Many parameters can impact for the success of a mobile game: the difficulty of the stages, the interstitial ads display frequency, the value of rewards, etc. Tuning these parameters is already difficult and tedious for mobile games professionals. Solutions like A/B testing are just helping, nothing more. Even if you find the "right" tuning (optimum for most of the players) you'll end up losing players and revenue for delivering the SAME tuning to all players: ONE SIZE DOES NOT FIT ALL!

The key to unlock all the potential of a game is real-time (in-game) player personalization: setting the right tuning for each player in a game to enhance their experience and LTV (Life Time Value). To provide real-time player personalization at scale, you need to learn from the players' behaviors (using Machine Learning) and set up a whole infrastructure to communicate with the game and personalize parameters.

AskBLU.ai is an innovative project from Happy Blue Fish, an independent mobile gaming studio, one of the first "mobile game pure player". Happy Blue Fish was created in 2009 by Dominique Busso, former Mindscape CDO. The studio has released more than 30 educational and casual games under its own name and for major brands.

Like most game studios, Happy Blue Fish has been struggling to optimize game tuning. Dominique soon realized that the large diversity of player profiles was the key issue and the key solution towards improving game KPIs. The concept of BLU (Behavior Learning Unit) was born.

In 2017, Happy Blue Fish decided to invest in this new vision and develop a solution aimed at all gaming studios, publishers and producers. 2019 has been a pivotal year for Happy Blue Fish: 100% of its resources are allocated to askblu.ai.