Elite Tennis Performance, Measured in Real Time
MatrixHQ uses AI, biomechanics, and computer vision to help players and coaches train smarter and improve faster

MatrixHQ uses AI, biomechanics, and computer vision to help players and coaches train smarter and improve faster

MatrixHQ combines computer vision, biomechanics, and real-time analytics to help players and coaches measure movement, identify inefficiencies, and improve through objective feedback. Currently offering AI-assisted tennis analysis, coaching integration, and pilot programs for players, coaches, training facilities
Gain clearer insight into movement and mechanics while adding objective visual feedback to lessons and player development. Ideal for private coaching, lesson integration, and AI-assisted analysis.
Differentiate your program with a premium AI-assisted training experience for modern player development. Ideal for pilot programs, premium training offerings, and technology enabled coaching
Create a modern training environment where elite coaching and advanced technology work together seamlessly. Ideal for future deployment, strategic partnerships, and premium performance enviroments.
MatrixHQ tracks player movement in real time, analyzes mechanics and performance patterns, and turns that data into faster, actionable feedback for smarter training on court. Designed for players, coaches, and modern training environments, MatrixHQ helps translate performance data into better decisions. A typical session flow is video capture, movement analysis, coaching feedback, and a player improvement plan.

MatrixHQ’s analysis engine is designed for high-speed, on-court performance insight. Built around computer vision, biomechanics, and edge-first processing, MatrixHQ helps reduce latency and deliver faster, more actionable feedback during training.
MatrixHQ leverages technologies such as NVIDIA DeepStream, TensorRT, and Jetson-based edge computing to support local, high-frame-rate inference for modern performance environments. This enables faster on-court feedback without relying entirely on cloud processing.

MatrixHQ was founded by Daniel Goeriz, a USPTA- and UTR-certified coach with more than 20 years of experience in the sport. Drawing from years of coaching, competitive play, and player development, Daniel created MatrixHQ to bring real-time performance intelligence into modern tennis training. As an active coach working directly with players, Daniel built MatrixHQ from real on-court needs rather than theory alone.

At MatrixHQ, we believe coaching and technology should work hand in hand. Our mission is to help players train smarter by turning real-time performance data into clear, actionable feedback. Our goal is to make performance feedback clearer, faster, and more useful for real player development.
MatrixHQ works with players, coaches, and forward-thinking partners who believe tennis training can be more intelligent, actionable, and effective. By combining real coaching experience with modern performance insight, MatrixHQ supports smarter player development while also offering traditional on-court instruction for players who prefer a classic coaching approach.

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