Gaming companies' stack of tools mostly lean on demographics (who are the players) and events-based data (the actions taken), but these fall short in precise identification of critical patterns around cheating, churn, UA fraud, player skill level and more, leading to revenue loss. HOW players play the game is the missing element. Quago's ML-based technology serves as an additional layer, turning in-game device sensor data into powerful, real-time insights and predictions around cheating, churn, UA fraud, player skill level and more.