Kinetix ML delivers high quality motion analysis data from mobile phone videos for a variety of sports through a host of SDKs and APIs.
Provide custom bio-mechanics tracking models and camera software for high definition athletic motion tracking on edge deployed systems.
Receive industry-leading bio-mechanics analysis for a wide range of athletic motions through purpose-built efficient APIs.
Run in your custom environment through our deployment packages that wrap bio-mechanics analysis with edge tracking solutions in Python and and iOS apps.
You provide high-fps (slow motion) video of athletic motions captured on purpose-built hardware or mobile phones.
We apply state-of-the-art internal joint tracking and understanding algorithms to reconstruct the 3D motion from the video for analysis.
We analyze the 3D motions for a variety of raw metrics and high level scores applicable to your sport or action.
We return a customized report that can be easily understood by players, coaches, and managers for effective training and strategy.
Maxwell is a machine learning and computer vision engineer who combines his technical expertise with his passion for baseball to democratize analytics for athletes.
Sammy is an extremely talented engineer and data wizard that works on developing meaningful stats for players of every skill level.
Anh is not only a fullstack engineer but also a UI/UX designer that brings our story to life and helps players every where interpret their stats and build on their skills.
Owen will be pitching in college and uses his experience to develop and test analytical metrics for player improvement.