> For the complete documentation index, see [llms.txt](https://home.reborn-ai.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://home.reborn-ai.xyz/products/open-model-ecosystem.md).

# Open Model Ecosystem

### 🌍 Open Model Ecosystem: From Users to Developers

In addition to official Reborn models, we support an **open development paradigm** that encourages contributions from the broader ecosystem.

* **Developers and researchers** can access Reborn’s curated datasets and build **custom models** tailored to new applications.
* **Builders and entrepreneurs** can propose **vertical-specific ecosystem projects**—from warehouse cobots to eldercare companions—leveraging Reborn data and tools.
* **Contributors** who deploy their own models in real-world scenarios can loop feedback and new data back into the ecosystem, improving global model quality.

This community-driven loop of **“Build → Deploy → Collect → Improve”** ensures that Reborn evolves not as a closed platform, but as an **open, extensible intelligence layer** for the embodied AI economy.

### 🦾 Co-Development with Robotic Giants

Reborn adopts a **collaborative model development approach**, working closely with industry partners such as **Unitree Robotics** and **Booster Robotics**. This partnership structure allows for rapid iteration, real-world deployment, and continuous feedback. The community users can directly develop or deploy the model from Reborn to the robot by one click.

* **Reborn** contributes:
  * Advanced **algorithms** and training architectures
  * Large-scale **multimodal datasets** collected via our ecosystem
  * Scalable **training pipelines** for embodied AI models
* **Hardware partners** provide:
  * **Commercial-grade humanoid platforms** and mobile manipulators
  * **Testbeds and deployment scenarios** across home, lab, and industrial environments
  * Performance benchmarks and real-time usage data

This synergy ensures that models are optimized not just for simulation, but for the real-world constraints of modern robot hardware.