RAZER AI GAME DEV TOOLS
AI QA COPILOT
Harness the power of AI for QA:
Efficient, Automated, and Cloud-Based
Boost the efficiency of your QA with our advanced AI QA Copilot, designed to streamline the testing process and help ensure a flawless game launch. During QA, the internal QA testers simply need to start the playtest while the tool automatically detects bugs, crashes, and performance issues—generating detailed reports complete with screenshots, clips, and event logs. Integrated as a plugin for Unreal Engine, Unity and custom C++ engines, and running on the cloud, it leverages real-time game events to deliver efficient, cost-effective testing.
UP TO
UP TO
UP TO
* Up to 25% More Bugs Identified, 50% Faster Testing Cycles, 40% Reduced QA Costs:
AI in QA
State of Gaming QA
Core Features
AI Bug Detection
Our cutting-edge AI Bug Detection feature for Quality Assurance (QA) in game development automatically detects a wide range of bugs during gameplay, ensuring a smoother launch and significantly accelerating your QA process.
It continuously monitors gameplay to identify and report issues such as crashes, freezes, performance bottlenecks, gameplay mechanics bugs, collision and physics glitches, graphics and visual anomalies, audio bugs, UX and UI glitches, progression and save errors, and networking or multiplayer issues.
By catching and addressing these bugs early, the tool helps deliver a more polished and stable game at launch, allowing QA teams to focus on more complex testing scenarios and ultimately enhancing the player experience.
Gameplay Capture
Razer AI QA Copilot features an intelligent automatic screen capture system that records a 20-second gameplay clip whenever a bug is detected during QA testing.
This visual recording is paired with a detailed analysis that compares the actual in-game behavior to the expected results, providing testers with a clear and contextual understanding of the issue.
By combining real-time visual evidence with descriptive diagnostics, this feature streamlines bug reporting, reduces ambiguity, and accelerates the debugging process—empowering QA teams to identify, reproduce, and resolve issues with greater precision and efficiency.
Reproduction Steps
The AI QA Copilot is an intelligent assistant designed to streamline bug identification and reproduction by automatically detecting anomalies during testing sessions, capturing the exact sequence of user actions, system responses, and environmental conditions that lead to a bug.
It generates a clear, step-by-step guide that testers and developers can follow to reliably reproduce the issue. This feature significantly reduces manual documentation, improves accuracy, and accelerates the QA-to-fix cycle, making it an essential tool for game development.
Insert New Bug
The Manual Bug Feedback feature in AI QA Copilot allows users to manually flag bugs that the AI either missed (false negatives) or incorrectly identified (false positives), helping ensure a more accurate and thorough QA process for game titles.
Through an intuitive interface being introduced shortly, users will be able to annotate gameplay with detailed bug reports, including severity levels, descriptions, screenshots, and reproduction steps. This feedback will feed into an upcoming retraining pipeline designed to continuously refine the AI model, improving its accuracy over time and reducing future errors to enhance the overall reliability and efficiency of QA efforts.
Ticketing Platform Integration
The AI QA Copilot with Jira integration streamlines bug reporting by automatically generating detailed Jira tickets for both AI-detected and manually reported issues. It compiles clear titles, reproduction steps, and screen recordings, all of which can be pushed to Jira with one click. This ensures comprehensive, consistent bug tracking while saving time and reducing manual effort.
Coming Soon
Performance Metrics
The upcoming Performance Metrics Monitoring feature in AI QA Copilot will allow users to track and analyze key system performance indicators like FPS drops, CPU usage, GPU load, and RAM consumption during QA testing.
It will provide real-time data capture and visual overlays to identify performance bottlenecks and hardware issues during gameplay. By correlating performance dips with in-game events, developers will be able to optimize their games for a smoother player experience. Metrics will be logged and visualized in an interactive dashboard for easy trend review, build comparison, and sharing insights with the development team.
Supported Game Genres
BETA
FPS
TPS
ALPHA
RPG
Fighting
MOBA
Your game genre is not listed up here? Please reach out to our team and request your game genre!
How it works
Join the AI QA Copilot beta program
Revolutionize your game development workflow with our cutting-edge AI-powered QA tools. Designed to give developers deeper insights and greater efficiency, our platform helps you deliver flawless gaming experiences with confidence. Take your game testing to the next level—streamline your QA process, catch issues early, and get launch-ready faster than ever.
Ready to elevate your QA game? Discover the power of AI-driven testing today and see the difference for yourself!