DeepSeek founder Liang Wenfeng held a 3-hour-44-minute closed-door briefing for his company's first outside investors on May 20, 2026, walking them through an AGI-first strategy, a 20,000-GPU fleet, and a secret chip development program. When a recording and transcript of the meeting leaked across Chinese social media in late July, the disclosure went viral, and Wenfeng told prospective backers to pause a second fundraising round that had been targeting a pre-money valuation of approximately 480 billion yuan, equivalent to about $71 billion, Fortune and The Japan Times reported.
A First External Round and a Rare Public Accounting
The May 20 meeting was DeepSeek's first formal debrief for outside investors. The company had never taken external capital before closing roughly 50 billion yuan, or about $7.4 billion, in its maiden financing round at a post-money valuation of approximately $52 billion, with Tencent, CATL, JD.com, and NetEase among the backers, Hello China Tech reported. Wenfeng personally contributed around 20 billion yuan, or about $3 billion, of that total, funding a significant share of the round himself.
The structure of the raise reflects his stated philosophy: disciplined capital deployment, no rush to outside money, and full founder control retained as long as possible. From its founding in 2023 through early 2026, DeepSeek operated entirely on High-Flyer capital while releasing models that set international benchmarks.
StartupHub.ai data shows DeepSeek AI operating with 162 employees at the time of the funding close, implying roughly $46 million raised per employee. Among the Chinese AI companies we track, that ratio is exceptional, pointing to an operational intensity that matches the lean-team approach Wenfeng described to investors.
AGI Over Revenue: What Wenfeng Told Shareholders
Wenfeng was direct about DeepSeek's hierarchy of goals: reaching artificial general intelligence, not building the next super app or maximizing near-term revenue. He told investors the company would not pursue 3D generation, video generation, or world modeling, framing these as distractions from the core AGI path. On the question of open-source releases, which have eroded potential licensing revenue, he offered a rationale that went beyond altruism. Per a transcript summary published by Recode China AI, he told investors: "Restraint is a strategy used to increase the probability of achieving AGI." By publishing model weights, DeepSeek creates competitive pressure on its own models and forces faster internal iteration.
