Fundraising for Video AI and Sports Tech Founders

This course provides a strategic framework for founders at the intersection of video AI and sports technology to secure venture capital. It begins by analyzing the current investment climate, focusing on the transition from descriptive video records to prescriptive AI-driven insights. Participants will learn how to identify and articulate an Unfair Advantage within the sports industry, whether through athlete performance optimization or fan engagement. A significant portion of the training focuses on building a Data Moat. This involves moving beyond public datasets to leverage proprietary training data and closed-loop systems that improve with use. Founders will explore the technical trade-offs between real-world footage and synthetic data while learning to secure intellectual property rights through early-stage partnerships. Beyond technology, the curriculum addresses the commercial challenges of scaling a sports tech startup. It outlines strategies to move past pilot purgatory by establishing repeatable sales motions and high-margin recurring revenue models. Practical modules demonstrate how to visualize complex computer vision concepts, such as skeleton tracking and predictive paths, to create effective pitch decks for technical and non-technical investors. The series also prepares founders for rigorous technical due diligence, covering accuracy benchmarks, latency, and data privacy regulations like GDPR regarding biometric data. Final sessions focus on post-round operations, including board management, negotiating liquidation preferences, and scaling engineering teams. This course serves as a roadmap for turning specialized video AI tools into fundable, enterprise-level sports technology companies.