#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.