Lobby placement
Choose where personalized rows appear and how recommendations are presented inside the existing casino experience.
Casino personalization
Personalized game discovery for every player.
Help players find relevant games sooner while keeping your existing catalogue and operating model.
Personalized lobby rows
How it works
Rank the catalogue for each player.
The model works inside the boundaries of the games already available to each player.
- 01
Understand the player
Use casino history and preference signals to build a relevant player view.
- 02
Rank available games
Match player preferences against metadata we have extracted and scored—including themes, features, and RTP—across 1,500+ popular games. The catalogue continues to expand.
- 03
Produce the output
Return the scores and ordering in a format ready for product and CRM channels.
CRM and player intelligence
Extend personalization beyond the lobby.
Use recommended games in lifecycle communication, while churn and player-value signals help teams decide who needs attention and why.
- Engagement movement
- Changing
- Churn risk
- Review
- Lifetime value outlook
- Prioritised
Email is one example. The operator chooses the channel and final action.
CRM example
Recommended games by email
Operator control
Keep control of every placement and campaign.
Casino AI returns ranked outputs and player signals for the product and CRM workflows you already operate.
CRM activation
Choose which recommendation and player signals support retention, reactivation, and lifecycle campaigns.
Since 2020
Built ahead of the market
From early deployments to modern Casino AI.
Initial deployments began when personalization in betting and gaming was still an emerging category. Today, that foundation is amplified by cutting-edge AI, stronger modelling, and richer behavioural data.