Fulltrack AI provides affordable, automated cricket ball tracking and analytics using only a smartphone. The platform delivers professional-grade data including speed, swing, spin, and pitch maps, alongside auto-clipped video highlights. This technology supports enhanced player performance review, coaching insights, and unbiased decision review for matches and training sessions.
Funding
$420K 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.
Founders
Product
Problem
Cricket teams often lack access to affordable and easily deployable tools for tracking ball movement and generating performance statistics. Traditional methods rely on expensive equipment, manual data entry, and specialized personnel, making comprehensive match analysis inaccessible for many teams and individual players. This limits their ability to make data-driven decisions for performance improvement and strategic planning.
Solution
Fulltrack AI provides an AI-powered ball-tracking and analytics platform for cricket, accessible through a smartphone or tablet. The system automates the collection of performance data, including ball speed, swing, spin, pitch maps, and decision review system (DRS) for LBW decisions. By eliminating the need for specialized equipment and manual data entry, Fulltrack AI enables teams and coaches to capture and analyze match data in real-time, facilitating data-driven insights into player performance and match strategy. Auto-clipped videos are generated to remove dead time and allow for faster review of sessions.
Target Audience
The primary target audience includes cricket teams, coaches, individual players, and cricket academies seeking affordable and accessible performance analytics.
Features
- Automated ball tracking using computer vision algorithms and smartphone camera input
- Real-time data capture of ball speed, swing, spin, and pitch location
- Automatic video clipping of key events, removing dead time for efficient review
- Decision Review System (DRS) functionality for LBW decisions
- Cloud storage for performance data and video highlights
- Integrated sharing tools for distributing session data with teammates and coaches
- Batting highlights organized by line and length