
Worldmodeldata, a startup based in Cambridge, has raised €8 million (£7 million) in Seed funding.
The company is creating a database of data generated from video games to help train the next generation of AI models.
Read Also- Fintech Startup Stoa Raises $2.4 Mn in Pre-Seed Round
The Seed funding round was led by Iona Star Capital.
RECOMMENDED FOR YOU
[Funding alert] Barcelona-based toddl.co Secures €500k in Pre-Seed Funding
Team SR
Nov 29, 2023
[Funding alert] London-based Fintech Startup Kriya Raises €58 Million in Funding
Team SR
Jan 31, 2024
Rhea Loucas, Founder and CEO, says: “World models represent a fundamental paradigm shift in AI, but progress like this needs fuel: internet-scale data to help AI systems make predictions and reason in physical environments. Such a comprehensive dataset does not yet exist; however, video games, as safe, controlled environments, are the perfect setting for generating the action-conditioned data needed to train the next generation of AI at the required scale. Worldmodeldata is built to bridge that gap.”
Richard Allan, Chairman, adds: “We are proud to anchor ourselves in the UK’s AI ecosystem, a strategic choice driven by the urgent push for sovereign AI capabilities and the robust infrastructure that powers them. The deep expertise of this team is hugely exciting and positions them perfectly to lead this charge.
“In tackling critical gaps that LLMs cannot bridge, this isn’t about improving AI model training, but building an essential foundation for deploying AI in sectors where the demand is vast but the solutions remain limited.”
Founded in 2025 by Rhea Loucas, Worldmodeldata aims to provide high-quality, diverse, and scalable training data to help develop the next generation of AI models, AI agents, and physical AI systems.
The company uses modern video games to create structured training data. This data is collected directly from the game engine, with human experts helping to improve its quality.







