Razer Unveils AI-Powered Game Development and Assistance Tools

Razer Wants to Be Your Copilot. New Developer Tools May Bring More AI to Games

You may or may not care about Razer's developer tools but there are a couple that might affect you as a gamer: two AI helpers tucked into WYVRN, its new, all-in-one software developer kit. Those two tools are Razer QA Copilot, which streamlines bug detection and resolution, and Razer Game Copilot, which debuted at CES as Project Ava. QA Copilot is really intended for game developers. It's designed to manage the QA process -- automatically tracking and reporting the bugs you run into as a tester. This can potentially lower the friction that makes a gamer decide not to participate as well as make life easier for professional QA testers. Razer QA Copilot joins the ranks of the in-development, in-game AI advisors intended to provide custom advice, taking into account where you are in gameplay and ways to improve performance. It requires adoption and training by game developers. Since its preview, it's also been trained on new game genres, such as fighting and action RPGs. There were some developer kit updates that you'll probably see the results of in the future, such as incorporating height into Chroma to reflect altitude in the game, expanding its Sensa HD haptics to racing games, notably for its Frejya haptic chair cushion.

Razer launches new Wyvrn game dev platform with automated AI bug tester

Razer is getting into AI with a new developer platform called Wyvrn. It encompasses dev-focused automation tools like the Razer AI QA Copilot to assist with quality assurance / game testing and the AI Gamer Copilot (formerly called Project Ava) for real-time tips and guides via voice assistant while playing games. Wyvrn (pronounced "wyvern," like the mythical creature) will also be an umbrella for Razer's next-gen Chroma RGB platform, a new THX Spatial Audio Plus game plug-in, and Razer's Sensa HD Haptics software. The most consequential of Razer's new tools is the AI QA Copilot. It's a cloud-based plug-in for Unreal Engine, Unity, and bespoke engines in C++ that's designed to reduce the time and cost of manual quality assurance testing through AI. Quality assurance is a labor-intensive process for any video game, involving many hours of testing and manually logging glitches in need of fixing. The AI assistant can watch a game being tested, automatically find bugs or performance issues like frame rate drops, and create a QA playtest report with both its findings and any bugs manually tagged by the tester. Razer claims that its AI can identify 20 to 25 percent more bugs compared to manual testing, and this can reduce QA time by up to 50 percent as well as cost savings of up to 40 percent. After playtest reports are generated, the AI QA Copilot is designed to learn from the tagged bugs to get "smarter" and more effective. What will happen to the employee headcount in QA teams if these tools are introduced and proven successful? It's perhaps not difficult to imagine. And Razer is already partnering with game dev services company Side (formerly PTW) to integrate the AI QA Copilot into its in-house QA teams. The other big component of Razer's dabbling in AI is its upcoming and very uniquely named AI Gamer Copilot. It's an AI-based voice assistant that's designed to watch you play and give you live, on-the-fly tips for tactics in competitive multiplayer games like MOBAs or strategies on how to take down difficult enemies in single-player games like Black Myth: Wukong. My colleague Sean Hollister and I saw a brief demo of this at CES while it was called Project Ava, and it seemed... interesting. The retiring of its "project" moniker means it's destined for an actual release. Razer's other, non-AI announcements pegged under the Wyvrn platform include its Razer Sensa HD Haptics, which is now getting a sim racing game integration in partnership with SimHub. That means users of its Freyja haptic chair cushion and Kraken V4 Pro headset can get multidirectional, multidevice haptic feedback in games like Assetto Corsa Evo. Razer claims Sensa haptics are now in over 100 supported titles, with the promise of more to come. And lastly, Razer is introducing a THX Spatial Audio Plus plug-in for Wwise. It's an open-source format alternative to Dolby and DTS, offering more immersive 3D audio in games.

