AMI Labs has raised $1.03 billion in funding at a $3.5 billion pre-money valuation to develop advanced “world model” AI systems. The venture was co-founded by Yann LeCun, a Turing Award winner and former AI leader at Meta Platforms.
World models focus on learning directly from real-world environments rather than relying solely on text-based training data used by large language models. AMI Labs plans to build AI architectures based on LeCun’s Joint Embedding Predictive Architecture framework, which aims to enable systems to understand physical environments and predict outcomes.
CEO Alexandre LeBrun said the approach could support applications in healthcare, robotics, and scientific research. The company’s first collaboration will involve digital health startup Nabla.
The funding round was backed by investors including Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, with additional support from technology companies and venture funds. AMI Labs plans to invest heavily in compute infrastructure and talent across research hubs in Paris, New York, Montreal, and Singapore.
