Material Model
Real-worlding with AI
Recent developments have laid the foundations for AI to sense and act upon the world.
- General-purpose LLMs with good visual understanding (Gemini-2.5-pro) released circa March 2025
- Anthropic, OpenAI, and Google consolidating around a unified protocol to connect agents with external data and tools (MCP) circa April 2025
So let's build a world agent.
Think of us as the protocol layer between silicon and concrete. When intelligence outgrows the screen, it will need a body. Material Model is already stitching one together.
World Agent Architecture
+----------------+ +----------------+ +---------------+ | Camera, other | | Digital Data | | Smart Sensors,| | Passive Sensors| | Sources | | Drone, Robots | +----------------+ +----------------+ +---------------+ \ | / ^ \ | / | \ | / | +------------------------+ | | User-Chosen Triggers | | +------------------------+ | | | v | +--------------------------------------------+ | | Command Center ft. general-purpose agents | | | with strong visualcapabilities | | +--------------------------------------------+ | / | \ | v v v | +-------+ +-------+ +-------+ | | MCP | | MCP | | MCP | | +-------+ +-------+ +-------+ | | | | | v v v | +-------------+ +---------------+ +-----------+ | | Send email, | | Smart devices | | Feedback |-+ | text, etc | | | | | +-------------+ +---------------+ +-----------+
We build the command center, UI, and initial integrations open-source. Workflows and MCP connections can be arbitrarily made by the user or chosen from our marketplace.