CardSight AI
Category: Computer Vision
An AI-native infrastructure platform providing computer vision and standardized data services for the global trading card and collectibles market. CardSight AI was founded in 2025. The company is led by Eric Nusbaum. Based in Portland, Maine, USA. Team size: 2-10. Total funding raised: Undisclosed. Latest round: Pre-Seed. Key investors include NVIDIA Inception, AWS Startup Program.
- Founded
- 2025
- Headquarters
- Portland, Maine, USA
- Team size
- 2-10
- Total funding
- Undisclosed
Value proposition
Commoditizes trading card identification and market data through high-speed AI, enabling businesses to automate inventory management and pricing without manual data entry.
Products and solutions
AI-Powered Card Identification API, Full Slab Grade Identification (PSA, SGC, BGS, CGC, TAG), Real-time Market Pricing Data Feed, Global Trading Card Catalog (9M+ cards across baseball, football, basketball, hockey, soccer, Pokemon, Magic), Bulk Inventory Processing Tools, Real-time Video Streaming Identification
Unique value
Unlike consumer-facing scanning apps, CardSight focuses on the 'infrastructure layer,' providing an API-first approach that identifies not just the card, but the specific grade and certification from all five major grading companies simultaneously.
Target customer
Software developers, digital marketplaces, auction houses, card shops, and institutional collectors.
Industries served
Sports Memorabilia, Collectibles & Hobby, E-commerce & Marketplaces, FinTech (Alternative Assets), Computer Vision
Technology advantage
Leverages advanced computer vision models trained on a massive proprietary dataset to automate the extraction of slab data (grade, cert number, grader) and matches it to real-time market pricing, significantly reducing the 'time-to-list' for high-volume sellers.
How they differentiate
B2B API-first infrastructure focusing on 'full slab' identification (grading company, grade, and cert number) rather than just raw card identification, coupled with standardized market pricing data.
Main competitors
Ludex, CollX, Alt (OnlyAlt), PriceGuide.cards
Key partnerships
NVIDIA Inception Program (AI/Deep Learning support), AWS Startup Program (Cloud infrastructure), Major Grading Companies (Integration/Identification support for PSA, SGC, BGS, CGC, TAG)
Notable customers
Invite-only beta participants, Digital Marketplaces, Auction Houses
Major milestones
Accepted into NVIDIA Inception program for AI development (2024), Joined AWS Startup Program for cloud infrastructure scaling (2024), Launched invite-only beta for AI-powered identification infrastructure (Jan 2025), Launched market pricing data in beta and expanded full-slab grade identification (Feb 2025), Launched hockey card identification, completing coverage of all four major U.S. sports (Mar 2026), Launched real-time video streaming identification GA (Apr 2026), Launched Pokémon TCG identification, expanding catalog to 9M+ cards (May 2026)
Growth metrics
Catalog expanded to 9M+ cards (10M+ across all sports and TCGs); supports identification across 5 major grading companies (PSA, SGC, BGS, CGC, TAG); added real-time video streaming identification; expanded to all four major sports plus soccer and Pokémon TCG.
Market positioning
B2B Infrastructure and Data Layer provider for the collectibles industry.
Geographic focus
Global (API-based), with primary market operations in North America.
Patents and IP
No registered patents disclosed; utilizes proprietary machine learning models and data normalization algorithms.
About Eric Nusbaum
Eric Nusbaum is a veteran FinTech entrepreneur with over 25 years of experience in financial technology and wealth management. He was the Founder and CEO of Wheelhouse Analytics, which was acquired by Envestnet (NYSE: ENV) in 2016. Following the acquisition, he served as a Managing Director at Envestnet. A lifelong trading card collector, he founded CardSight AI to build the open infrastructure layer for the global trading card market using advanced computer vision.
Official website: https://cardsight.ai/