Razer's new AI-powered bug detector could help games release faster

Razer has announced a new AI-powered game development tool called AI QA Copilot, which aims to help QA testers find and report bugs faster. A faster QA cycle could help developers get games out of the door in less time too so if it works well, it would be good for everyone. Bugs appear everywhere in games during development -- they're impossible to avoid. QA (Quality Assurance) teams are dedicated to finding problems and creating detailed reports to help get things fixed faster. Recommended Videos Whenever a tester finds something in a game that's clearly broken or doesn't look quite right, they write up a bug report. This includes a summary of the problem, a detailed description, plenty of screenshots and recordings, log files, and a priority assessment. One of the most annoying things about a bug is reproducing it -- there are so many factors that could be affecting the game that it can be hard to make a bug you saw once appear again in the same way. To help speed up the process, bug reports also contain a lot of information about the environment the bug occurred in and the potential causes. This includes the device type, operating system, configurations, and detailed descriptions of what the tester was doing when the bug happened. It's slow and careful work and the more detail you put in, the better. Razer's AI QA Copilot, however, is designed to automate this whole process. While testers play through the game, it tracks bugs, crashes, and performance issues, generating detailed reports containing all the points described above, including recordings, screenshots, and even potential steps for reproduction. This gives testers the freedom to focus on finding more bugs, and by adding their own notes to the generated reports, they can increase the level of detail while reducing the time. Like most AI tools, it's designed to work in tandem with human testers and its work should always be reviewed. An AI can learn to predict and recognize patterns but it doesn't understand the purpose of a game or what it's trying to achieve -- so it could definitely flag things inaccurately sometimes. In the world of QA, however, a few mistakes from the AI tool wouldn't be enough to diminish its value. Bug reports are truly time-consuming and if Razer's QA assistant could save a bit of time on most reports, the results could be significant.

It's not for PC gamers but Razer's new AI QA Copilot could ultimately benefit every PC gamer out there, and it's looking like it could be a killer app that AI needs right now

And there's a good chance that it becomes an example of AI improving someone's job, not replacing it. Making a big game that will stand out from the crowd and sell well requires many things to be exactly right. Alongside designing and building the story, graphics, and gameplay, developers have to battle through endless bugs -- from a simple animation not syncing correctly to something that ultimately breaks the whole game. Any tool that can make the whole process of tracking and squashing bugs easier and quicker is going to be of interest to any developer, and now there's a new one on the market from the most unlikely of companies: Razer. Yes, that Razer. The one that makes mice, keyboards, chairs, RGB lights, all that kind of stuff. So what on Earth are they doing making quality assurance software for game developers? To answer that question, we only need to go back in time a few months to the CES event in January, where Razer launched Project Ava, an AI-powered gaming buddy that gives you help, directions, and sassy advice during a game. Razer told me game developers had inquired whether it could be used to do the same for programmers and testers and that ultimately led to what I saw at the GDC -- AI QA Copilot, part of Razer's new software ecosystem, Wyvrn. Essentially, it's an automated system that will identify bugs during game testing, generating information about the nature of the bug, steps to replicate it, and capturing footage of the issue in question. It then gets entered into a database and flagged with a suitable severity level. The AI model is trained specifically for different genres of games, so a different model is used for a MOBA shooter than for open-world first-person RPG. I watched a demonstration of it in action and while it was clearly a 'staged' scenario, it was detailed enough to capture a range of bugs, such as failing a hitbox check, incorrect damage being applied, an animation bugging out, and so on. It was certainly better than something very similar to Razer's system that I also saw briefly showcased at the GDC: Nvidia's own AI QA bug assessment system. From a QA tester's perspective, Razer's system takes over the parts of the role that could be deemed tedious or time-consuming, such as the logging and tracking of the bugs themselves, leaving more time for exploring either more of the game or just going back over the bug again and again to confirm the issue. While Razer's system can't actually fix any bugs, it will eventually be able to offer suggestions on how some may be resolved. One concern I have is that AI is well-known for being a tad unreliable at times and I'm certain there will be times when the system will generate false positives or incorrectly identify the steps that created the fault in the first place. I also wonder if Microsoft might have something to say about it being called AI QA Copilot. But if it all works as intended, and it's as popular and successful as Razer hope it will be, then gamers are the ones who are going to ultimately benefit from anything developed with AI QA Copilot helping things along the way. Just think about how many PC games launch these days with a raft of bugs -- even if Razer's model only helps reduce this by 30%, for example, it'll be a very welcome change.

