Brian Lent
Brian Lent is the Founder and Managing Partner at VQ Capital and serves as a Member of the Founding Board at the University of Washington Information School. He previously founded Intelligent Results, Medio Systems (acquired), Plunk (closed), and VQ Capital, and has held leadership roles at Amazon.com, Auger, HERE Technologies, and IBM. His expertise includes AI, data science, machine learning, and analytics.
Ex-Amazon and Expedia Executives Launch VQ Capital, AI and Cyber Intelligence Investment Firm Backed by Family Offices
Former Amazon and Expedia leaders Brian Lent and John Kim, along with partners Yotam Avrahami and Praveen Hirsave, have launched VQ Capital, an AI-native investment firm focused on AI and cyber intelligence. Headquartered in New York with plans for a Seattle hub, VQ Capital partners with family offices to invest on a deal-by-deal basis in transformative AI and cybersecurity technologies.
Former Amazon CEO Dave Clark's Supply Chain Startup Auger Names 11 Executives After $100M Series A
Dave Clark, former Amazon Worldwide Consumer CEO, founded supply chain tech startup Auger, which named an 11-person executive team mostly composed of Amazon alumni after raising $100 million in Series A funding. The startup operates out of Bellevue, Washington, leveraging shared Amazon expertise to innovate in supply chain and data infrastructure.
Brian Lent
Brian Lent is a data science pioneer who has been at the forefront of data mining, machine learning, forward-thinking analytics, and leading-edge AI technology for over three decades. As the Co-Founder and CEO of Plunk—the first mobile app helping homeowners grow their largest financial asset—Brian is working with a world-class team to bring advanced data mining, AI & ML algorithms to residential real estate. Prior to Plunk, Brian founded the mobile analytics company Medio Systems, supporting 440+ million users in over 100+ countries. Brian also started one of the first data analytics teams at Amazon in the late 1990’s when…
Organizations
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Education
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Stanford University MSCS / Ph.D. Candidacy, Computer Science (AI & Database focus)
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University of Nevada, Reno BS, Computer Science
