Pioneering the Future of AI
We're leading the evolution from Language Foundation Models to World Foundation Models, building the infrastructure for AI that truly understands and interacts with our world.
Our Mission
To accelerate the transition from language-based AI to embodied, world-aware intelligence that can understand, reason about, and interact with the physical and conceptual world through our revolutionary World Context Protocol.
Our Vision
A future where AI systems possess grounded understanding of the world, maintaining persistent memory, spatial awareness, and causal reasoning to become true partners in solving humanity's greatest challenges.
Moving beyond text-only AI to systems with multimodal grounding, embodied intelligence, and internal world models.
The bridge architecture enabling AI agents to interface with real-world environments through structured, persistent context.
Why This Transition Matters
The evolution from Language Foundation Models to World Foundation Models represents the most significant advancement in AI since the transformer architecture.
Move from statistical pattern matching to genuine comprehension grounded in sensory experience and physical interaction.
Enable AI systems that learn from experience, remember interactions, and build long-term relationships with users and environments.
Unlock AI that understands cause and effect, can predict outcomes, and reason through complex scenarios before taking action.
Develop AI that understands human emotions, social contexts, and can collaborate naturally in human environments.
Create AI systems that can control physical agents, manipulate objects, and interact meaningfully with the real world.
Open possibilities for AI applications we can barely imagine today, from household robots to space exploration partners.
Our Approach
We're building the foundational infrastructure that will enable the transition to World Foundation Models through research, development, and practical applications.
Protocol Development
Creating standardized interfaces for AI-world interaction through our World Context Protocol, evolving from today's Model Context Protocol.
Bridge Architecture
Building the technical infrastructure that connects World Foundation Models with sensors, actuators, and real-world environments.
Practical Applications
Demonstrating WFM capabilities through concrete use cases in robotics, AR/VR, and intelligent systems.
Community Building
Fostering a community of researchers, developers, and organizations working toward the WFM future.
The Timeline
Join the Evolution
Be part of the most significant transformation in AI history. Explore our research, try our demos, and help build the future of intelligent systems.