Razer's 'Project Ava' joins the AI copilot race, but the tech still has a lot to prove

TL;DR: Razer's new AI assistant, Project Ava, promises real-time coaching, gameplay and technical support - but whether it can keep up with competitive play remains to be seen. Razer has unveiled its latest AI-powered venture, Project Ava, which aims to become the smartest gaming companion ever created. Credit: Razer Originally announced at CES 2025, ProjectAva provides features that aim to assist the player with every aspect of the experience in-game. In-game walkthroughs allow the user to ask questions and get advice on how to progress through missions while in the game. One-click PC optimization claims to offer expertise with optimizing your game's graphics settings. Real-time esports coaching offers competitive analysis and insights to improve the player's performance in multiplayer experiences. The focus on competitive play is the key differentiator for Razer's gaming copilot. The video example showcases the assistant pointing out enemy rotations in a game of League of Legends, and real-time instruction on how to counter a boss in Black Myth: Wukong. The focus on multiplayer, e-sports style applications is the backbone of the copilot's pitch. While the demonstrations are impressive, the real question is whether any of it will actually work. For Project Ava to be useful in serious play, it would need to understand the context and nuances of competitive gameplay - and do it all in real time, with enough speed and accuracy that a player could act on its insights mid-match. That's a huge ask. Competitive interactions often unfold in milliseconds, with players making snap decisions based on instinct, muscle memory, and years of experience. For an AI assistant to keep up, it would need a deep, frame-by-frame understanding of gameplay, along with near-instantaneous processing and response times. Credit: Razer That's where the limitations start to show. Even today's best AI models can struggle with basic tasks like summarizing a web search (just look at Google's AI overviews). Voice assistants still introduce noticeable latency - enough to make real-time advice feel too slow to be useful in high-stakes play. The idea that an AI copilot could reliably slot into that kind of fast, instinct-driven gameplay feels optimistic right now, and maybe more aspirational than practical. In the scenario where it does work - AI-powered sidekicks pose some interesting questions for both the future of competitive gaming. How might online play look if everyone has a 'guy in the chair', that's aware of, and offering strategic recommendations in every interaction? Microsoft recently unveiled Copilot for Gaming and NVIDIA's G-Assist, which offer similar functionalities - with their own differences. As to whether Razer, Microsoft, and NVIDIA can actually pull it off - we'll find out as their rollouts continue later in 2025.

Razer Says Its New AI Can Make Game Development Quicker and Cheaper - but Insists Humans Still Need to Be Involved

How Razer's upcoming AI is trying to take the tedium out of the QA process. Most of us know Razer for its extravagant gaming peripherals with RGB lights and high-end keyboards, mice, headsets, and controllers. But it's stepping into new territory in games with its AI tech. I checked out what was previously called Project Ava at CES 2025, an in-game AI assistant that works like a real-time guide or esports coach, but it was in a very early stage. While that has been officially re-revealed as Razer AI Gaming Copilot and is still in development, the project that could have a larger impact is the Razer AI QA Copilot. It's a program with an AI assistant built to streamline the quality assurance (QA) process in game development. The AI model is trained to detect and log bugs in real time as QA testers play the build of the game. It will also record clips of the moments it detects bugs so testers can see what happened and document log entries through video. This would let testers better determine if certain log entries are actually bugs or not and form their reports accordingly. You can watch the Razer AI QA Copilot in action in a short video teaser. Razer said that it is intended to alleviate the more tedius aspects of the QA process and make it more efficient for testers and development teams. It's not intended take the human element out of the process since AI simply cannot do the things an actual QA tester can do - like play the game itself, replicate the actions that trigger bugs, or evaluate the qualitative aspects of bug reporting. Razer states that QA takes about 20% to 30% of development costs and one-third of development time is spent on QA, and QA Copilot is said to be able to identify 20% to 25% more bugs while accelerating test cycles by 30% to 50%. It also claims that AI Copilot can reduce a game's time-to-market by 15% and bring cost-effective savings of 40% for teams. QA Copilot uses a form of spot detection, pinging its cloud servers at critical moments so it's not constantly running in the background, which can theoretically keep energy consumption and total costs lower than they would otherwise. The program is built to be a plug-in for existing game engines such as Unreal Engine, Unity, and custom engines through C++. It can track technical performance which includes frame rate, load times, and memory usage. There will also be genre templates so QA Copilot can better detect bugs for specific types of games. Of course, development teams and games themselves are built differently so the actual impact would vary, also because Razer AI QA Copilot is still in early stages. The program will begin beta testing at the end of April for development teams, and Razer says it's building the QA Copilot alongside devs to make it smarter and make sure it works as intended. It's worth remembering that the way AI models are used today may not be the way they are used in the future. And in light of a constant barrage of industry layoffs and jobs being lost, any use of AI should be met with a level of skepticism, especially in creative fields such as game development. Just take a look at the leaked Sony video of an AI model performing as the Horizon's series' lead character Aloy, and actor Ashly Burch speaking out about it. QA is an entirely different process of game development, but the human element that should not be lost.