AI Startups

Origin Lab raises $8M to help video game companies sell data to world-model builders

Published byAIDaily Editorial Team
4 min read
Original source author: Russell Brandom

Origin Lab will serve as a marketplace where AI labs can buy high-quality licensed data, and video-game companies can sell it.

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As 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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Key takeaways

  • Origin Lab connects game developers and AI labs, creating new monetization opportunities.
  • The data market for AI training is expanding, with potential for Brazilian startups to stand out.
  • Challenges such as licensing and data quality must be carefully managed to avoid controversies.

Editorial analysis

The recent $8 million funding round for Origin Lab highlights an emerging trend that could significantly impact the technology sector in Brazil and globally. The intersection of video games and artificial intelligence (AI) opens new opportunities for Brazilian game developers, who can monetize their digital assets in innovative ways. This is particularly relevant in a country where the gaming industry is growing, and many independent studios can benefit from a new revenue source by licensing their data to AI labs.

Moreover, the establishment of a structured marketplace for data exchange between game developers and AI labs can accelerate the development of physical world models, which are essential for robotics and other AI applications. This infrastructure can facilitate collaboration between sectors that traditionally operate in isolation, promoting a more integrated and innovative ecosystem. For Brazil, this could mean an increase in global competitiveness, especially if local studios can position themselves as suppliers of valuable data.

However, it is important to note the challenges that may arise, such as licensing issues and data quality, which have been obstacles in the past. The experience of companies like OpenAI with the use of gaming data shows that ethical data collection and usage are crucial to avoid controversies. Therefore, Origin Lab will need to navigate these issues carefully as it establishes itself in the market. What we see now is an evolving space that may lead to new practices and standards in the use of gaming data for AI training, something that should be closely monitored by all stakeholders in the industry.

Finally, the capital movement around Origin Lab may indicate an expanding market for startups that act as intermediaries between different industries. As more investors recognize the potential of business models that connect gaming and AI, we can expect an increase in investment flows into Brazilian startups looking to explore this intersection. This dynamic may not only drive innovation but also create a conducive environment for the emergence of new technological solutions that meet future demands.

What this coverage includes

  • Clear source attribution and link to the original publication.
  • Editorial framing about relevance, impact, and likely next developments.
  • Review for readability, context, and duplication before publication.

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