卜拉格科技
Category: Robotics / Embodied AI
An AI lab founded by former Alibaba Qwen lead Lin Junyang, focused on world models and embodied-AI brains for physical-world intelligence. 卜拉格科技 was founded in 2026. The company is led by 林俊旸 (Lin Junyang / Justin Lin). Based in Shanghai, China. Team size: 1-10. Total funding raised: $220M. Latest round: Venture Round. Key investors include Gaorong Capital (高榕创投), Sequoia China (红杉中国), Tencent (腾讯).
- Founded
- 2026
- Headquarters
- Shanghai, China
- Team size
- 1-10
- Total funding
- $220M
Value proposition
Building next-generation world models and embodied-AI brains that are "embodied-native" — designed from first principles for physical-world intelligence, rather than retrofitting language models for robotics. The company aims to bridge the gap between AI reasoning and real-world action, enabling robots to understand, predict, and interact with physical environments.
Products and solutions
No products released yet. The company is focused on developing world models and embodied-AI brains (具身大脑) — AI systems designed from the ground up for physical-world interaction, enabling robots to perceive, reason, plan, and act in real environments. The technical direction is described as building "embodied-native" world models rather than adapting general-purpose LLMs for robotics.
Unique value
Founded by the architect of Qwen (one of the world's most downloaded open-source LLM families), with a unique linguistics-grounded approach to AI. The company targets the transition from "reasoning thinking" to "agentic thinking" — building AI that thinks in order to act in the physical world.
Target customer
Robotics companies, embodied AI developers, industrial automation firms, and enterprises seeking physical-world AI solutions
Industries served
Robotics, Embodied AI, Industrial Automation, Manufacturing
Technology advantage
Founder's track record as the architect of Qwen (one of the world's leading open-source LLM families); deep expertise in multimodal models, agentic systems, and reinforcement learning; strong investor backing providing substantial capital runway; unique "embodied-native" approach to world models
How they differentiate
Unlike most competitors that adapt general-purpose LLMs for robotics, Burage AI is building "embodied-native" world models from the ground up — AI architectures designed specifically for physical-world perception, planning, and action. The founder's unique background in linguistics (rather than pure CS) brings a different philosophical approach to AI architecture design.
Main competitors
极佳视界 (GigaAI/GigaWorld), 自变量机器人 (XBot/AutoBot), 银河通用 (Galaxy General), 灵初智能 (Lingchu AI)
Key partnerships
No formal partnerships announced yet (company is pre-product)
Notable customers
None yet (company is pre-product, founded May-June 2026)
Major milestones
2026-03: Lin Junyang steps down as Qwen tech lead at Alibaba, 2026-05/06: Registers multiple company entities including 上海卜拉格科技有限公司, 2026-06: Completes first funding round at $2B valuation with Gaorong, Sequoia China, and Tencent, 2026-06: Begins seeking next funding round
Market positioning
Premium-tier AI lab positioned at the intersection of world models and embodied intelligence. Despite having zero products or revenue at launch, the company achieved a $2B valuation — one of the highest first-round valuations for a Chinese AI startup — reflecting the founder's reputation and the strategic importance of the embodied AI market.
Geographic focus
China (primary); potential global expansion given founder's international recognition in open-source AI
About 林俊旸 (Lin Junyang / Justin Lin)
Ex-Alibaba Qwen Tech Lead (2022-2026), Alibaba's youngest P10; previously worked on M6 multimodal models at Alibaba DAMO Academy; MS in Linguistics & Applied Linguistics from Peking University; BA in English from University of International Relations
Official website: https://justinlin610.github.io/