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CardGrade builds photo-based condition pre-screening software for trading-card collectors. CGI stands for CardGrade Intelligence. Its results are estimates of visible condition, not official grades or authentication opinions.
Use the report to organize a closer physical inspection, compare likely submission costs, and decide whether a card belongs with PSA, BGS, CGC, or another professional service.
A card can look strong at a glance and still have a centering, corner, edge, or surface issue that changes the submission decision. Shipping the wrong cards costs time and money, while relying on a single photo or headline estimate can create a different kind of false confidence.
CardGrade was founded by Jamie Budesky, a collector and engineer based in Shippensburg, Pennsylvania. The product was built to make the pre-submission review more structured: capture the card, organize the visible evidence, inspect the physical card, and then decide whether professional grading fits the goal.
CGI Vision AI groups 47 condition checks across 16 zones. That taxonomy helps organize the report; it does not turn one image into 47 physical examinations. Read how AI card grading technology works for the complete CGI/CGC distinction and the limits of photo analysis.
Four parts of a photo-based pre-screen, with the image limits stated up front.
The supplied photo defines the available evidence. Focus, framing, lighting, glare, and camera angle can reveal or hide condition signals.
Visible card boundaries and borders support apparent centering measurements when the complete card is photographed straight on.
The report organizes visible corner, edge, and surface observations. Some flaws still require another angle or an in-hand inspection.
Predictions and confidence indicators help triage cards. They do not establish authenticity or an official professional grade.
See the capture-to-report sequence on How CardGrade Works.

Founder, CardGrade
Jamie is the founder of CardGrade and the engineer behind its AI vision grading pipeline. His CardGrade profile connects his verified profiles and articles about grading technology, standards, and submission strategy.
View Jamie's profile and articles →A useful report distinguishes a photo-based estimate from authentication, physical inspection, and an official grading-company result.
Category findings help collectors review the visible condition signals behind an estimate instead of treating one number as the whole answer.
The goal is a better pre-submission process: inspect the card, compare current costs and likely outcomes, then choose the right next step.
Help collectors compare visible condition, current fees, and collecting goals before deciding whether to inspect again, hold, sell raw, or submit a card for professional grading.
Headquartered in Shippensburg, Pennsylvania.
CardGrade is a photo-based trading-card condition pre-screen. It organizes visible centering, corner, edge, and surface observations to help collectors plan an in-hand review or professional submission.
CGI stands for CardGrade Intelligence, the name of CardGrade’s photo-analysis system. CGI is not CGC; CGC Cards is a separate professional grading and authentication company.
No. CardGrade provides photo-based condition estimates. It does not authenticate, physically grade, encapsulate, or assign an official PSA, BGS, CGC, or other grading-company result.
CardGrade was founded by Jamie Budesky, the engineer behind its AI vision grading pipeline. His verified profile and articles are available on the CardGrade team page.
CardGrade is based in Shippensburg, Pennsylvania.
No. CardGrade is not affiliated with, endorsed by, or an official representative of PSA, BGS, CGC, or another professional grading company.
Talk with the CardGrade team, or review the full capture and pre-screen workflow first.