DeepSeek names first CFO ahead of IPO, sharpening its low-cost AI push

- DeepSeek is hiring GL Ventures dealmaker Yan Wentao as its first CFO and has lined up underwriters including CITIC Securities for a possible Shanghai STAR Market listing.
- Fundraising talks have valued the company near $74 billion.
- A public listing would give one of China’s most cost-competitive AI labs deeper capital just as Chinese models close the performance gap with U.S. rivals at a fraction of the price, adding pressure to the premium pricing and heavy infrastructure spending underpinning the U.S.-led AI boom.
DeepSeek, a Chinese frontier laboratory, intends to name Yan Wentao, a part at GL Ventures, as their inaugural CFO. This development will provide the company with financial-market expertise as they get ready for a potential IPO.
As a company that prides itself on developing capable models at extremely low prices, an IPO will help DeepSeek raise funds for chips, computing infrastructure, and recruiting talent while also increasing the pressure on its U.S. competitors.
From hedge-fund side project to IPO candidate
For most of its relatively short existence, DeepSeek has stayed away from the traditional venture-capital cycle. The firm was set up in 2023, and its founder used cash from his quantitative hedge fund High-Flyer to finance it until DeepSeek started to seek funds from external sources earlier this year.
Yan, born in 1991, as reported by Reuters, has made investments in AI companies such as MiniMax, a rival of DeepSeek. He is with GL Ventures, which is the venture arm of Hillhouse Investment. Hillhouse itself is not among the investors in DeepSeek.
With his appointment, DeepSeek will get a senior executive whose responsibility will lie in investor relations and financial management, just as the company switches to more conventional financing.
The listing machinery is already moving
As stated by the South China Morning Post, DeepSeek has appointed underwriters, including CITIC Securities, and hopes to start the IPO process this year in order to be listed on the STAR Market in Shanghai. Furthermore, it is in the process of securing financing before the IPO, which is expected to bring the company around ¥500 billion (or $74 billion) in value.
According to Reuters, DeepSeek hopes to raise ¥50 billion in the current round. Prior to that, it had an investment of $7.4 billion in June, which was estimated to be valued at nearly ¥450 billion after term sheets were signed. However, the final valuations indicated a total of ¥350 billion (or $52 billion) only. Major Chinese entities, including Tencent and CATL, and a number of other private investors invested in the company.

Additionally, regulations are getting friendlier. In June, the Shanghai Stock Exchange published guidelines governing the fifth set of listing criteria applicable to “large-model companies”. Companies wishing to launch their IPO must be able to show at least a model already operating and widely used. The exchange acknowledged that the field requires significant investments in computing power and specialist talent.
Why cheap models make this a global story
One of the key reasons why DeepSeek has a competitive edge over its competitors is its pricing strategy. According to research conducted by Juniper Research, Chinese AI models are capable of being run at a cost of up to 90% lower than some of the most popular alternatives in the US, which could have significant implications for organizations willing to invest in a large data center operated by Western companies.
The DeepSeek-V4.1-Flash illustrates this competitive pricing. According to VentureBeat, the DeepSeek model has achieved a cached-input rate of just $0.003 when the rate of GPT-5.6 Sol is $0.40, and of Claude Opus 5 is $0.50.

Traditionally, cheaper models have not been able to keep up with the most advanced options. However, this trend is changing quickly. The 2026 AI Index published by Stanford suggests that top-performing AI models in the USA have been only 2.7% ahead of the top Chinese model as of March 2026, with the two countries having swapped places in numerous ratings since early 2025. The RAND research has indicated that US and Chinese AI models are becoming increasingly similar in terms of architecture, commercial positioning, and the approach to developing foundation models.
Enterprises have begun to make their decisions based on cost. Airbnb and Siemens are two companies that are looking at Chinese technology, while Thomson Reuters has adopted Alibaba’s Qwen as a substitute for Claude to manage document reviews. It is still the case that the US-machine-based approach remains at the forefront in handling the most complicated tasks; however, alternatives are gaining ground.
Thus, the IPO of DeepSeek is no longer just a capital markets story for China. As reported by Cryptopolitan, investors may use the future IPOs of Anthropic and OpenAI to see how fast today’s AI implementation will transform itself into profitable economics. A company like DeepSeek with backers from the public sector will offer its customers and investors a much cheaper standard for this.
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FAQs
Who is DeepSeek hiring as its first CFO?
DeepSeek plans to appoint Yan Wentao, a partner at GL Ventures and a dealmaker born in 1991 whose past investments include DeepSeek rival MiniMax, according to Reuters. GL Ventures is the venture arm of Hillhouse Investment, which is not itself a DeepSeek shareholder.
Where does DeepSeek plan to list, and at what valuation?
DeepSeek has tapped underwriters including CITIC Securities and aims to list on the Shanghai Stock Exchange's STAR Market this year, per the South China Morning Post, with a pre-IPO round valuing it at about 500 billion yuan, or roughly $74 billion, before investment.
Why does a DeepSeek IPO matter for U.S. AI companies?
Chinese models already run up to 90% cheaper than leading U.S. ones, according to Juniper Research, while Stanford's AI Index shows the performance gap down to 2.7%, so extra capital could help DeepSeek press its low-cost advantage against U.S. labs defending premium prices and large data center spending.
Disclaimer. The information provided is not trading advice. Cryptopolitan.com holds no liability for any investments made based on the information provided on this page. We strongly recommend independent research and/or consultation with a qualified professional before making any investment decisions.

Ibiam Wayas
Ibiam Wayas has covered the crypto news beat since 2019. He studied Computer Science at National Open University of Nigeria. His work has appeared on various crypto news platforms, including Coinfomania, Crypto News Australia, and AltcoinBuzz. Drawing on his background in Computer Science, he now focuses on crypto, robotics, and longevity news.
















