AI-automated sports video production and analytics for live event coverage
Pixellot automates video capture, production, and analytics for sports events using fixed multi-camera rigs and computer vision. The stack—Python, PyTorch, Kubernetes, React/Vue frontends, NestJS backends—reflects an engineering organization building real-time video processing and cloud infrastructure at scale. Active adoption of GitHub Copilot and Claude signals acceleration of development velocity, while projects spanning monetization platforms, OTT distribution, and coaching analytics indicate expansion beyond hardware into software-driven revenue streams.
Pixellot develops automated sports production systems deployed across 40,000+ installations globally. The core product is a fixed multi-camera rig that captures entire playing fields, automatically stitches panoramic video, tracks play, identifies highlights, and inserts ads without human intervention. The Vidswap analytics platform delivers game breakdowns, player stats, and coaching insights within hours of match completion. Customers span production companies, sports leagues, clubs, federations, and coaching platforms across the US, China, Europe, and Asia-Pacific. The company operates across camera hardware, live streaming infrastructure, analytics software, and emerging OTT platforms—positioning them as a vertically integrated automation vendor for unbroadcast sporting events.
Python, PyTorch, AWS (EKS), Kubernetes, NestJS, React, Vue, React Native, Flutter. Recently adopting GitHub Copilot and Claude for development acceleration.
Over 40,000 systems sold to production companies, sports federations, leagues, clubs, and venues across US, China, Germany, Spain, Netherlands, France, UK, Japan, Singapore, Mexico, and other markets.
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