About

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Leadership

You only care about the results, so we’ve built an organization that focuses on solving problems, not building the best models. We have assembled a diverse team (by skills, experience and verticals) that focuses obsessively on solving business problems and creating solutions to meet those challenges.

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Gaurav Gupta

CEO & Founder Bio
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Larry Blakeman

COO & Co-founder Bio
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Nathan Law

CTO Bio

Advisors

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Krishna Gopinathan

Krishna Gopinathan is a serial entrepreneur and AI leader with 30+ years of experience scaling data-driven fintech businesses.

As founder and CEO of Applied Data Finance (ADF) he grew it to $300M in annualized loan bookings and $100M in revenue within five years. Under his leadership, ADF was ranked #8 in the Americas by the Financial Times and appeared on the Inc. 5000 for three consecutive years.

Earlier, Krishna invented and patented the Falcon credit card fraud detection system at HNC Software (acquired by FICO for $800M) – today the global standard in fraud detection. He also co-founded Gain Credit, one of the largest online installment lenders in the UK.

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Rob Biggers

Rob spent most of his career working in traditional and digital advertising and marketing firms. He has deep experience in client facing program and account management, creative services management and agency operations roles with a concentration in high-volume print and digital direct marketing. Industry expertise includes Finance, Pharma, Entertainment, CPG and Non-profit.

 

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Raymond Ho

Raymond has more than 15 years of experience in the Consumer Financial industry revolving around the new customer acquisition space. He has worked for leading brands such as American Express, Wells Fargo, and LendingClub and is adept at operating at the intersection of direct marketing, credit risk, and product development. Raymond has always been passionate about optimization, both in solving business problems and in tackling life challenges, and is particularly excited to help Direct Marketers reimagine and discover what is possible in hyper-personalization.

 

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