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The book

The Wrapper Question

How to Buy AI Software, Value an AI Company, and Know What It Actually Owns

Almost every AI product is a thin layer over a model somebody else trained. So the useful question is not what it does. It is what the company actually owns when the demo ends, and what that is worth.

Kindle $12.99Paperback $29.99Hardcover $44.99

Three numbers from the index

607 of 652
companies in the index sell exactly one product
25 models
from ten developers sit under hundreds of tools
$1.68 vs $600
the same monthly workload, cheapest model against dearest

One question, from three chairs

417 pages, 19 chapters and 8 appendices, including a question bank, all eighteen categories compared, seventeen models priced, and worked examples with the arithmetic left in.

Part One

The anatomy of an AI product

What an AI product is made of, and which parts of it a company can honestly be said to own.

Part Two

For buyers

Finding what you already pay for twice, what you are genuinely locked into, and the questions worth asking before you sign.

Part Three

For founders

What makes a company acquirable rather than absorbable, and what the people writing the cheque actually underwrite.

Part Four

For acquirers and investors

Underwriting a company whose central capability is a supplier relationship, and the diligence that standard templates miss.

Where the numbers come from

Every catalogue figure in the book comes from the index this site runs, and the book says so on the page it appears. It is a curated catalogue of 715 tools, not a census of the AI market, and it never claims to be one.

Model prices were taken from each provider’s own published page and dated. Where a figure could not be verified at first hand, the book says which one and why. There are no benchmark scores, because we do not run benchmarks.

Read the methodology →

If the model underneath became free and perfect tomorrow, what would still be worth paying for?

The question the book is built on

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