generative AI

we built the first AI that generates physical fashion

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The Turing Test for artificial intelligence, proposed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

For any foot, the eekual AI learns to make a perfect fitting sneaker. After 10 iterations, it consistently achieves a better fit than that of a human shoemaker.

To our knowledge this is the only AI capable of passing the test in the physical realm.

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To build this AI we invented a graphic coding language and wrote the requisite libraries.

The AI looks at the human body, understands its physiology, applies a fashion design, adds production details and instructs machines to make the product.

For it to learn, evaluation elements are embedded in the physical good. These are read to train system efficacy, product performance and customer satisfaction.

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We hold a process patent that protects the power to train an AI in this way for any fashion product (granted in EU, pending in USA, Japan).

Download Patent as PDF
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AI uses existing consumer data streams (ex. search engine analytics, social media feeds, retail stats) to generate digital products for sale to individuals.

If the individual does not buy, it learns.
If they buy, it learns and makes the product.


From the products made, it learns about human physiology, product performance, and efficacy of the production platform.

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Selling fashion, the AI discovers what customers do and express with their clothes.

Making fashion, the AI learns how to make apparel with efficacy for each customer.

Humanity is diverse and ever changing.
So is the eekual AI.

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to participate in the 5 million € investment round

Maximilian Bock