Our Mission
To unleash human creativity and productivity with general world models, and lead the new era of AGI.
We are the first general world model ("GWM") company globally that built a GWM unifying the digital world and the physical world. We are dedicated to building a unified intelligence framework capable of modeling, reasoning, predicting and acting upon the underlying rules that govern both digital and physical worlds. Guided by first principles thinking, we use visual and auditory information, which naturally encodes the physical world, to train our foundation world model and replicate the human process of perceiving, simulating and interacting with the world, and ultimately, to enable AGI that connects the digital world with the physical world.
To unleash human creativity and productivity with general world models, and lead the new era of AGI.
At the core of our technology stack is our foundation world model. We train our foundation world model using our proprietary U-ViT architecture that combines diffusion models with the transformer architecture. This approach replicates the human cognitive process of perceiving the physical world, thereby enabling our foundation world model to understand the fundamentals of world operations.
We provide advanced multi-modal generation capabilities in the digital world with Vidu, our world generation model. Based on the strong capabilities to understand and reconstruct the world of our foundation world model, Vidu can decode and render audiovisual content for viewing, high-fidelity content creation and compositional innovation with creators, thereby enabling strong text-to-video, image-to-video and reference based generation capabilities and also improving the consistency, reasonableness and interactivity in world generation. Vidu elevates video generation models from mere content generation to understanding the laws underlying the world’s operations, which builds a dynamic digital world and in turn enhances the generalized capabilities of our foundation world model.
We build a unified architecture powered by the World Action Model Motubrain to enable multi-task generalization and high data efficiency for embodied intelligence. Based on a Mixture-of-Transformer (MoT) architecture, Motubrain integrates multiple capabilities into a single framework, addressing fragmentation across perception, world modeling, and control for embodied agents.
As the evolutionary core connecting the digital and physical worlds, Motubrain marks a generational leap in general-purpose world models, advancing them from "visual prediction" to "physical decision-making." Built as a general-purpose brain for embodied robots, Motubrain delivers multi-embodiment adaptation, multi-task generalization, and long-horizon task execution, empowering robots to perform continuous, complex tasks with greater stability across real-world environments, including homes, industrial sites, and commercial spaces.