Report: Tencent Invests in New AI Lab Founded by Former Alibaba Qwen Researcher Lin Junyang
Taylor Wilson
Tencent put $20 million into a new AI lab founded by Lin Junyang, former lead researcher on Alibaba's Qwen models; the round totalled hundreds of millions of dollars at a $2 billion post-money valuation — a figure almost unheard-of for a just-launched Chinese AI startup.
Where did the money come from, and how big is the round?
Gaorong Capital and Sequoia China co-led, each committing $100 million. Tencent followed with $20 million.
The round totalled hundreds of millions of dollars, valuing the lab at roughly $2 billion post-money.
This means → top-tier VCs and an internet giant are all betting on the same founder — not one firm gambling alone, but three moving in concert.
Who is Lin Junyang, and why does his lab command this price?
Lin was the lead researcher on Alibaba's Qwen model family — one of the top open-source large language models globally.
He left Alibaba in early March, announcing his departure on X before any official Alibaba statement.
In plain terms = he walked out carrying the credential of "built one of China's best open-source LLMs," and that track record is the core reason investors accepted a $2 billion valuation.
What does a $2 billion valuation mean in the Chinese context?
Sources note that Chinese AI startup valuations are typically well below those of U.S. peers.
$2 billion for a newly formed AI lab is exceptionally rare in China.
This reflects two things: Lin's personal scarcity value, and the fact that capital in China's LLM race is concentrating around top-tier talent.
Why is Tencent backing yet another LLM company?
Tencent has already invested in Moonshot AI, MiniMax, Zhipu, and is reportedly involved in DeepSeek's fundraising.
This means → Tencent's strategy is not "pick one winner and go all-in" — it is spread the net wide and lock in every promising team on the track.
The deal just closed, and Lin is already preparing the next funding round — the pace is very fast.
Content is for reference only, not financial advice.