Fincore integrates TRI Platform with Sportradar’s VAIX Personalization AI

By | April 15, 2026

Fincore and Sportradar have announced an integration connecting Fincore’s TRI Platform with Sportradar’s VAIX Personalization AI, with the companies positioning it as a way for operators to act on AI-driven insights in real time within existing stacks.

Under the deal, VAIX’s recommender models and player insight predictions are delivered into Fincore’s TRI ecosystem, which the company says can plug into existing PAM, gaming and bonus systems. The companies said the setup is intended to avoid “wholesale replacement” while meeting audit and access-control requirements in regulated markets.

Sportradar said VAIX monitors player behaviour in real time and can trigger recommendations and rewards during live play across sports. The company also said that within days of a player’s first activity, VAIX generates forecasts including lifetime value, churn risk, deposit likelihood and bonus recommendations.

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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