
Origin Lab raises $8M to help video game companies sell data to world-model builders
Quick Answer
Origin Lab has secured $8 million in seed funding to create a marketplace connecting video game companies with AI labs needing high-quality training data for world models.
Quick Take
Origin Lab has secured $8 million in seed funding to create a marketplace connecting video game companies with AI labs needing high-quality training data for world models. The startup aims to transform video game assets into usable training data, addressing a critical data shortage for AI systems interacting with the physical world.
Key Points
- Origin Lab's funding round was led by Lightspeed Ventures and included participation from several notable investors.
- The startup will facilitate the sale of video game data to AI labs like AMI Labs and World Labs.
- Video game companies can monetize existing digital assets by providing data for AI training.
- Origin Lab aims to bridge the gap between AI labs and the video game industry for data sourcing.
- The success of data vendors in AI highlights a growing market for training data solutions.
📖 Reader Mode
~3 min readAs AI begins to interact with the physical world, new types of labs are working to build world models that could be used to operate physical robotics or model objects in physical space. Unlike large language models, there isn’t an easy source of data for those models, which has left many labs scrambling to assemble the necessary training sets.
Now, one startup is emerging with an unlikely data source: the video game industry.
That’s the premise of Origin Lab, which just announced an $8 million seed funding round led by Lightspeed Ventures. SV Angel, Eniac, Seven Stars, and FPV also participated, with angel funding from Twitch co-founder Kevin Lin and Cruise founder Kyle Vogt.
“The AI systems that are being built now need to understand how the physical world works and how things move,” co-CEO and co-founder Anne-Margot Rodde told TechCrunch. “That data essentially lives in video games.” The company’s other co-founders (pictured above) are Antoine Gargot and Colin Carrier.
In simple terms, Origin Lab will serve as a marketplace where world-model-focused labs such as Yann LeCun’s AMI Labs or Fei-Fei Li’s World Labs can buy high-quality licensed data. On the other side of the trade, video game companies can squeeze additional revenue out of the digital assets they’ve already created. In the middle, Origin Lab will convert the video game assets into a form that works as training data — something that could be as simple as a rendering run or as complex as automating hours of walkthrough footage.
“It became clear that the video game industry was sitting on some incredibly valuable data, but there was no real way or infrastructure to basically connect AI labs and the video game industry,” says Rodde. “So essentially, we built that bridge.”
Labs have long been interested in video game footage as a data source, but licensing and data-quality issues have often gotten in the way. In December 2024, OpenAI caused a minor scandal when the first version of its Sora video-generation model seemed to regurgitate footage of popular video games and streamers — presumably because it had been trained on Twitch streams. Amazon has been open about its interest in using Twitch footage to train models.
Origin’s success in fundraising is a sign of a growing market — not just for training data, but for startups that can serve as essential suppliers to major AI labs. Faraz Fatemi, a partner at Lightspeed who led the Origin investment, says the success of companies like Scale AI has made the opportunity impossible to ignore.
“We’ve seen how sharp the revenue scaling can be for data vendors that are serving the major labs,” Fatemi told TechCrunch. “These are very well-capitalized businesses, and the bottleneck for all of them is data.”
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Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT’s Technology Review. He can be reached at russell.brandom@techcrunch.com or on Signal at 412-401-5489.
— Originally published at techcrunch.com
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