It currently supports 13 sports -- basketball (M/W), football, soccer (M/W), volleyball (M/W), baseball, softball, ice hockey (M/W), and lacrosse (M/W). The long term goal is to support as many of the ~40 college sports as possible. By sourcing the data, cleaning the data, and normalizing the data, Tosch.ai can present a single view access where one can easily compare programs side by side through the perspective the of the team view (sports specific stats, stat trend analysis going back to 2021), and AI powered analysis to achieve expert level analysis of program strength and weaknesses. In addition, Tosch.ai provides coach analysis where team performance and coach turnover is visible. It also provides individual performance stats, and roster analysis. Lastly, Toschi.ai provides an API and free text entry querying (facilitating AI prompt engineering) against the entire platform in order to create custom reporting against the comprehensive data set. Via subscription, Tosch.ai can sell access to this content and the analytics tools to the full spectrum of college sports personas including student-athletes, college counselors, coaches, athletic directors, sports agents, and sports enthusiasts.
Tosch.ai is building “Bloomberg” for college sports – the first AI powered unified data & analytics for college sports. Tosch.ai aggregates disparate performance data and surfaces insights for stakeholders including student-athletes, coaches, athletic directors, agents, and sports enthusiasts.