted that VAIX functions in real time, analyzing player activity to deliver relevant recommendations and rewards during active gameplay.
Mateja Popovic, CEO at Fincore, said: “The technology landscape in gaming is evolving and operators are increasingly seeking to embed best-of-breed innovation directly into their core operations.
“Our partnership allows Sportradar customers to act on powerful AI-driven insights instantly, closing the gap between prediction and execution. By enabling personalised and automated recommendations and rewards without disrupting existing platforms, we are helping operators unlock greater engagement and more efficient promotional strategies that help them stand out.”
Andreas Hartmann, VP Personalisation at Sportradar, said: “Our AI platform gives operators a decisive edge in player engagement and retention, delivering highly accurate predictions on player activity, lifetime value, churn risk, deposit behaviour and more per user, in real-time.
“With Fincore’s TRI platform supporting real-time and deep personalisation, integration was a natural fit, allowing us to turn our industry-leading AI models into measurable commercial impact for the operator, across the user journey.”
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