Jabbr provides AI-driven computer vision analytics for combat sports, delivering real-time punch tracking and objective scoring data. Its platform integrates with broadcast feeds to identify discrepancies in judges’ scorecards and improve transparency. By automating performance metrics, Jabbr helps promoters, athletes, and fans achieve more accurate and trustworthy fight outcomes.
Funding
$730K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AFounders
Product
Problem
Analyzing combat sports footage to extract meaningful statistics and highlights is a time-consuming and complex process, often requiring specialized skills and software. Existing methods lack automation and ease of use, hindering athletes and coaches from efficiently tracking performance and identifying areas for improvement.
Solution
Jabbr offers an AI-powered platform that simplifies the capture and analysis of combat sports footage, providing users with detailed statistics and automated highlight generation. The platform leverages computer vision and machine learning algorithms to automatically identify key events, track performance metrics, and create shareable highlights. Jabbr's solution streamlines the video analysis workflow, enabling athletes, coaches, and enthusiasts to gain actionable insights from their matches and training sessions without manual effort.
Target Audience
Jabbr's primary target audience includes combat sports athletes, coaches, gyms, and enthusiasts who want to efficiently analyze and improve their performance.
Features
- AI-powered video analysis for automated event detection and performance tracking
- Automatic highlight reel generation based on key moments in the footage
- Detailed statistics on strikes, takedowns, submissions, and other relevant metrics
- Jabbr Cam for simplified multi-angle recording and streaming
- User-friendly interface for easy navigation and data visualization