Brain
WeRide's universal autonomous-driving platform (WeRide One), embedding an end-to-end AI model that spans Level 2 to Level 4 across all WeRide vehicle types (robotaxi, robobus, robovan, robosweeper). Designed to be decoupled from specific compute and chips for rapid migration across hardware, reducing OEM adaptation cost and deployment time.
Foundation model · Maturity: Commercial · Closed · Powers 1 robot
Machine-readable surfaces
- Markdown mirror: /brains/weride-one.md
- RSS feed: /brains/weride-one/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/brains/7f2a888b-a0d2-44db-aa59-2271a77e5bdb
- Revision history: /brains/weride-one/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Key facts
- Model type
- foundation-model
- Maturity stage
- commercial
- Open source
- no
- Architecture
- end-to-end AI model
- Autonomy levels
- Level 2 to Level 4
Developed by (1)
Powers (1)
- Robotaxi GXRWeRide · av
Where WeRide One runs
View the global mapDeployments of robots powered by WeRide One, by place and type.
Common questions
What is WeRide One?
Which robots run on WeRide One?
Who developed WeRide One?
Is WeRide One open source?
What type of AI is WeRide One?
What is WeRide One's maturity stage?
Sources (6)
- https://www.weride.ai/technology
- https://www.sec.gov/Archives/edgar/data/1867729/000119312525032824/d830334dex991.htm
- https://www.weride.ai/products
- https://www.weride.ai/services
- https://www.therobotreport.com/weride-to-deploy-its-gxr-robotaxi-in-beijing/
- https://www.therobotreport.com/weride-raises-310m-funding-autonomous-vehicles/
Methodology: Verified · 6 sources (4 primary) · last reviewed 2026-06-28
Verification posture
Verified
High confidence
Review state
Stable
Last reviewed 2026-06-28
Maturity + lifecycle
Maturity stage: commercial
Sources by quality tier
- 3
- primary-company-ir
- Company IR disclosure
- 2
- secondary-trade-publication
- Trade publication
- 1
- primary-sec-filing
- SEC filing
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for WeRide One.Canonical ID 7f2a888b-a0d2-44db-aa59-2271a77e5bdb