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Gaming AI Platform

Player behavior analysis and matchmaking AI increasing retention by 45%

Gaming7 monthsUnity, Python, PyTorch

Challenge

A competitive gaming studio with 2M+ active players was experiencing declining player retention and engagement:

  • Unbalanced matchmaking leading to frustrating player experiences
  • High churn rate among new players due to skill mismatches
  • Limited insights into player behavior and preferences
  • Manual game balancing taking weeks to implement

Solution

We built an AI-powered gaming platform that analyzes player behavior and optimizes matchmaking in real-time:

Smart Matchmaking

AI analyzes player skill, playstyle, and preferences to create balanced, engaging matches.

Behavior Analytics

Real-time analysis of player actions, patterns, and engagement to predict churn risk.

Dynamic Balancing

AI-driven game balance adjustments based on player performance data and meta analysis.

Personalized Content

Customized game modes, challenges, and rewards based on individual player preferences.

Technical Stack

Game Engine

  • Unity 2023.2
  • C# Scripting
  • Mirror Networking
  • WebGL

Backend & AI

  • Python FastAPI
  • PyTorch
  • MongoDB
  • Apache Spark

Infrastructure

  • AWS GameLift
  • Docker
  • Kubernetes
  • CloudWatch

Results

Player Retention

45% increase

in 30-day player retention rate

Match Quality

60% improvement

in match satisfaction scores

Engagement Time

38% increase

in average session duration

Revenue Growth

52% increase

in in-game purchases

Level Up Your Gaming Platform

Boost player engagement and retention with our proven gaming AI solutions.

BETA