Taru Tech
Taru Tech provides an AI-powered predictive analytics platform that helps mobile game developers test and optimize unreleased content before launch. The platform trains custom AI models on each developer's existing game data to simulate thousands of player experiences, predicting engagement, difficulty, and churn points. The company reports that its technology can increase player retention by an average of 30%.
- Artificial Intelligence
- Gaming & eSports
- Data & Analytics
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Mobile game developers often release new content without reliable player data, relying on expensive and time-consuming human testing. This approach delays feedback loops, leaves churn points undetected, and forces studios to fix engagement and monetization problems only after a release has already underperformed.
Solution
Taru Tech offers an AI-powered predictive analytics platform that synthesizes player behavioral data for unreleased game content. The system uses a custom AI model built from a developer's existing released game content to simulate thousands of player experiences in a few hours. These simulations predict engagement, difficulty, and churn across new levels, features, or content updates. Developers can then eliminate problem areas and optimize gameplay parameters before launch, directly improving player retention and monetization without waiting for real-world data.
Target Audience
Primary customers are mobile game studios and developers who need to test, refine, and optimize unreleased content without relying on post-release data or large-scale human playtesting teams.
Features
- Custom AI models trained on each developer's released game content to reflect their specific player base
- High-volume player simulation that replaces human playtesting and accelerates iteration cycles
- Predictive churn-point identification that flags engagement and difficulty risks before release
- Automated difficulty-curve and gameplay-parameter optimization to sustain player engagement and drive monetization
- Retention-focused analytics that quantify expected uplift, with reported 30% average retention gains