Boost Casino Rolls Out ZingBrain AI Lobby

Boost Casino has entered into a partnership with ZingBrain AI to introduce artificial intelligence-driven game recommendations across its online casino platform.

Operating within the Entain portfolio, Boost Casino serves the Baltic-Nordic market with a pay-and-play model designed to streamline registration and payments. Through the collaboration, the operator has replaced its previously static, manually curated lobby with a dynamic recommendation system that adapts content to individual user behaviour.

The updated interface features a dedicated “Recommended” section that combines previously played titles with games identified as relevant through behavioural analysis and shared characteristics such as theme, gameplay mechanics and volatility.

In addition, a “Similar Games” pop-up has been introduced, appearing when players exit a title. This tool suggests alternative options with comparable attributes, aiming to expand discovery pathways within the platform.

According to the companies, the rollout followed an A/B testing period comparing the AI-powered lobby against the former static structure. During testing, Boost Casino reported growth in turnover and gross gaming revenue per player, alongside an increase in the number of unique titles played per user. Post-launch results were said to remain stable in the following months.

Over time, the recommendation features became a key channel for new game discovery. The initiative reflects a broader industry shift toward data-led personalisation, with operators leveraging AI tools to refine content presentation, enhance user experience and improve performance metrics.

Matteo Pacenti, Director of Product Management for Northern and Central Europe at Entain, described the implementation as a significant milestone in developing the casino experience, highlighting the smooth integration process and measurable improvements in core KPIs.

Oleg Smolerov, Chief Product Officer at ZingBrain AI, noted that the collaboration was marked by close cooperation and structured testing, adding that further optimisation opportunities are expected as the partnership develops.