Yann LeCun Plans $3.5 Billion AI Startup After Leaving Meta

December 19, 2025
Yann LeCun, outgoing Chief AI Scientist at Meta, is reportedly seeking to raise €500 million for a new AI venture valued at about €3 billion ahead of its launch, with Alexandre LeBrun set to serve as CEO.
Yann LeCun Plans $3.5 Billion AI Startup After Leaving Meta

Outgoing Yann LeCun, Chief AI Scientist at Meta, is in early discussions to raise €500 million (about $586 million) for a new artificial intelligence startup. The funding round would value the company at approximately €3 billion before its official launch.

LeCun has reportedly appointed Alexandre LeBrun, founder of French health tech company Nabla, as chief executive of the new venture. The startup aims to develop AI systems based on "world models" that can interpret and interact with the physical world, with potential uses in robotics and transportation.

LeCun announced last month that he would depart Meta by the end of the year to focus on building a new generation of superintelligent AI systems. He is widely recognized as one of the pioneers of deep learning and a recipient of the 2018 Turing Award.

The high valuation and strong investor interest prior to launch come amid broader concerns in the technology sector about inflated valuations and speculative enthusiasm for AI initiatives.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Robotics Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to AI Funding Brief

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more