We are enabling the next AI revolution, by building a new breed of AI systems that (1) understand the real world, (2) have persistent memory, (3) can reason and plan, (4) are controllable and safe.
Our main goal is to build intelligent systems that understand the real world.
Real-world data is continuous, high-dimensional, and noisy, whether it is obtained through cameras or any other sensor modality.
Generative architectures trained by self-supervised learning to predict the future have been astonishingly successful for language understanding and generation.
But much of real-world sensor data is unpredictable, and generative approaches do not work well.
AMI Labs is developing world models that learn abstract representations of real-world sensor data, ignoring unpredictable details, and that make predictions in representation space.
Action-conditioned world models allow agentic systems to predict the consequences of their actions, and to plan action sequences to accomplish a task, subject to safety guardrails.
AMI Labs will advance AI research and develop applications where reliability, controllability, and safety really matter, especially for industrial process control, automation, wearable devices, robotics, healthcare, and beyond.
Founded by a globally distinguished team of scientists, engineers, and builders, AMI is a frontier AI research lab operating across three continents from day one.
We share one belief: real intelligence does not start in language. It starts in the world.
We can build the future of AI together: with industry partners, product developers, and with the global academic research community via open publications and open source.
If this vision resonates with you, come join us on this journey.