Advanced Machine Intelligence (AMI), founded by former Meta AI scientist Yann LeCun, has raised $1.03 billion to commercialize AI systems focused on reasoning and planning. The funding is a test of LeCun's belief that current large language models lack human-level reasoning, with AMI targeting complex industrial customers initially.
LeCun argues that next-word prediction AI is insufficient for creating broadly intelligent agents, aiming instead for systems with common sense for real-world interaction. Potential applications range from industrial use to consumer products like domestic robots and Meta's smart glasses.
The main topics covered are AMI's significant funding and mission, criticism of current LLM limitations, its target market, and potential future applications.
Advanced Machine Intelligence, the startup founded by former Meta Platforms chief AI scientist Yann LeCun, said on Tuesday it raised $1.03 billion based on a $3.50 billion pre-money valuation, as it seeks to commercialize artificial intelligence systems built around reasoning, planning and "world models."
The financing positions the company as a test of LeCun's belief âthat today's â large language â models fall short of human-level reasoning and autonomy.
The funding round was co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital and Bezos Expeditions.
Meanwhile, Meta has been intensifying its push into LLM development. In June 2025, the company reorganized its AI efforts under a division called Meta Superintelligence Labs led by former Scale AI CEO Alexandr Wang.
LeCun joined Meta â in 2013 âto found Facebook AI Research, later known as FAIR, and became one of the company's most prominent AI leaders before â departing at the end of 2025.
In an interview with Reuters, LeCun said AMI aims to build systems capable of reasoning and planning in complex real-world settings. He added that current AI approaches based on predicting the next word or pixel will not produce broadly capable intelligent agents by themselves.
The company's near-term target customers are organizations operating complex systems, including manufacturers, automakers, aerospace âcompanies, biomedical firms and pharmaceutical groups. "We want to become the main provider of intelligent systems, regardless of what the application is," LeCun said.
Over time, he â added, the technology could also support consumer applications. "What consumers could be interacting with is a domestic robot. You need a domestic robot to have some level of common sense to really understand the physical world."
LeCun said he was also talking with Meta about potentially deploying the technology in its Ray-Ban Meta smart glasses. "That's probably one of the shorter term potential applications," he said.
The financing positions the company as a test of LeCun's belief âthat today's â large language â models fall short of human-level reasoning and autonomy.
The funding round was co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital and Bezos Expeditions.
Meanwhile, Meta has been intensifying its push into LLM development. In June 2025, the company reorganized its AI efforts under a division called Meta Superintelligence Labs led by former Scale AI CEO Alexandr Wang.
LeCun joined Meta â in 2013 âto found Facebook AI Research, later known as FAIR, and became one of the company's most prominent AI leaders before â departing at the end of 2025.
In an interview with Reuters, LeCun said AMI aims to build systems capable of reasoning and planning in complex real-world settings. He added that current AI approaches based on predicting the next word or pixel will not produce broadly capable intelligent agents by themselves.
The company's near-term target customers are organizations operating complex systems, including manufacturers, automakers, aerospace âcompanies, biomedical firms and pharmaceutical groups. "We want to become the main provider of intelligent systems, regardless of what the application is," LeCun said.
Over time, he â added, the technology could also support consumer applications. "What consumers could be interacting with is a domestic robot. You need a domestic robot to have some level of common sense to really understand the physical world."
LeCun said he was also talking with Meta about potentially deploying the technology in its Ray-Ban Meta smart glasses. "That's probably one of the shorter term potential applications," he said.
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