# QCraft

<https://www.qcraft.ai/en>

### Ownership

* Bytedance
* Meituan

### Status

* Available to the public in [Wuhan](/cities/asia/wuhan.md)
* Available to the public in [Suzhou](/cities/asia/suzhou.md)
* 10 major Chinese cities (unknown which ones specifically)

"Qcraft is testing a fleet of more than 100 autonomous mini-buses and sedans in around 10 major Chinese cities."

**Source**: <https://technode.com/2022/05/19/qcraft-partners-with-t3-to-expand-self-driving-robotaxi-service/>

{% embed url="<https://www.youtube.com/watch?v=d_ZBfCgw1xk>" %}

### Dongfeng

[Dongfeng](/platforms/dongfeng.md) Motor Corporation's autonomous technology arm, Dongfeng Yuexiang, has co-developed and started trial operation of a driverless bus, the Sharing Bus, with autonomous driving developer QCraft.

**Source**: <https://autonews.gasgoo.com/m/70019449.html>

In the future, the companies aim to expand their autonomous driving commercial operation landscape and form a 300-vehicle fleet.

**Source**: <https://autonews.gasgoo.com/m/70019449.html>

### T3

"QCraft, a Chinese autonomous driving startup, said at a Wednesday conference that it is partnering with ride-hailing firm [T3](#t3) to bring self-driving vehicles onto the latter’s ride-share network in the eastern city of Suzhou."

**Source**: <https://technode.com/2022/05/19/qcraft-partners-with-t3-to-expand-self-driving-robotaxi-service/>

"QCraft, T3 Go’s Robotaxi fleet starts public operation in Suzhou"

**Source**: <https://autonews.gasgoo.com/china_news/70021346.html>

### Vision

Investment & vision summary: <https://pandaily.com/tiktok-owner-bytedance-invests-25m-in-self-driving-startup-qcraft-report/>


---

# 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://rollout.autoura.com/vehicles/qcraft.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.
