End2End, a leading technology provider focusing on multiplayer bingo solutions, is set to unveil its proprietary Player Account Management (PAM) system at ICE Barcelona 2026.
This innovation allows End2End to offer a comprehensive bingo solution, enhancing its existing platform-agnostic integrations and catering to diverse operator needs.
The introduction of the proprietary PAM at Stand 2V10 provides End2End with greater flexibility to serve various operator profiles and support stand-alone deployments.
Founded and led by Alejandro Revich (pictured), End2End has cemented its reputation in delivering advanced multiplayer bingo technology in regulated markets. Pablo Bonifacich, CCO, will also be present at the event to discuss network collaborations and commercial opportunities.
End2End distinguishes itself within the multiplayer bingo vertical through its omnichannel architecture. This ensures a seamless multiplayer experience across mobile, online and physical retail environments. The platform supports both live bingo and RNG-based formats, offering operators the ability to adjust mechanics and pacing to suit different audiences and regulatory requirements.
Network liquidity is crucial in multiplayer bingo, and End2End’s technology is designed with network flexibility at its core. This enables inter-operator collaborations and shared liquidity models, maximising player pools while maintaining regulatory control.
End2End’s exclusive focus on multiplayer bingo ensures a specialised and innovative approach. The company actively supports operators with extensive operational knowledge to optimise configurations, network strategies and commercial performance.
Bingo remains a popular vertical in the casino ecosystem, serving as a strong acquisition tool and delivering high hold percentages.
Alejandro Revich says: “ICE Barcelona is the perfect stage to introduce our proprietary PAM. The entire industry comes together in Catalunya, making it ideal for demonstrating how our end-to-end bingo capability fits into real-world deployment models.”
