for physical trading cards. Our mission is to democratize previously proprietary capabilities like AI-powered card scanning, pricing data, and collection management, enabling developers to build richer, faster, and more competitive applications.

Our computer vision models are trained on NVIDIA infrastructure using multi-stage AI pipelines optimized for accuracy and speed. Powered by CUDA-accelerated inference, we deliver 99.5% identification accuracy with sub-second response times—meeting collectors where they are, from local card shops to convention floors. We currently support 3M+ cards across 2,000+ distinct baseball sets, with rapid expansion into basketball, football, and Pokemon TCG. CardSight AI serves as the infrastructure layer for existing marketplaces, collection apps, and data platforms—enhancing rather than replacing their offerings. From solo developers using Claude AI to build weekend projects, to enterprise platforms integrating visual identification into their workflows, we reduce development costs by over $1M and time-to-market from years to weeks.

As an NVIDIA Inception member, CardSight AI is positioned as the open infrastructure layer for the $20B+ global trading card market—empowering developers, marketplaces, and collectors with AI-driven tools to unlock underserved segments and build the future of the collectibles economy.