askblu.ai [Every Player Counts]
Entity
Description
  • Value proposition

    SaaS Real-Time Data Science for Mobile Games - Predict & Personalize iIN-GAME to increase players' engagement and LTV

    Machine Learning can dramatically increase player’s engagement and LTV across many mobile games, but its widespread adoption is hampered by a lack of suitable machine learning infrastructure (MLOps), which in turn leads to high costs, over dependence on cloud platforms and network availability.

    To remove these barriers to AI for mobile games, askblu.ai is a SaaS Data-Science platform built on 2 simple but revolutionary pillars.

    - First, it provides Real-Time “in-game” inference and prediction, at the player-level, because the best time to act (change a stage difficulty, personalize an offer, adapt the ads pressure...) is when the player is in a session.

    - Second, it computes players’ variable and builds machine learning models from very few events, familiar to producer and game designer, not data scientist, in a robust Unity SDK, without using any personal data or IDFA.

    askblu.ai state-of-the-art Real-Time Data-Science platform will revolutionize AI for mobile games.

    Designed by data scientists and mobile game designers and developers, askblu.ai platform enable game teams to build or use machine learning solutions, trained with their own data, and push models into production and deploy them faster, more privately, and cost efficiently than ever before.

    Mobile game studios can either get their own custom solution (work-for-hire), or adopt “Plug&Play” solutions and use AI to increase their players’ engagement and LTV, thus their revenues.

    mobile games, analytics, retention, machine learning, casual games, Hypercasual, SaaS, Match3, Churn, and Prediction

  • Original language

    SaaS Real-Time Data Science for Mobile Games - Predict & Personalize iIN-GAME to increase players' engagement and LTV

    Machine Learning can dramatically increase player’s engagement and LTV across many mobile games, but its widespread adoption is hampered by a lack of suitable machine learning infrastructure (MLOps), which in turn leads to high costs, over dependence on cloud platforms and network availability.

    To remove these barriers to AI for mobile games, askblu.ai is a SaaS Data-Science platform built on 2 simple but revolutionary pillars.

    - First, it provides Real-Time “in-game” inference and prediction, at the player-level, because the best time to act (change a stage difficulty, personalize an offer, adapt the ads pressure...) is when the player is in a session.

    - Second, it computes players’ variable and builds machine learning models from very few events, familiar to producer and game designer, not data scientist, in a robust Unity SDK, without using any personal data or IDFA.

    askblu.ai state-of-the-art Real-Time Data-Science platform will revolutionize AI for mobile games.

    Designed by data scientists and mobile game designers and developers, askblu.ai platform enable game teams to build or use machine learning solutions, trained with their own data, and push models into production and deploy them faster, more privately, and cost efficiently than ever before.

    Mobile game studios can either get their own custom solution (work-for-hire), or adopt “Plug&Play” solutions and use AI to increase their players’ engagement and LTV, thus their revenues.

Corporate interactions BETA
Corporate TypeTweets Articles
Ubisoft
Ubisoft
IT services, Computer Games
Ubisoft
IT services, Computer Games 		Other

1 Aug 2019


Région Bretagne
Région Bretagne
National and local authorities, Government Administration
Région Bretagne
National and local authorities, Government Administration 		Other

26 Mar 2021


Roland Berger
Roland Berger
Consulting, Business Consulting and Services
Roland Berger
Consulting, Business Consulting and Services 		Other

15 Sep 2015


Gameloft
Gameloft
IT services, Computer Games
Gameloft
IT services, Computer Games 		Not capitalistic
Not partnership
Event

20 Nov 2010


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