Advanced tracking and AI-assisted labeling for racket sports. Scale your analysis, reduce turnaround time, eliminate manual tagging.
From raw video to real-world coordinates. SplitStep delivers AI-powered apps, tracking data, and labeling solutions trusted by coaches and analysts.
Developed by former NCAA Division I players and physicists
Turn your tennis videos into rally-by-rally insights. Automatic slicing, metric extraction, and actionable data without the manual grind.
Upload a full match and get every point isolated as a navigable clip
Filter by serves, returns, winners, serve+1, net points, and more
Live scorecard, points won, winners, unforced errors, and rally length breakdowns
Distance, speed zones, fatigue trends, and recovery time between points
Inspect ball trajectories and player positions on an interactive 3D court
Manage rosters, upload on behalf of players, and share analyzed matches
Transform any tennis footage into comprehensive tracking data. Our AI automatically extracts player positions, shot types, and court coordinates. Delivering actionable data in hours, not days.
Player positions and strokes extracted automatically*
Get your data back in hours. Scale your analysis without scaling your team
Clean, structured data ready to integrate into your existing platforms
*Ball trajectories and scoring coming soon!
Create and refine tracking datasets with unprecedented speed. Tater combines intuitive labeling with proprietary AI models to extract real-world coordinates for every event on court.
Processing pipeline extracts data automatically, then use Tater to view and correct labels
Use Tater to manually create and label tracking data for any match or training session
Tag ball bounces, shots, player boxes in seconds with AI assistance
Proprietary models extract precise court coordinates for any event
Perfect your datasets with intuitive editing and correction capabilities
Join leading coaches, analysts, and federations using SplitStep to gain competitive advantage.
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