Yann LeCun’s new AMI Labs raises $1.03 billion seed — a European seed record

Record raise for a two‑month‑old startup

It has been reported that AMI Labs, the Paris‑based startup founded by Yann LeCun (杨立昆), closed a $1.03 billion seed round — roughly RMB 70.9 billion — only two months after incorporation. The deal reportedly sets a new record for the largest seed round in European history. Pre‑money valuation was said to be $3.5 billion; post‑money figures were not disclosed. How does a roughly 20‑person team pull in checks from the likes of Nvidia and Bezos Expeditions? Investors are clearly betting on the founder as much as the product.

A founder with a pedigree and a dissenting view

LeCun is one of the most prominent figures in modern AI: a Turing Award laureate, longtime head of Meta’s (formerly Facebook) FAIR research lab and a pioneer of convolutional neural networks that underpin much of computer vision today. It has been reported that he left Meta amid growing tensions over research direction — LeCun remained focused on “world models” and embodiment while others pushed to commercialize large language models (LLMs). His stated goal for AMI Labs is to build AI that understands the physical world, with architectures LeCun describes as “joint embedding prediction” systems that go beyond next‑token prediction.

Strategic investors, big signals

The investor list reportedly reads like a who’s who of global capital: Nvidia, Bezos Expeditions, Temasek, Toyota Ventures, Cathay Innovation (凯辉创新) among others, plus individual backers such as Tim Berners‑Lee and Eric Schmidt. That Nvidia and rival chip players have backed the round is notable — especially in the context of tightening U.S.‑China tech tensions and chip export controls — because it signals hardware makers’ faith in AI approaches that may diverge from today’s LLM‑centric wave. Reportedly AMI’s initial customers will be in robotics‑heavy sectors such as automotive, aerospace and biotech, and the team is focused on R&D rather than consumer launches.

Why this matters

Why did top investors move so fast? Because many in the AI community are now hedging: LLMs won the last phase, but spatial intelligence and durable world models could be the next frontier — and a faster route to robotics, autonomy and physical automation. It has been reported that comparable bets are appearing elsewhere, too: Fei‑Fei Li’s World Labs recently closed a large financing round, underscoring that venture capital is already reallocating toward “understanding the physical world” as AI’s next big market.