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Yann LeCun launches world model startup AMI Labs, targets multi-billion dollar valuation

Turing Award winner Yann LeCun launched AMI Labs with former Nabla CEO Alex LeBrun to develop world model AI systems. AMI Labs reportedly looks to raise €500 million at a €3 billion valuation to build alternatives to LLMs that understand real-world environments through video and sensor data.

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Dec 29, 2025 · 1 min read

Turing Award winner and former Meta Chief AI Scientist Yann LeCun has confirmed the launch of Advanced Machine Intelligence Labs (AMI), a startup focused on developing world model AI systems. LeCun will serve as executive chairman while Alex LeBrun, co-founder and CEO of medical AI startup Nabla, transitions to lead AMI as CEO.

According to the Financial Times, AMI is seeking €500 million (approximately $586 million) at a €3 billion valuation before even launching—a significant but not unprecedented ask in today's AI landscape. For context, former OpenAI CTO Mira Murati's startup raised at a $12 billion seed valuation.

World models represent an alternative to large language models, attempting to understand environments and simulate cause-and-effect scenarios rather than simply generating text. LeCun argues that LLMs lack real-world understanding, leading to hallucination and context problems. By training on video, sound, and sensor data, world models aim to build systems that can predict outcomes and maintain context across complex, multi-step tasks.

AMI's first application will be in healthcare through a partnership with Nabla, focusing on AI agents that can handle scheduling, documentation, and billing while maintaining context throughout workflows. The company joins other major players including Google DeepMind and Fei-Fei Li's World Labs in the race to develop world model technology.


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Ellie Ramirez-Camara
News Editor

Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.

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