Advanced Machine Intelligence (AMI Labs), the AI startup founded by former Meta chief AI scientist Yann LeCun, said on March 10 it raised $1.03 billion at a $3.5 billion pre‑money valuation to build “world models” AI that emphasizes reasoning and planning over pure text generation. The size of the seed round is unusually large for a new AI lab and suggests investors are betting that the next wave of AI systems will be trained on real‑world dynamics, not just language.
Reuters reported that the round was co‑led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital and Bezos Expeditions; Bloomberg said Nvidia and Samsung are among the backers and that the startup is less than three months old. Those investor names underline how the sector is pulling in both financial VCs and strategic tech companies at an early stage.
AMI says its “world models” approach aims to produce systems that can reason about and plan in the physical world. Reuters noted the company plans to commercialize this capability for organizations running complex systems in manufacturing, automotive, aerospace, biomedical and pharma, and LeCun has argued current LLMs fall short of human‑level reasoning. TechCrunch quoted CEO Alexandre LeBrun saying “world models” could become the next buzzword, a sign that the category is still forming and may invite copycats.
In parallel, investor SBVA disclosed a €30 million commitment to the round via PRNewswire, reinforcing that the $1.03B total is composed of multiple checks rather than a single lead. The timeline now hinges on whether AMI can convert its research vision into demonstrable products—an open question for a company that is newly formed but already valued like a late‑stage startup.
Related: AI Signals coverage.
