# Reborn's Partnerships

Reborn is proud to collaborate with a global network of leading partners across industry, research, and academia, together building the foundation for the next generation of embodied intelligence.

1. **Industry Partners**: Our data and model collaborators include top-tier humanoid robotics companies such as **Unitree, EngineAI,** and **Booster Robotics**, as well as RFM-focused innovators like **Galbot** and **Noematrix**. These partners provide real-world deployment platforms and hardware integration, ensuring our models are both functional and scalable in practice.
2. **Research Collaborators**: We work closely with leaders in physical AI, including **NVIDIA**, **Adobe**, and **Coohom**, to co-develop advanced humanoid control policies, real-time simulation tools, and environments grounded in Reborn’s diverse motion datasets.
3. **Academic Institutions**: Reborn maintains deep research ties with world-renowned universities such as **Harvard**, **Stanford**, **UC Berkeley**, **Caltech**, **Oxford**, and **Nanyang Technological University (NTU)**. These collaborations form a cross-continental alliance committed to advancing the state of embodied AI through joint research, data exchange, and experimental validation.

#### Data & Model Partner

<figure><img src="/files/GS3rqulB96UAoV2qbRsC" alt=""><figcaption></figcaption></figure>

#### Research Partner

<figure><img src="/files/ZyfxcEC3cyEvekFRopu5" alt=""><figcaption></figcaption></figure>

#### Collaborations with Leading Physical AI Labs

<figure><img src="/files/UFbrzkQG6lZTl6YREveA" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://reborn-agi.gitbook.io/reborn-network/mechanisms/reborns-partnerships.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
