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Published on February 13, 2025

Liang Wenfeng Net Worth – Earnings of DeepSeek Founder

Jenny Jones-author-image Camellia Cyrus
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Liang Wenfeng Net Worth – Earnings of DeepSeek Founder

Celebrity at a Glance

Name Liang Wenfeng
Birth Date 1985
Birth Place Wuchuan, Guangdong, China
Gender Male
Height 5 Feet 7 Inches
Profession Entrepreneur, Businessperson
Nationality Chinese

Liang Wenfeng is a Chinese entrepreneur and businessman. He is the co-founder of the quantitative hedge fund High-Flyer. These days, he is widely recognized as the founder of the Chinese AI Startup DeepSeek. In just a few weeks, he has established himself as the face of China's tech sector and its efforts to break free from the United States' increasingly strict export regulations.

Liang's strategy was unique in the Chinese tech sector, used to importing foreign ideas, such as electric cars and smartphone apps, and rapidly expanding them. Before founding DeepSeek, he founded other artificial intelligence-related businesses. He established Hangzhou Yakebi Investment Management in 2013. He made Zhejiang Jiuzhang Asset Management Company in 2015.

Now, let's move on to one of the best tech entrepreneurs, Liang Wenfeng net worth. Scroll down to get all the information about his AI businesses.

Liang Wenfeng Net Worth

Liang Wenfeng net worth is estimated at $1 billion. He has mostly gained money through his co-founding of DeepSeek and High-Flyer Capital Management. He has at least 76% of High-Flyer and about 84% of DeepSeek.

DeepSeek was valued between $1 billion and $150 billion. Using the median valuation, founder Liang Wenfeng's wealth might place him among Asia's top tech billionaires.

Early Life

In 1985, Liang was born in Wuchuan City, China. Both of his parents were elementary school teachers. Liang was educated at Zhejiang University, where he earned a Bachelor of Engineering in electronic information engineering in 2007. He earned a Master of Engineering in information and communication engineering in 2010.

As he studied, Wenfeng developed an interest in automation and artificial intelligence. Liang and his classmates established a team in 2008 to compile financial market data. Additionally, he oversaw the group's investigation into quantitative trading with machine learning and other technologies. This occurred at the height of the financial crisis in 2007–2008.

In 2010, he presented a thesis on enhancing AI surveillance systems. He looked at automating trading on the domestic stock market in China in addition to revising. In 2013, Wenfeng and a fellow student established the investment company Hangzhou Jacobi, which was named after the German mathematician Carl Jacobi.

Professional Life

  • High-Flyer Launch

Liang established High-Flyer AI in 2019 with the goal of doing research on AI algorithms and their fundamental uses. At this point, Liang Wenfeng High-Flyer managed assets worth more than 10 billion yuan. After a few years, the hedge fund rose to fame as one of the most prosperous quantitative trading companies in China.

Wenfeng also invested about $30 million to strengthen the hedge fund's AI capabilities, currently constructing specialized facilities to support up to 1,100 advanced chips. He then founded Hangzhou High-Flyer AI with the goal of encouraging more study into AI applications and strategies.

High-Flyer reported managing $14 billion in assets in 2021. Wenfeng purchased 10,000 Nvidia A100 chips for $155 million to support the business and its AI research. It had beaten the Chinese CSI 500 stock index in 2020 and had back-to-back record gains for several years in a row.

  • DeepSeek Launch

Liang Wenfeng DeepSeek company was founded in April 2023. Wenfeng made the decision to invest in a new business to develop an artificial general intelligence model after years of AI research through High-Flyer. Additionally, the High-Flyer hedge fund saw a scaleback at the same time. The business declared in October 2023 that it was cutting the amount of assets under control to $6 billion.

He said in July 2024 that the team was completely unaware of how sensitive pricing would be when DeepSeek-V2 was published and set off an AI price war in China. Instead of capital, China's innovation is lacking in confidence and understanding of how to organize talent.

On January 20, 2025, the company launched DeepSeek-R1, an open-source reasoning AI model with 671 billion parameters. The model was constructed at a cost of $5.6 million and uses only 2,048 Nvidia H800 GPUs, showing a resource-efficient methodology. DeepSeek replaced ChatGPT as the most popular free app on the U.S. iOS App Store by January 27, 2025.

  • The Instability of DeepSeek

Wenfeng's concept has become a dominant force in a race that was previously supposed to be extremely costly, and the launch of DeepSeek has rocked American markets. Due to concerns about cash-hemorrhaging market titans like OpenAI, the Chinese AI software sent American tech shares down when it first entered the U.S. market.

But Wenfeng's AI business is currently facing opposition abroad, despite its early success. A DeepSeek database was left insecure, revealing "more than a million lines of log streams with extremely sensitive information."

The study was released a day after the Italian Data Protection Authority, one of several nations that imposed limits on the Chinese-made program, issued an order banning DeepSeek nationally.

Read More: Reid Hoffman Net Worth – Earnings of LinkedIn Founder

Frequently Asked Questions

Q. Does DeepSeek beat ChatGPT?

DeepSeek employs a Mixture-of-Experts methodology, which makes it more effective and economical than ChatGPT. It performs well in mathematical calculations and technical jobs, but ChatGPT has more features and a better user experience.

Q. Is Liang Wenfeng married?

Yes, he is married. But his wife name is not publically known.

Q. Does DeepSeek have a free version?

In about three minutes, run DeepSeek-R1 locally for free! The AI community has been talking a lot about DeepSeek-R1. This model, created by the Chinese AI startup DeepSeek, is being contrasted with the best models from OpenAI.


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