AMI Labs

AMI Labs (Advanced Machine Intelligence) is a frontier AI research lab co-founded by Turing Award winner Yann LeCun after his departure from Meta. The company raised $1.03 billion in what is likely the largest seed round in history, at a $3.5 billion pre-money valuation. AMI Labs is headquartered in Paris with offices in New York, Montreal, and Singapore.

AMI Labs is building world models—AI systems that learn abstract representations of real-world sensor data rather than generating text or images token-by-token. Their approach is based on JEPA (Joint Embedding Predictive Architecture), proposed by LeCun in 2022, which learns to predict in representation space rather than pixel space, ignoring unpredictable details. This is a fundamentally different paradigm from the autoregressive language models (like GPT, Claude, and Llama) that dominate today's AI landscape.

The core thesis: real intelligence does not start in language. It starts in the world. Generative architectures trained on text have been successful for language but struggle with continuous, high-dimensional, noisy real-world sensor data. AMI's world models learn to understand the physical world and predict the consequences of actions—enabling applications in robotics, healthcare, industrial automation, wearable devices, and beyond.

Leadership

The team includes Alexandre LeBrun (CEO, former CEO of Nabla and Meta AI executive), Laurent Solly (COO, former Meta VP for Europe), Saining Xie (Chief Science Officer), Pascale Fung (Chief Research and Innovation Officer), Michael Rabbat (VP of World Models), and Yann LeCun (Chairman).

Investors

The round was co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, with strategic backing from NVIDIA, Samsung, Toyota Ventures, and Temasek. Notable individual investors include Tim Berners-Lee, Jim Breyer, Mark Cuban, and Eric Schmidt.

Open Research

True to LeCun's beliefs, AMI Labs has committed to publishing research papers and open-sourcing code. As LeBrun stated: "We think things move faster when they're open, and it's in our best interest to build a community and a research ecosystem around us."

In the Seven Layers of the Agentic Economy, AMI Labs sits at Layer 5: Data & Knowledge in the ML Training Frameworks subcategory, as JEPA represents a new paradigm for how AI systems learn from real-world data. AMI Labs also has relevance to Layer 4 (Foundation Models) as its world models mature into deployable intelligence systems.