Directory · US
Sports in United States
A register of firms and the professionals working at them in the Sports sector based in United States. Browse the public index, then filter or export on Kipplo.
Companies
2 on file
Yingit Corporation
Yingit Corporation is dedicated to revolutionizing the global sports industry through Machine Learning, Artificial Intelligence, Virtual Reality, Big-Data, and Predictive Analytics. Thru the use of our tools (two Patents pending), Yingit Inc is helping NCAA and professional sports organizations to enhance their operational efficiency in many different ways, such as utilizing Yellfy's A.I. to help these organizations to better recruit and scout players and coaches by evaluating their current and future potential and most optimal replacement and placement on any given team. Utilizing Google's Kubeflow and TensorFlow A.I. and Machine Learning tools running on Google Cloud, Yellfy Sports developed a predictive engine that predicts any team's chances of winning its division within the league (Patent Pending). Also utilizing predictive models to assess a team's athlete's performance, to identify strengths and improvement areas (Patent Pending). Yingit Inc's tool uses A.I. and Machine Learning to enhance a sports fan experience in and outside of the sporting venue, with technologies such as Yellfy Pick 'em Game Winner (Patent Pending), where the App predicts the game-winner in addition to the point spread of the game (Patent Pending). Yellfy utilizes RESTful APIs, the information is delivered via several different formats via HTTP: JSON, HTML, XLT and Python.
11 to 50 staff
Marakana
We build next generation tools for fan engagement in soccer. Marakana's AI-driven competitions allow fans to showcase both their loyalty and skills. Our mission is to bring soccer clubs closer to their fans and homegrown talent. Marakana was founded in 2018 by four soccer lovers in the US & Mexico with a shared vision for the future of the game. We believe in the power of our AI technology to engage soccer fans and discover hidden talent in a way that was never possible before.
1 to 10 staff