Acemate's AI Overhaul Aims to Redefine Tennis Training

HONG KONG – May 19, 2026 – Acemate, the AI tennis robotics company, today launched a pivotal software update that fundamentally transforms its mobile rally partner into a comprehensive coaching system. The update, centered on a new "Drill Mode," introduces a suite of data-driven features including real-time shot tracking, targeted practice zones, and post-session performance scores, signaling a strategic shift from unstructured rallies to structured, measurable improvement.

The move aims to solve a core problem for players training alone: a lack of clear goals, intuitive difficulty adjustments, and actionable feedback. With this release, the company, backed by robotics firm OneRobotics (HKG: 6600), is betting that the future of tennis training lies not just in hitting partners, but in intelligent ecosystems that can actively coach players toward getting better.

From Rally Partner to AI Coach

Since its high-profile $2.4 million Kickstarter launch in 2025, Acemate has been recognized for its innovative hardware. Its robot, which moves autonomously on omnidirectional Mecanum wheels, can cover the court at up to 5 m/s, offering a more realistic rally experience than static ball machines. However, early user feedback revealed a gap between having a great rally partner and having a great practice session.

"Rally Mode showed us that players want more than just a machine that hits balls back," said YI, CEO of Acemate, in the announcement. "They want to know what to practice, whether they're getting better, and what to focus on next. That's why we built the Drill System."

This new system pivots from the simple goal of "keeping the ball in play" to the more precise objective of "putting the ball there." Players can now define specific target zones on the court within the app. The Acemate robot will then only engage with shots that land inside this designated area, forcing players to focus on accuracy and consistency for every single repetition. This structured approach is designed to turn aimless hitting into purposeful, goal-oriented practice.

A Data-Driven Training Loop

The Drill System introduces a complete feedback loop that touches every phase of training. Instead of fiddling with technical parameters like speed and spin, players can now select from a library of "Training Templates." These pre-built sessions, such as mini tennis, cross-court rallies, and down-the-line drills, are designed for specific skill levels and improvement goals, allowing players to jump directly into focused practice.

During a drill, the app provides a live dashboard of key metrics. It tracks every shot, displaying the total count, hit distribution across the target zone, average ball speed, and session duration. This real-time data, combined with the robot's dynamic responses to each shot, blends the targeted nature of a drill with the unpredictable feel of a real match.

Once a session concludes, the system generates a comprehensive performance summary. Players receive a single training score based on accuracy and quality, along with a detailed breakdown of their accuracy rate, average speed, and net clearance. This data creates a tangible record of performance, allowing players to track progress over time, identify weaknesses, and set clear goals for their next session on the court. The entire app has also been redesigned to support this new workflow, with a streamlined home screen and consolidated device controls.

Navigating a Crowded Court of Competitors

Acemate's evolution into a coaching platform places it in an increasingly competitive and sophisticated market. The field of AI-powered tennis trainers is no longer a novelty, with several companies offering advanced solutions. Competitors like Tennibot, now on its second-generation hardware, have built a reputation for reliability and feature a robust system refined over thousands of user sessions. Other rivals, such as PongBot, boast machines with higher top speeds of up to 80 mph and have recently launched multi-sport models that cater to pickleball and padel.

In this landscape, Acemate's key differentiator remains its unique full-court mobility, which allows for more dynamic and realistic rally patterns than its static or base-line-bound counterparts. However, as a first-generation product that only began shipping to backers in early 2026, its long-term reliability and software maturity remain untested at scale. The success of the new Drill System will be crucial in proving that its ambitious concept can translate into a dependable and effective training tool that can hold its own against more established players.

The new features directly challenge software-based competitors as well, such as the popular app SwingVision, which uses a smartphone's camera to provide shot analysis. By integrating tracking and scoring directly into its hardware ecosystem, Acemate aims to provide a more seamless and holistic solution.

The Billion-Dollar Swing for AI in Sports

Acemate's strategic pivot is timed perfectly with explosive growth in the sports technology sector. The market for AI in tennis alone was valued at over half a billion dollars in 2025 and is projected to surge to $4 billion by 2033, growing at a compound annual rate of 28%. This boom is fueled by a massive demand for data-driven coaching and performance optimization.

AI coaching platforms are democratizing access to the kind of analytics once reserved for elite professional athletes. For the average recreational player, the cost of private coaching—often between $50 and $150 per hour—can be a significant barrier. AI systems offer a scalable and more affordable alternative, providing personalized feedback and structured training plans on demand. Studies in the broader AI sports coaching market, projected to hit nearly $9 billion by 2028, show that athletes report improving their technique significantly faster with AI assistance.

By embedding these capabilities into its product, Acemate is positioning itself to capture a piece of this lucrative market. It's a move from being a niche hardware gadget to becoming a scalable service platform that promises not just a hitting partner, but measurable improvement.

The Road Ahead and Robotic Ambitions

According to the company, the Drill System is just the beginning. The team is already working to expand its library of Training Templates and is pursuing a broader vision of a complete "tennis AI Coach." Future updates are planned to incorporate video recording and automated stroke analysis, long-term progress tracking, and personalized training recommendations based on a player's performance data.

This long-term vision aligns with the strategy of Acemate's primary backer, OneRobotics. The publicly listed robotics giant operates on a "one brain, multiple forms" principle, developing a core AI that can be adapted for different robotic products serving various real-world scenarios. Acemate represents the "sports health" application of this strategy, fitting alongside other robots designed for companionship and household chores.

This backing provides Acemate with significant technological and financial resources, suggesting a long-term commitment to evolving the product. The goal is to create a system that deeply understands a player's game and provides a truly personalized plan to help them get measurably better, one session at a time. As the technology matures, the line between a training device and a personal coach continues to blur, promising a new era for athletes at every level.