MENLO PARK, CA — Learn To Win, a leading provider of dynamic learning tools for many athletic organizations, is pleased to announce that the University of Michigan Wolverines have signed a two-year deal with Learn to Win. The Wolverine organization will use Learn to Win’s cutting-edge brain science software to improve their coaching instruction and game day preparation.
Learn to Win will deliver the Michigan Wolverines many tools to create an unmatched advantage. Their coaches and staff will now be able to create personalized lessons and quizzes that will educate and prepare their players for high intensity environments. Teams will access real-time analytics that can identify their team’s mental weaknesses and correct them before they occur on Game Day. The software is available online and on mobile devices. Learn to Win’s advanced software components will enable Wolverines’ coaches and staff to teach their players outside of practices and meetings.
“We’re so excited for Michigan football to join the Learn to Win family,” says Learn to Win co-founder Sasha Seymore. “The tradition and history of Michigan football speak to how highly they value preparing their players to be elite, and we’re excited to be an essential part of their pre–season and game day preparation.”
In addition to athletic training, Learn to Win has partnered with the U.S. Air Force and Navy and is a leading innovator in high performance mental training technology. The Carolina Panthers join prominent NCAA Division I football programs at Michigan, Michigan State, South Carolina, Mississippi, Georgia, Baylor, and North Carolina as members of the Learn to Win football family.
About Learn to Win:
Learn to Win is an interactive, mobile – first microlearning platform that enables teams and organizations to learn more material, faster and more efficiently. Founded in 2018 by a team of Stanford graduate students, the company’s unique learning approach has transformed the training experience for athletic programs, the US military, and enterprise organizations.