Modular gaming technology platform Fincore has announced a strategic partnership with Sportradar, enabling operators to activate AI-driven insights in real time directly within their existing platforms. The integration helps operators close the gap between predictive intelligence and actionable execution. As a result, it improves personalisation, engagement, and promotional efficiency across both sports betting and casino.
Fincore TRI Ecosystem Supports Flexible Integration Across Operator Stacks
Fincore built its TRI ecosystem for modern gaming infrastructure and designed it around a modular architecture. Operators can integrate only the components they need. Instead of forcing full platform replacement, TRI connects seamlessly with existing player account management (PAM), gaming, and bonus systems. Additionally, it meets strict audit and access-control standards required in regulated markets.
Fincore also emphasised that its technology adapts to each operator’s environment, whether the business runs on a legacy stack or a newly built platform.
Sportradar VAIX Brings Real-Time AI Models and Player Predictions
Through the partnership, Fincore’s execution layer will now incorporate Sportradar’s VAIX solution—a suite of AI models that delivers personalised recommender tools and predictive player insights across sports and casino verticals.
VAIX operates in real time, tracking player behaviour during live events and triggering relevant recommendations, bonuses, and rewards while gameplay is actively unfolding. According to Sportradar, the system can generate high-accuracy forecasts within days of a player’s first activity. These forecasts include lifetime value projections, churn risk, deposit likelihood, and bonus recommendation triggers.
Closing the Gap Between Prediction and Execution
Fincore stated that the integration is designed to eliminate traditional friction points that often prevent operators from scaling AI personalisation. By combining Sportradar’s predictive intelligence with Fincore’s modular delivery framework, operators can deploy automated, data-driven engagement strategies without heavy internal development requirements. In addition, they can avoid disruptive infrastructure changes.
Mateja Popovic, CEO at Fincore, said operators are increasingly looking to embed best-in-class innovation directly into their core operations, rather than building everything in-house. She noted that the partnership enables Sportradar customers to act instantly on AI-driven insights. This supports faster personalisation and more efficient promotional strategies without disrupting existing systems.
Sportradar Targets Measurable Commercial Impact Across the Player Journey
Andreas Hartmann, VP Personalisation at Sportradar, highlighted that VAIX provides operators with real-time predictive intelligence across key player metrics, including activity levels, churn risk, lifetime value, and deposit behaviour. He added that integrating with Fincore TRI was a natural fit. This integration allows Sportradar’s AI models to deliver measurable commercial value through deeper and faster personalisation.
Driving Faster, Smarter Personalisation in Sports and Casino
By combining Sportradar’s AI insight capabilities with Fincore’s modular execution infrastructure, the partnership aims to deliver more precise player targeting and automated bonusing that can be measured commercially. Both companies positioned the collaboration as a solution for operators seeking scalable personalisation. Notably, they can achieve this without the integration overhead that has traditionally slowed adoption.
The integration strengthens both companies’ roles in supporting next-generation operator engagement tools, where real-time data and actionable AI are increasingly central to retention and revenue growth strategies.
