Advanced Machine Intelligence Labs

Paris-based AI startup From Wikipedia, the free encyclopedia

Advanced Machine Intelligence Labs is a Paris-based artificial intelligence research laboratory co-founded by Yann LeCun, the former Chief AI Scientist at Meta Platforms, in December 2025. It focuses on developing world model AI systems which understand the physical world, maintain long-term memory, and strategize complicated tasks, ensuring they remain secure and easily manageable. It raised $1.03 billion in a seed funding round from Bezos Expeditions, Nvidia, and Samsung Electronics, among others.[2][3]

Company type
Private
FoundedDecember 15, 2025; 5 months ago (2025-12-15) in Paris, France[1]
FounderYann LeCun
Quick facts Company type, Industry ...
Advanced Machine Intelligence SASU
Company type
Private
IndustryArtificial intelligence
FoundedDecember 15, 2025; 5 months ago (2025-12-15) in Paris, France[1]
FounderYann LeCun
Headquarters
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The company has locations in Paris, New York City, Montreal, and Singapore.

Background

LeCun left Meta in November 2025, arguing that Meta and other leading AI companies would eventually reach a dead end with their single-minded focus on large language models (LLMs) and set out to build a new company centered on developing a more comprehensive world model for intelligent machines.[2]. AMI is intended to remain a research organisation not expected to produce a saleable product for around five years.[4][5]

AMI Labs initially plans to develop its world models together with companies from data-intensive industries, such as manufacturing, biomedicine, or robotics. Its first official partner is the French startup Nabla, also led by Alexandre LeBrun, which develops AI software for doctors that automatically documents patient conversations and creates medical notes.[6]

Competition

AMI Labs is not the only research laboratory working on this approach; the American company World Labs is also working on this field in the United States, Google DeepMind, OpenAI and Meta have also been working on this approach for many years.[7]

References

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