> For the complete documentation index, see [llms.txt](https://docs.matrix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.matrix.io/manta/manta-welcomes-important-partners-in-its-tests.md).

# MANTA Welcomes Important Partners in Its Tests

Dear Matrixian,

With reference to the recent Bi-Weekly report, (<https://www.matrix.io/blog/BI-WEEKLY_REPORT_228.html>), we are pleased to share the partners who will join the test of MANTA.

1\. Bright Scholar&#x20;

**BEDU (NYSE)**

<https://www.brightscholar.com/>

Scope of Work

1\. MANTA will use AI to help Bright Scholar analyse their courses and train algorithms to recommend their educational content to people who need them;

2\. MANTA will provide computing power for the smart hardware insides Bright Scholar campuses;

3\. Bright Scholar will cooperate with Matrix to develop AI hardware for their campuses.

2\. Deyang City, Sichuan

Scope of Work

MANTA will train smart city algorithms for Deyang, Sichuan, starting from algorithms that monitor kitchen and bathroom sanitation.

3\. TBEA

Scope of Work

Following our previous cooperations, MANTA will provide computing power and algorithms for TBEA's smart industry.

4\. The Weather Simulation Lab under the Department of Atmosphere and Marine Research of the School of Physics, Peking University

Scope of Work

We donate a few free MANTA nodes to the Lab. Students can use computing power from the nodes to conduct weather simulation experiments and train weather forecast algorithms.

We believe these are valuable partners and should be able to lay a solid base to test out MANTA.

Enjoy the adventure with MATRIX.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.matrix.io/manta/manta-welcomes-important-partners-in-its-tests.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.