Gemini Sports announced today that the San Jose Earthquakes have joined their exclusive early-partner group.
Gemini provides an easy-to-use AI application helping stakeholders at teams make better, faster decisions around Talent ID, Player Development, and Health & Performance. The Miami-based startup already has investment from an EPL team owner and are working with partners across the NFL, NCAA, and UEFA.
San Jose’s fast-growing analytics operations will harness subscriptions to GSA’s AI Cloud application, accessing it’s powerful Automated Machine Learning capabilities, soccer data pipelines, and Pre-Built AI projects.
Earthquakes General Manager Chris Leitch said, “Leveraging the latest technologies is obviously a deep-rooted ethos here in Silicon Valley and core to what we are building with our analytics group at the Quakes. We are excited to be an early partner and co-creator as Gemini’s product continues to develop”.
Gemini Chief Executive Officer Jake Schuster remarked, “There are clear patterns amongst sporting organizations that are either already winning or about to be: Curiosity, openness to new technologies, and collaboration. It’s easy to cheer for the Earthquakes when they strongly embody these qualities, and I’m honored that the organization have chosen us as a technology partner”.
—
About Gemini Sports:
Gemini empowers teams to understand, add to, and profitably sustain their squads more successfully by delivering fast and easy workflows through an AI-co-pilot-style mobile application. By focusing on user experience, Gemini reduces the reliance of decision-making executives on data teams, allowing those engineers to focus on more complex and bespoke projects. Gemini’s partnerships with tech industry giants like Snowflake Data Cloud, Databricks, and Amazon Web Services, along with sports tech vendors such as StatsBomb, SkillCorner, and Impect, enable them to deliver automated and enriched data with a seamless setup made for each customer’s unique game model, ambitions, and workflow preferences. Scouting reports can be entered in the mobile application and easily customized, making subjective and objective data available on one page together, including AI summaries, automated alerts, and more. Data teams can flexibly access, iterate, and contribute their own models through Gemini’s API, making this a truly collaborative platform.
To learn more about Gemini and our mission, click here.
