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nunu.ai

Automated game testing platform using multimodal agents to streamline QA, reduce costs, and deliver actionable insights for developers.

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Product Overview

What is nunu.ai?

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nunu.ai provides a comprehensive solution for automating game quality assurance by deploying advanced multimodal agents capable of navigating and testing complex 3D environments. These agents mimic human play by analyzing rendered frames and executing real-time inputs, enabling thorough end-to-end testing across PC and mobile platforms. The platform eliminates the need for manual scripting, offers easy integration via SDK or black-box testing, and adapts automatically to game updates. Detailed reporting and real-time dashboards help developers identify bugs and optimize gameplay, while multiplayer and player simulation capabilities further enhance testing coverage.


Key Features

  • Human-like Multimodal Agents

    Agents interact with games visually and through controls, simulating real player behavior to uncover bugs missed by traditional methods.

  • Real-Time Reporting & Insights

    Provides detailed, interpretable reports and live dashboards for immediate feedback on test outcomes and agent decisions.

  • 24/7 Scalable Automation

    Runs continuous, automated testing at scale, reducing manual QA costs by up to 50% and freeing up QA teams for higher-value tasks.

  • Easy Integration & Minimal Maintenance

    Seamlessly integrates via lightweight SDK or black-box testing, with agents adapting automatically to game changes without manual intervention.

  • Multi-Platform & Multiplayer Support

    Supports PC and mobile games (iOS/Android), with the ability to simulate multiplayer sessions by spawning multiple agents.


Use Cases

  • Automated End-to-End Game Testing : Game studios can automate comprehensive QA for PC and mobile titles, ensuring consistent coverage and faster release cycles.
  • Multiplayer Simulation : Simulate real player interactions in multiplayer environments to test game balance, stability, and edge cases.
  • Continuous Regression Testing : Run ongoing tests after updates or patches to quickly identify and resolve new bugs or regressions.
  • Player Behavior Simulation : Model diverse player strategies and actions to stress-test game systems and improve overall gameplay experience.
  • Performance and Scalability Testing : Evaluate game performance under various conditions and player loads using scalable agent deployment.

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