Rogo Founder Gabe Stengel Discusses AI Infrastructure and Agent Deployment in Finance
Episode 492 of Invest Like the Best features Gabe Stengel, co-founder and CEO of Rogo, discussing how financial institutions are reinventing themselves around AI. Stengel analyzes the importance of the 'last mile' and harnesses around models, the shift from seat-based to outcome-based pricing, and the construction of an internal data brain called 'Shrek'. The episode offers specific industry perspectives for readers interested in AI implementation in finance.
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This episode of Invest Like the Best (Episode 492) features Gabe Stengel, co-founder and CEO of Rogo. Rogo is an artificial intelligence platform built specifically for the finance industry, designed to help bankers and investors automate workflows such as due diligence, modeling, and analysis delivery. Stengel discusses how top investors will spend the next several years reinventing their firms around AI, and how Rogo aims to build the infrastructure that allows them to do it.
Key topics include how Rogo evolved alongside frontier models, and why the 'last mile' and the harness around the models matter so much. What happens when every portfolio manager can deploy thousands of agents against a problem? Stengel also shares insights on how AI could transform the way capital is raised, assets are priced, and deals get done. Additionally, the conversation covers which investing skills become more valuable as AI improves, and the move from seat-based to outcome-based pricing.
For readers focused on enterprise AI adoption, this episode provides details on Rogo's internal company brain called 'Shrek', as well as Stengel's experience receiving 40 investor rejections before his Series A. These elements reveal the extraordinary aggression required to build in applied AI and what it takes to become a black hole for talent and capital. While a full transcript is not provided here, based on the publisher's detailed timestamps and topic list, this resource offers concrete context for understanding the practical deployment challenges of vertical AI in the financial sector.