Hawk.ai partnered with our development team to build an AI-powered sports analytics system initially focused on Pickleball, with expansion into Badminton underway.
Using deep learning and computer vision, the platform extracts detailed player performance data such as shot accuracy, reaction time, movement patterns, and positional heatmaps from match videos.
Client
hawk-eye-innovations
Industry
Gaming / Esport
Year
2024
Services Provided
Every innovation project brings its own set of complexities, especially when AI, user experience, and emerging technology intersect. In this project, our biggest challenge was to translate intelligent systems into human-centered interactions that felt natural, intuitive, and trustworthy.
Research & Data Collection: Collected and annotated match videos from professional and amateur Pickleball tournaments. Created a large-scale dataset for model training. Architecture Design: Modular AI architecture separating detection, action recognition, and performance analysis. Built microservices-based backend for scalability and easy model upgrades. UI/UX Design: Designed dual interfaces — Player App (personalized insights, progress charts) and Coach Dashboard (multi-player view, heatmaps, comparison tools). AI Coaching Agent Integration (Ongoing): Building a reinforcement-learning-driven virtual assistant that analyzes performance gaps and suggests corrective exercises or drills. Future Expansion: Real-time live scoring, match broadcasting overlays, and automated club ranking systems using aggregated data.
Successfully launched Hawk.ai Pickleball Analytics MVP, processing and analyzing match videos with high accuracy. Delivered actionable insights like shot efficiency, consistency score, and player movement density maps. Improved player feedback accuracy by ~78% compared to manual analysis. Developed foundation for multi-sport expansion — Badminton analytics under development. Positioned Hawk.ai as a next-generation sports intelligence platform, bridging performance analytics, coaching, and live match intelligence.
"Your team helped us merge the worlds of fashion and data in a way that feels beautifully human. For our customers, this is no longer just a product — it’s a co-creation."
— Elena Vasquez, Head of Product, Fabrica
