askblu.ai [Every Player Counts]
Created in 2017
- BETA
Up & running (A)
Existing signals show a regular activity Social networks
43 522 298 2 525 279Activities
Technologies
Entity types
Location
75008 Paris, France
Paris
France
Employees
Scale: 2-10, 51-200
Estimated: 15
SIREN
913725495Engaged corporates
14
1 13Added in Motherbase
3 years, 7 months ago
games 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 PredictionOriginal 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.
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