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 7.43M cards, 96% of it priced, with 378K carrying graded ladders.

From scan to execution

IdentifyExact printing, on device

ModelGrade band and confidence

PriceRaw and graded, per grade

Offer RoadmapDirect bid against the asset

Route RoadmapBest 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

This is a data-driven market — not just a hobby