Physical AI Models
Inference models designed for physical-world perception, navigation, and real-time decision-making at the edge. Framework3 is the engine that will power every downstream Metantel mobile system.
Framework3 is an integration architecture designed to bring AI inference to physical navigation. It provides a wrapper for capabilities like spatial reasoning, sensor fusion, and real-time trajectory planning.
The architecture is designed to efficiently run on edge hardware, enabling autonomous operation in practical environments.
| Model | Development Time | Description |
|---|---|---|
| Framework1 | Developed in 1 month | Founding codebase with custom simulation environments. |
| Framework2 Prototype-1 | Developed in 2 months | Validation of Core Architecture proving viability of AI for navigation. |
| Framework2 Prototype-2 | Under Development | Modifications for drone operations proving adaptable nature of the system. |
| Framework2 Prototype-2 MCP | Under Development | Built a closed-loop development cycle centered around State-of-the-Art Gemini Models. |
Framework3 is currently in the architectural design and prototyping phase. Development is focused on refining the core architecture, optimizing the data pipelines, and testing hardware integration.
Framework3 Physical AI Models doesn't ship in isolation. It plugs into the rest of the Metantel stack through a shared protocol surface — context flows in and out without leaving the family.