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AI card grading that predicts PSA, BGS, and CGC outcomes in about 60 seconds. Pre-screen cards with 47-point inspection before you submit.

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Website, pricing, platforms and company facts side by side.
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| Website | cardgrade.io | open-gpt.app |
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| Company | Startup from the United States · 1 - 9 employees | — |
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In their own words, as submitted to SaaSHub.


CardGrade is an AI-powered trading-card pre-grading tool from TCG Treasury LLC. Upload front and back photos and receive PSA, BGS, and CGC grade predictions in about 60 seconds. CardGrade’s CGI Vision analyzes 47 inspection points across centering, corners, edges, and surface, then shows...
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As answered by people managing CardGrade and https://open-gpt.app/.
CardGrade's answer
CardGrade combines a 47-point computer-vision inspection with predicted PSA, BGS, and CGC outcomes in about 60 seconds. Each report includes sub-scores, confidence, centering measurements, and a market-value estimate when available, so collectors can pre-screen cards before paying to submit them for professional grading. CardGrade is an independent prediction tool, not an official grading service.
CardGrade's answer
CardGrade grew from TCG Treasury LLC’s focus on practical tools for trading-card collectors. The product was created to make pre-submission condition review faster and more consistent: upload front and back photos, receive a structured AI inspection, and decide which cards are worth sending to a professional grader.
CardGrade's answer
Choose CardGrade when you want a fast, repeatable pre-screening workflow across Pokémon, sports cards, Magic: The Gathering, Yu-Gi-Oh!, One Piece, and other collectible cards. It combines front-and-back image analysis, four-pillar sub-scores, cross-company grade predictions, collection history, and optional market-value context in one workflow. Results are estimates, so they help prioritize submissions rather than replace professional grading.
CardGrade's answer
CardGrade is built for collectors, card shops, dealers, and grading-prep workflows. It is useful for anyone who wants to identify centering, corner, edge, and surface issues before spending money and time on professional grading submissions.
CardGrade's answer
CardGrade uses TypeScript-based web, mobile, and browser-extension clients, with React/Next.js and React Native/Expo surfaces backed by computer-vision and AI grading services. The system combines image capture, structured condition analysis, grade-prediction logic, account and collection workflows, and store-connected billing.
CardGrade's answer
Customer names are not publicly disclosed.
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