Karina Hong is not waiting for her graduation to take up Wall Street.
According to an exclusive information report, the Stanford Mathematics PhD student has raised $50 million for her AI startup, Axiom.
The company has not yet launched any products, but is already following a valuation of between $300 million and $500 million. pitch? Build AI that can solve complex math problems. Prioritize enough to drive a hedge fund strategy.
Stanford’s student Karina Hong is raising $50 million for her AI startup axiom
The company, which aims to develop advanced mathematical solution AI for quantitative and hedge funds, targets valuations of between $300 million and $500 million despite being a pre-biotic.
The axioms are led by a new wave of AI startups that are attracting investors’ attention, particularly by a young founder with a serious academic chop, addressing very specific issues.
“Stanford doctoral mathematics students are raising $50 million to solve quantum and hedge fund mathematics,” the information reports.
Axiom develops large-scale language models trained with mathematical evidence and applies their inferences to quantitative funding and risk analysis. The pitch is attracting investors’ attention. If AI can solve deep math problems, it could also crack the market patterns that human quantz has missed. The information reports that axioms bet on that leap.
Hon’s background helps explain the topic. Born in Canton, China, she is a first-generation university student who has a degree in mathematics and physics from MIT, studied neuroscience at Oxford, and is currently pursuing JD/PhD as a Knights’ Scholar at Stanford University. She has won an academic award, spoken at the International Research Council and has been widely published in peer-reviewed journals.
At first, Hong was thinking about a quantitative financial career. However, during her time at MIT, she realized that something else had lit up her. “Mathematics research is really fun.” Her passion paid off. In 2022, she received the prestigious Alice T. Schafer Award from the Association of Women in Mathematics, which was given annually to the top women’s mathematics majors in the United States.
“It took Hong only three years to complete her MIT degree in mathematics and physics. She was then accepted into the Stanford University Doctoral Program in Mathematics, but before she began, she was offered a ‘amazing opportunity’.
“I wanted to understand biology better,” she said in an interview with Slice at MIT. “There’s a really big world beyond mathematics and physics in science, and understanding mathematics in one axis or another can extend to science space. At least it was my mental model.”
The numbers around Axiom reflect the current climate. AI startups have strong talent and keen papers. In particular, finance is betting on tools that promise better modeling, faster trading and smarter risk decisions. Investors are looking for: The technical depth of Hong gives them a reason to tilt.
Still, the company is quick. Axiom has yet to prove its product and is entering the busy business sector to apply AI to high-stakes financial issues. Building trust with institutional clients is as difficult as building the technology itself.
But once Hong pulls it apart, Axiom could become one of the rare startups that will leap into legacy systems by moving fast and getting math right rather than breaking things.
For now, all tables are in what comes next.
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