#163 Gemini Sports Analytics - Cloud-based automated machine learning to enable non-technical stakeholders and empower data scientists

Interviewing Jake Schuster, CEO of Gemini Sports Analytics In this conversation, Jake talks about his background as a Strength and Conditioning coach and his work in biomechanics. As a proud, non-technical, solo founder, Jake discusses how Gemini Sports Analytics aims to simplify data-driven decision-making for sports executives by offering an easy-to-use application. This tool can help sports organizations optimize their decision-making processes and improve their overall performance. Jake mentions that the company has been funded for about a year and that they launched their application towards the end of last year. Currently, they have eight partners, half of whom are in football, which is attributed to the timing, networks, and common problems faced by teams in this sport. However, the company believes that any sport aiming to use predictive analytics in their talent identification, scouting, and roster management process can benefit from their product. Gemini Sports Analytics is empowering excellence through faster insights, improved predictions, and better decisions. They support organizations in the business of improving athlete welfare and enhancing performance, while also leveraging AI to modernize athlete management. While sports teams collect vast amounts of data without meaningfully improving athlete outcomes, Gemini Sports Analytics has a no-code predictive analytics platform that puts machine learning tools in the hands of non-technical stakeholders, which will change how organizations acquire, develop, and manage their athletes. To learn more, visit www.geminisports.io. Hosted by Rohn Malhotra from SportsTechX - Data & Insights about SportsTech startups and the surrounding ecosystem.