About

Amir Behbehani is an experienced operator and investor with a focus on data-market fit. He has a keen eye for identifying companies that have the potential for both exit and IP creation in the AI space, with a particular emphasis on those with domain expertise and data. Currently, Amir works as a private investor, leveraging his extensive knowledge and expertise to identify promising investment opportunities. He has a track record of success in this area, having worked with a number of companies in the past as an advisor and helped them to develop their IP portfolios. One such company is metadata.io, where Amir served as an advisor. He helped the company to develop a system that uncovers attribute-condition pairs from sales funnel data, which can then be used to run capital-efficient advertising campaigns. Another company that Amir advised is hurdl inc., where he helped to build and license a live-music recommendation system that takes data from concert attendees and enables music labels to cross-sell into new audiences. Amir's educational background is in mathematics, having earned a Bachelor's degree from Stanford University. He has since gained over 15 years of relevant experience in the tech industry, with a focus on AI and recommendation systems. His tech stack includes expertise in these areas, as well as a deep understanding of data analytics and data-driven decision making. Overall, Amir Behbehani is a seasoned investor and operator with a strong track record of success. He brings a wealth of knowledge and expertise to any project he works on, and is always on the lookout for promising investment opportunities in the AI space.