Insider Brief
- Yann LeCun’s Advanced Machine Intelligence (AMI Labs) has raised about $1.03 billion in seed funding to develop AI systems based on “world models” designed to reason about real-world environments.
- The Paris-based company plans to build AI architectures capable of persistent memory, planning and controllable decision-making for applications such as healthcare, robotics and industrial systems.
- AMI’s first partnership is with clinical AI developer Nabla, which will gain early access to the technology to develop next-generation agentic AI tools for healthcare workflows.
Yann LeCun’s Advanced Machine Intelligence, or AMI Labs, has raised about $1 billion in seed round funding to develop artificial intelligence systems designed to understand and reason about the physical world using so-called world models.
“We just completed our seed round: $1.03B / 890M€, one the largest seeds ever, probably the largest for a European company,” LeCun posted on X. “We’re hiring!”
The funding round was co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with additional global investors, according to the company.
AMI Labs said it is building AI systems designed to maintain persistent memory, plan and reason through complex problems, plus operate under controllable and safety-focused frameworks. The company’s approach centers on world models, a form of AI architecture intended to enable systems to build internal representations of how environments function and use those models to make decisions.
The company is headquartered in Paris and operates research and development teams there as well as New York, Montreal and Singapore.
AMI Lab’s first partnership is with Nabla, the AI assistant platform provider that AMI Labs CEO Alex LeBrun founded and served as CEO before joining AMI Labs.
Nabla said last year when it raised $70 million in Series C funding that its clinical AI assistant platform was used by about 85,000 clinicians across more than 130 U.S. health systems, with the company reporting a five-fold revenue increase in the first six months of 2025. The company indicated it plans to expand its Adaptive Agentic Platform with new AI tools for proactive coding, context-aware assistance and care-setting–specific clinical workflows.
Nabla said its strategic partnership will give the healthcare AI developer early access to AMI Labs’ world models and the collaboration is intended to help bring more advanced agentic AI systems into clinical environments by combining Nabla’s healthcare workflow tools with AMI’s research into AI architectures capable of reasoning, planning and maintaining persistent memory.
Nabla said the partnership could enable future AI systems to move beyond documentation and language-based tasks to better understand complex clinical workflows, simulate outcomes and operate safely within healthcare systems. By integrating world model technologies into healthcare AI tools, the companies aim to support more reliable decision-making, multimodal data analysis and auditable automation across medical specialties and care environments.
