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    Home»Tech»Worldmodeldata lands £7M to turn gaming data into AI training
    Tech

    Worldmodeldata lands £7M to turn gaming data into AI training

    JamesBy JamesJuly 6, 2026No Comments2 Mins Read
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    Worldmodeldata lands £7M to turn gaming data into AI training
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    Software development

    Worldmodeldata lands £7M to turn gaming data into AI training

    Worldmodeldata emerges from stealth with funding to expand its platform for licensed video game training data for AI applications in robotics, autonomous vehicles and beyond.
    Tamara Djurickovic12 hours ago
    Worldmodeldata lands £7M to turn gaming data into AI training

    Cambridge-based
    startup Worldmodeldata has raised £7 million in seed funding as it emerged from
    stealth. The round was led by Iona Star Capital, a London-based venture capital
    firm focused on early-stage companies in artificial intelligence, data and
    technology

    Founded
    by serial entrepreneur Rhea Loucas, the company is building a database of video
    game-generated training data for AI systems known as world models, which are
    designed to understand and predict how environments change over time. Lord
    Richard Allan, former vice president of public policy at Meta and a UK
    technology policy specialist, has joined the company’s board as chairman

    Worldmodeldata
    aggregates and structures gameplay data from modern video games to create
    datasets for organisations developing world models, physical AI systems and
    robotics. The data isunities, including titles built on Unreal and Unity, rather than
    through web scraping

    The
    platform targets what the company describes as a growing shortage of
    high-quality training data for AI systems that need to understand complex
    environments and make decisions in real-world settings. Potential applications
    include autonomous vehicles, where world models can be used to simulate traffic
    conditions and predict pedestrian movement

    Rhea
    Loucas said the company was founded to
    address the growing need for large-scale training data for world models:

    World
    models represent a significant shift in AI, but they require large-scale
    datasets that enable systems to understand and reason about physical
    environments. Video games provide rich, controlled environments that can
    generate the data needed to train these models, and our goal is to make that
    data available at scale

    The
    funding will support product development, team expansion and new data licensing
    agreements as Worldmodeldata works towards building a library of one million
    hours of training data by the end of next year

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