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Founder of DeepSeek secures $51.5 billion valuation, injecting 40% personal funding in latest funding round, showcasing rapid

Editorial illustration for Deepseek eyes USD 51.5B value, founder funds 40% of round; Core Automation up 4x

Deepseek eyes USD 51.5B value, founder funds 40% of...

Updated: 4 min read

Liang Wenfeng is buying the rumor and selling the stock. The Deepseek founder will fund up to 40% of the company's next round himself, a move that could push its valuation beyond $51.5 billion. He’s not waiting for outside believers.

At the same time, a startup called Core Automation, founded just six weeks ago by an ex-OpenAI researcher, has already quadrupled its worth. It's now aiming for a $4 billion valuation. Deepseek is pushing its commercial plans, with a new model version scheduled for June.

It will add business tools and the ability to handle images and sound. This is happening while investors still question how the company will make money and as it loses key staff to rivals like Xiaomi and ByteDance. The market’s message is blunt: right now, velocity and founder skin in the game count for more than a spreadsheet.

Founder Liang Wenfeng plans to personally contribute up to 40 percent of the round, and the deal could push Deepseek's valuation past $51.5 billion. The company is also ramping up its commercialization efforts, with plans to release DeepSeek V4.1 in June featuring more enterprise tools, improved MCP support, and image and audio processing. Investors had previously raised concerns about the company's lack of revenue and the loss of key researchers to Xiaomi and ByteDance, according to The Information. Meanwhile, Core Automation--a startup founded by former OpenAI researcher Jerry Tworek just six weeks ago--is reportedly already targeting a valuation of around $4 billion.

Forget the dizzying figures. They are just symptoms. The real shift is in the bets being placed.

Liang’s personal check isn’t about confidence. It’s a signal to the market that he’s done asking for permission. His June product release, packed with features for paying customers, is a direct answer to the skeptics.

Meanwhile, Core Automation’s rocket ride shows the frenzy hasn’t cooled. It has simply bifurcated. Established players are digging moats.

Newcomers are building trebuchets. Capital is no longer cautiously evaluating the field. It is actively funding both the siege and the defense.

This isn’t a gold rush anymore. It’s a land war.

Common Questions Answered

Why is Deepseek founder Liang Wenfeng funding 40% of the company's next round himself?

Liang Wenfeng is personally funding up to 40% of Deepseek's next funding round as a signal to the market that he is confident in the company's direction and no longer waiting for outside investor validation. This substantial personal investment could push Deepseek's valuation beyond $51.5 billion, demonstrating his commitment to the company's growth strategy.

What is Core Automation and why has it experienced such rapid growth?

Core Automation is a newly founded startup established just six weeks ago by an ex-OpenAI researcher that has already achieved a 4x increase in value. The startup's rapid growth reflects the ongoing frenzy and capital competition in the AI industry, where newcomers are quickly attracting significant investor interest.

How does Deepseek's June product release relate to addressing market skepticism?

Deepseek's June product release, which is packed with features for paying customers, serves as a direct response to skeptics about the company's viability and market position. Rather than relying solely on funding announcements, Liang is demonstrating the company's capabilities through tangible product offerings to validate investor confidence.

What does the article mean by saying capital has 'bifurcated' in the AI market?

The article suggests that the AI investment landscape has split into two distinct strategies: established players are focused on building competitive moats to protect their market position, while newcomers like Core Automation are aggressively building new capabilities to disrupt the market. This bifurcation reflects how different types of companies are approaching growth and competition in the rapidly evolving AI sector.

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