Listen "AI for Credit Decisioning: Ocrolus’ Sam Bobley"
Episode Synopsis
Welcome to The Financial Technology Report, a leading information source on financial technology companies and solutions.
In this episode, we speak with Sam Bobley, Co-Founder and CEO of Ocrolus, a document AI platform used by financial institutions to automate and improve credit decisioning. The company enables lenders to classify documents, extract critical data, detect fraud, and run cash-flow and income analyses across small business, mortgage, and consumer applications. Ocrolus now works with more than 500 customers and has analyzed over 300 million pages of financial documents.
Sam launched the company in 2014 and continues to guide its strategy, technology roadmap, and customer partnerships. Under his leadership, Ocrolus has expanded its use of applied AI in underwriting workflows and has secured over $100 million in venture funding from leading investors while becoming a core infrastructure provider for many leading fintech and lending organizations.
I am your host, RJ Lumba. We hope you enjoy the show. If you like the episode, click to follow.
In this episode, we speak with Sam Bobley, Co-Founder and CEO of Ocrolus, a document AI platform used by financial institutions to automate and improve credit decisioning. The company enables lenders to classify documents, extract critical data, detect fraud, and run cash-flow and income analyses across small business, mortgage, and consumer applications. Ocrolus now works with more than 500 customers and has analyzed over 300 million pages of financial documents.
Sam launched the company in 2014 and continues to guide its strategy, technology roadmap, and customer partnerships. Under his leadership, Ocrolus has expanded its use of applied AI in underwriting workflows and has secured over $100 million in venture funding from leading investors while becoming a core infrastructure provider for many leading fintech and lending organizations.
I am your host, RJ Lumba. We hope you enjoy the show. If you like the episode, click to follow.
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