The company behind the app # The decision layer for collectibles. Cardinal Engine turns a single card image into a structured economic decision — identity, grade probability, live pricing, and the route that realises the most value. The consumer app is the first surface it runs on, not the extent of it. Why now ## A large asset class is still missing its decision layer. Collectibles trade at scale, but the three functions that make a market efficient — pricing, condition assessment, and routing to liquidity — are fragmented across parties that don't talk to each other. ### Pricing is fragmented Collectors, dealers and buyers cross comps, marketplaces, auction results and instinct just to reach an estimate — and each arrives at a different one. ### Grading lacks decision support Submission is committed before outcome is known. The fee is spent, the card is gone for weeks, and the expected return was never modelled. ### Liquidity is inefficient The best path to value — grade, list, wholesale, hold — is chosen manually, and usually disconnected from the economics of the asset itself. Cardinal Engine ## The intelligence layer behind every decision. The Engine evaluates an asset through probability, pricing and execution. It does not simply identify what something is — it determines what should happen to it next. ### Identification A vector index of card imagery, synced to the device, resolving exact printing and variant on-device in real time — with server-side identification as fallback. ### Grade probability Centering, corners, edges and surface assessed independently and rolled into a likely band — each score traceable to the region it was read from. ### Pricing intelligence A catalog of 7.67M cards, 97% of it priced, with 6.88M carrying graded ladders. From scan to execution **Identify** Exact printing, on device **Model** Grade band and confidence **Price** Raw and graded, per grade **Offer *Roadmap*** Direct bid against the asset **Route *Roadmap*** Best execution path, chosen The bigger picture ## Every important asset class develops a decision layer. Stocks have Bloomberg. Real estate has Zillow. Autos have Carvana. Collectibles still price by instinct. Cardinal starts with cards, where the identification problem is hardest and the pricing data is richest — and extends into the pricing, underwriting and liquidity backbone for collectibles as a whole. Work with us ## Dealers, marketplaces, and partners. If you move volume, price condition for a living, or run a surface where collectibles change hands, tell us which one you are and we'll come back with specifics. [Get in touch](https://cardinal-app.ai/contact/) This is a data-driven market — not just a hobby --- Get Cardinal, free: [App Store](https://apps.apple.com/app/cardinal-tcg-scan-grade/id6810442266) · [Google Play](https://play.google.com/store/apps/details?id=ai.cardinal.app)