AI-driven

Ahuora is an investment management firm that uses AI to identify and trade on investment opportunities

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Proven Performance

AhuoraXP consistently outperforming the S&P 500 since 2017.

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AI for Investing

A set of AI models take diverse quantitative and qualitative inputs and produce recommendations.

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Alignment of interest

The portfolio manager is the largest investor in the fund, holding the majority of its value.

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Our Company

Founded in 2017 by two pioneering scientists, Ahuora harnesses the power of AI and customer research to transform stock trading.

  • Based in Cupertino, CA
  • Scientist Founders

Ahuora is

Our Leaders

Sia Gholami

Sia Gholami

Sia Gholami is a distinguished expert in the intersection of artificial intelligence and finance. He holds a bachelor's, master's, and Ph.D. in computer science, with his doctoral thesis focused on efficient large language models and their applications—an area crucial to the development of advanced AI systems. Specializing in machine learning and artificial intelligence, Sia has authored several research papers published in peer-reviewed venues, establishing his authority in both academic and professional circles.

Sia has created AI models and systems specifically designed to identify opportunities in the public market, leveraging his expertise to develop cutting-edge financial technologies. His most recent role was at Amazon, where he worked within Amazon Ads, developing and deploying AI and machine learning models to production with remarkable success. This experience, combined with his deep technical knowledge and understanding of financial systems, positions Sia as a leading figure in AI-driven financial technologies. His extensive background has also led him to found and lead successful ventures, driving innovation at the convergence of AI and finance.

Saba Khashe

Saba Khashe

Saba Khashe is a highly accomplished researcher and expert in designing systems for AI-driven hedge funds. She holds a bachelor's degree, two master's degrees, and a Ph.D. from the University of Southern California, where she specialized in Human-Computer Interaction. Saba has authored several high-impact research papers published in peer-reviewed venues, showcasing her expertise in integrating human-in-the-loop systems. Her work focuses on incorporating both qualitative and quantitative measures into AI systems, ensuring that these technologies are advanced, practical, and user-centered.

In her most recent role at Atlassian, Saba is dedicated to developing products that create significant value for all stakeholders, further solidifying her reputation as a leader in the field. Her unique combination of skills makes her a key figure in optimizing AI-driven financial systems.

Ehsan Roosta

Ehsan Roosta

Ehsan Roosta has worked in both the technology and financial industries. Most recently, he has been managing private clients' assets, investing in financial markets, real estate, and private opportunities. Prior to his work in investment management, Ehsan covered Consumer & Retail companies at Wells Fargo Investment Banking and Capital Markets Group. At Wells Fargo, he was responsible for various capital markets and M&A transactions. In the technology sector, Ehsan was an early design engineer at the high-tech startup ClariPhy Communications (later acquired by Inphi). He earned a master's degree in electrical engineering from the University of Southern California and an MBA from the University of Chicago Booth School of Business, with a focus on Accounting, Economics, and Finance.

Our Funds

AhuoraXP is an investment fund that merges advanced AI and machine learning with human expertise to create superior investment strategies. By leveraging sophisticated technologies, AhuoraXP analyzes extensive datasets to identify market opportunities and generate high-confidence investment recommendations, which are then validated by experienced portfolio managers.

AhuoraAT is an investment fund that uses machine learning autonomously analyzes vast amounts of market data to identify optimal buy and sell opportunities without human intervention. These algorithms execute trades in real-time, leveraging AI's predictive capabilities to maximize returns and manage risks effectively.

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If you are interested in learning more, please don't hesitate to contact us. You can reach out via email at . or call us at . Our team is ready to assist you with any questions.