# Overview

The **Reborn Token (RBN)** is the native utility token of the Reborn ecosystem. It is designed to enable efficient, transparent, and scalable value exchange between the many actors involved in the development of embodied artificial intelligence—including data contributors, model developers, and robotics companies. At its core, RBN represents not only a medium of transaction, but also a mechanism of coordination, incentive alignment, and long-term sustainability.

As embodied AI moves from research labs to commercial deployment, the demands for large-scale, high-quality data and intelligent models are rising exponentially. Reborn bridges this need by creating a token-powered system where contributors are rewarded for uploading real-world data; developers can access modular datasets and build models; and robotic companies can license ready-to-use intelligence for deployment.

The Reborn token thus serves as the **economic engine of a circular ecosystem**, where value is created through participation and reinvested into innovation. It supports an evolving marketplace of models, data, and applications—grounded in community ownership and aligned toward building the open intelligence stack for AGI robots.

<figure><img src="/files/RhEaYVesHqzg8mWwFXf5" alt=""><figcaption></figcaption></figure>

### **Core Utilities**

The Reborn token supports a wide range of functions across the embodied AI development lifecycle:

* **Incentivize**\
  RBN rewards are issued to contributors who provide high-quality data—ranging from smartphone-captured videos and mocap sessions to complex VR-based manipulation tasks and synthetic simulation rollouts.
* **Access**\
  Developers use RBN to access curated datasets, model training pipelines, evaluation tools, and deployment-ready APIs through the Reborn Nest platform.
* **Deploy**\
  Robotics companies and research labs spend RBN to license pretrained models or integrate inference pipelines into their robots—facilitating frictionless and modular intelligence deployment.
* **Bootstrap**\
  Entrepreneurs and ecosystem builders can use tokens to launch vertical-specific applications—such as warehouse robotics, home-care assistants, or interactive learning agents—powered by Reborn data and infrastructure.

### **Token Flow in the Ecosystem**

RBN is the lifeblood of the Reborn ecosystem, flowing between its key participants in a continuous feedback loop:

* **Data Contributors** earn RBN by submitting valuable human motion data using various devices, with rewards scaling based on data quality and contribution method.
* **Validators** stake RBN to validate data quality and integrity, earning rewards from both protocol incentives and performance-based bonuses.
* **Indexers** organize, tag, and maintain the structure of incoming data to ensure its usability and searchability.
* **Data Bank** securely stores and curates all contributed data, offering streamlined access for consumers while preserving privacy.
* **Data Consumers** purchase tailored datasets via smart contracts, with part of their payment converted to RBN to fuel the ecosystem.
* **Model Contributors** stake or use RBN to access data, build robotics models, and share revenue with stakers who supported their development.
* **RebornDAO** governs the ecosystem by allocating resources, setting incentives, and directing protocol evolution through RBN-based voting.
* **Stakers** lock their RBN to support ecosystem functions and participate in governance decisions, earning proportional rewards in return.

This architecture powers the **Reborn flywheel**:

> **Contribute → Earn → Build → Deploy → Regenerate**

As more data is contributed and more models are deployed, the demand for both datasets and intelligence increases—fueling further token usage and driving ecosystem growth.


---

# 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/tokenomics/overview.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.