GameRun, a startup using AI to analyze athlete movement and performance, has raised $4 million in funding. The investor group consists of former athletes, professional team owners, college coaches and athletic directors.
GameRun’s technology, developed by “experts” in the field of AI and trained by professional athletes, “delivers near-real-time, data-driven insights for athletes, coaches, and organizations.” The funding will support expansion across baseball, hockey, soccer, and basketball, and will include investments in hiring and product development.
GameRun, founded in 2024, said its platform is “used by more than 40 organizations, including universities, elite academies, leagues, and competitive training programs. Regional Directors at USA Baseball have integrated GameRun into the player selection process for the National Team Identification Series (NTIS), using GameRun to identify and develop elite players.”
“GameRun is building the infrastructure layer for human performance,” said Kapil Rathi, CEO and founder of GameRun. “We are moving beyond traditional video analysis to a system that understands biomechanics, predicts outcomes, and fundamentally changes how athletes train and improve. We believe this is the beginning of a new category in biomechanical intelligence and data.”
Jeff Schaefer, a former MLB player for the Chicago White Sox, Seattle Mariners, and Oakland Athletics, and current regional director at USA Baseball, added: “I’ve spent my life around this game, and I can say confidently that this technology will change baseball as we know it. GameRun brings a level of insight and precision that made me a true supporter of the product.”
Keith Glauber, a former MLB pitcher with the Cincinnati Reds, commented: “What GameRun is doing sits at the intersection of sports, data, and performance. I genuinely wish that I had this when I was growing up.”
Image courtesy GameRun
