Jerry Shu is the Co-Founder and CTO of Daylit (formerly Lendica), an AI platform building autonomous finance agents that help enterprises automate accounts receivable, improve cash flow visibility, and streamline working capital management. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~Daylit's AI agents enable finance teams to reduce manual collections, monitor aging receivables, and generate real-time financial intelligence to improve business performance. Before founding Daylit, Jerry co-founded Manticor and worked as a Quantitative Research Associate at J.P. Morgan, where he developed algorithmic indices and pricing models for equity derivatives. His background combines deep expertise in quantitative finance, machine learning, and enterprise software, giving him a unique perspective on applying AI to one of the largest untapped opportunities in business operations. Jerry holds a Master's in Finance from the MIT Sloan School of Management and a Bachelor's degree in Quantitative Finance and Risk Management from the City University of Hong Kong.Topics

How autonomous AI agents are transforming accounts receivable, cash flow management, and enterprise finance operations
Applying quantitative finance and AI to modernize the office of the CFO and unlock working capital
Building AI-native financial infrastructure: lessons from quantitative trading, enterprise software, and startup leadership

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