We help entertainment and video game companies to build state-of-the-art personalization platforms and improve their products using AI-powered tools.

Use cases


Personalize in-game and in-app experiences

We use both traditional personalization models and innovative technologies such as reinforcement learning to optimize in-game and in-app offers and user experiences. Our solutions are designed to provide customizable balance between long-term and short-term results, customer engagement, and monetization.

Maximize customer lifetime value

Our experience personalization platforms provide unique models and algorithms for strategic optimization to maximize long-term customer engagement and value through a sequence of personalized interactions.

Prevent fraud

We create advanced models for detecting fraud related to virtual currency operations, loyalty points, and programmatic game playing. These models help to reliably detect the cases of fraud minimizing the impact on normal users.

Fine-tune the game balance

We develop reinforcement learning agents and other tools that help to fine-tune the game balance and solve other design problems. These methods provide significant improvement over the traditional methods.
Ready to improve your customer engagement?

Our clients


How our platform works

Plug-and-Play architecture
We use state-of-the-art technology to minimize the engineering effort and productization complexity. Our personalization platform can learn from app/game logs and iteratively produce action policies (decision making models) that can be deployed directly to production.
Array of analytics models
We create various AI/ML tools for app and game developers: fraud detection models, balance tuning, price optimization, and more. These tools help to improve productivity of the development and operations teams.

How to get started

We provide flexible engagement options to help you build a personalization platform faster. Contact us today to start with a workshop, discovery, or proof of concept.

We offer free half-day workshops with our top experts in marketing technology and customer analytics to discuss your customer intelligence strategy, challenges, optimization opportunities, and industry best practices.


If you have already identified a specific use case that can be solved using data science and other customer intelligence technologies, we usually can start with a 4-8 weeks proof-of-concept project to deliver tangible results for your enterprise.


If you are in the stage of requirements analysis and strategy development, we can start with a 2-3 weeks discovery phase to identify right use cases for customer intelligence and personalization, design your solution using industry best practices, and build an implementation roadmap.

Learn more

Personalizing in-game experience using reinforcement learning


  • Personalize in-game experience
  • Reduce model development effort
  • Increase long-term engagement / LTV

Grid Dynamics’ solution

  • Reinforcement learning based personalization platform
  • MVP delivered in 8 weeks


  • Up to 25% dollar-per-user improvement compared with the baselines
Read more on customer Intelligence and personalization

Would you like to learn more about economic and algorithmic foundations of customer experience optimization? We published a 500-pages book on enterprise data science that is available for free download, and there is a whole chapter on price and promotion management in it. 

Get in touch

If you have any additional questions, please feel free to reach out to our experts directly

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