As sports media organizations continue to explore new ways to streamline their production workflows, Flowstate AI promises to transform hours of unstructured footage into intelligent content that is searchable and actionable. Built on technology originally developed for self-driving vehicles and defense applications, Flowstate’s AI agents analyze video at the pixel level and extract meaning from every frame to power intelligent search, automatic tagging, live analysis, and near real-time highlighting.
While traditional video workflows require hours of manual review, Flowstate transforms unstructured footage into searchable, actionable content at scale. For sports broadcasters, teams and media companies, this means faster turnaround times for short-form content, smarter monetization with sponsor discovery and ad optimization, and entirely new fan engagement experiences, from live game chat to personalized post-game analysis.
SVG sat down with Sahil Shah, founder and CEO of Flowsate AI, to discuss the platform’s agent approach to video understanding. Rather than relying solely on a base model, Flowstate’s AI agent continuously learns from user feedback and integrates custom and proprietary models to deliver the accuracy and speed that live sports production demands.
