# DeepRoute

<https://www.deeproute.ai/>

### Ownership

Alibaba

### Status

* Available to the public in [Wuhan](/cities/asia/wuhan.md)
* Testing in [Shenzen](/cities/asia/shenzen.md)

Partnered with [Dongfeng](/platforms/dongfeng.md) to develop robotaxis

{% embed url="<https://www.youtube.com/watch?v=4caLBGn9Jvw>" %}

### Timelines

"Cars equipped with the company's L4 autonomous driving solution are expected to begin mass production and enter the market on a large scale by 2024, according to the company."

**Source**: <https://cnevpost.com/2022/04/20/alibaba-backed-deeproute-unveils-new-robotaxi-fleet-with-self-driving-kit-costing-less-than-10000/>

### Hardware

"DeepRoute-Driver 2.0 currently costs less than $10,000, and after large-scale cooperation with car companies, the cost of the entire autonomous driving system can be reduced by another 70 percent"

**Source**: <https://cnevpost.com/2022/04/20/alibaba-backed-deeproute-unveils-new-robotaxi-fleet-with-self-driving-kit-costing-less-than-10000/>

"Only four months after Deeproute.ai announced it planned to sell its self-driving solution at an attractive $10,000, the Shenzhen and Fremont-based startup said it has further slashed the cost by approximately 70% to $3,000.

The touted price tag surely stands out, given Deeproute is promising two to five solid-state lidars, eight cameras, as well as Nvidia’s Drive Orin system-on-a-chip (SoC) for each of its Level 4 solutions"

**Source**: <https://techcrunch.com/2022/04/21/deeproute-l4-driving-3000-cost/>

### Tech demo in a complex environment

{% embed url="<https://www.youtube.com/watch?v=6v036bBD31o>" %}


---

# 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/platforms/deeproute.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.
