ShotTracker’s journey from a sensor-based technology to an AI-powered video analytics solution is a testament to the company’s commitment to innovation and its ability to work with industry leaders like Amazon Web Services (AWS) and AWS Partner Loka. By harnessing the power of AI, machine learning, and cutting-edge technologies, ShotTracker has developed a groundbreaking solution that is transforming the sports industry, empowering coaches and teams with near real-time insights, and democratizing access to game data and videos.

Opportunity | Bridging the Gap Between AI and the Sidelines

ShotTracker’s journey from startup to an AI-powered innovator in sports analytics began with a simple question: What if coaches didn’t have to spend hours sifting through game footage to find key plays? This has traditionally been a painstaking process of manually reviewing video clips, labeling plays, and digging through stats.

The company wanted to give all users—regardless of size or resources—fast, intuitive access to its basketball data. The result was ShotTracker Scout, an AI-powered video analytics tool that automates event detection, understands spoken questions, and returns meaningful clips and stats in seconds. “Scout translate voice queries and retrieving clips and stats in near real time, it has been a game changer,” says Davyeon Ross, CEO and cofounder at ShotTracker.

Solution | Reimagining Coaching with Natural Language and AI

Scout was architected on a foundation of AWS technologies including Amazon SageMaker, which brings together widely adopted AWS machine learning and analytics capabilities. It also used Amazon Elastic Compute Cloud (Amazon EC2)—secure and resizable compute capacity for virtually any workload—and Amazon Simple Storage Service (Amazon S3)—object storage built to retrieve any amount of data from anywhere. “Amazon SageMaker gives us the flexibility to bring in the pieces that are best in class and that work well with AWS so that we can deliver on our solutions,” says Ross.

Loka’s role wasn’t just technical; it was strategic, helping the company evolve from a sensor-only model to a scalable, AI-driven video analytics solution. The results from beta testers are already starting to transform how teams operate. It’s a seamless experience where a coach can ask, “Show me all baseline out-of-bounds plays in the last 2 minutes of a close game when player X was on the court,” and receive curated video and stat summaries in seconds.

Outcome | Delivering Game-Changing Results with Near Real-Time Insights

ShotTracker’s vision was always to democratize access to performance insights, and Scout delivers. It’s intuitive, scalable, and designed with real coaches in mind. For teams that don’t have the luxury of full-time video analysts or specialized training, it levels the playing field. Scout is voice activated and basketball literate, so any team member who can speak or type can retrieve high-context video and insights.

This transformative capability is already delivering return on investment in development time and customer satisfaction, with expectations of operational savings as adoption scales. Looking ahead, the company’s foundation opens up exciting possibilities—not just in basketball, but across sports. The AI models, real-time data processing, and flexible architecture all set the stage for a multisport future. ShotTracker is bringing next-generation tools into the hands of coaches and players—turning every question into a smart answer, and every clip into insight.