GameRun Raises $4 Million to Accelerate Biomechanical Intelligence in Sports
Transforming how athletes develop, perform, and compete through AI, physics, and human performance
New York, NY — April 13, 2026 — GameRun, an AI platform focused on human performance and injury risk identification, today announced it has raised $4 million in funding to accelerate development of its proprietary GameRun technology, including investments from former professional athletes and family offices.
GameRun’s technology, developed by AI experts 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's biomechanical intelligence platform is already trusted 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, 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, 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.”

