In terms of the context of our launch (mint day), we sold 10,000 studio passes in under 10 minutes (during a bear market), generated $628,000 in primary sales and $677,000 in secondary sales, produced 4,550 community curated sneakers, and received 10,050 votes in first round.

We have developed and applied a custom AI model that is trained for infinite bespoke outputs. Large communities of consumers pay for access to proprietary on-chain digital experience, where they take control of the AI model to design/curate their own output, which they partially own. The final output is a selected number of on-chain digital assets that become cutting edge physical outputs, co-designed and selected by the community. We are currently developing our first physical sneaker with Zellerfeld, a platform that provides 3D printed factory-free footwear solutions that are recyclable.

DEEPOBJECTS.AI has not currently received any outside investment.

We are seeing that both consumers and brands want to collaborate on and co-create products yet attempts by brands are limited in scale or underwhelming in experience. Our technology can be applied to a wide array of design objects and brands, further growing our community. With advancements in 3D printing, we see the opportunity to create a end to end design marketplace down the road.

Full details can be found here: https://docs.google.com/presentation/d/e/2PACX-1vRLStPuotQnHsAwWA5tKt4lL6kRXedo10x8FJ5gRzbdq77gT0WRydKzJvY4s-2Po_jjQITmaFLRUyhs/pub?start=false&loop=true&delayms=30000&slide=id.g1759a8dd524_0_89

DEEPOBJECTS.AI is a process that leverages technology and serves as a new business model:

-It introduces major new revenue streams

-Is an attractive and easy process for creators to collaborate with

-It results in increased community participation and sales/marketing momentum

-It provides unparalleled range of product opportunities

-It minimizes manufacturing risk, time spent on market research, and increases profitability

-It is primed to tap into the growing digital identity market

-It creates innovative and production ready products

The four stages are: 1) Concept (Creative concept simplified and dataset curation is automated); 2) AI Training (Custom AI model is trained for infinite bespoke outputs); 3) Curation (large communities of consumers pay for access to proprietary on-chain digital experience, where they take control of the AI model to design/curate their own output, which they partially own); 4) Output (on-chain digital assets meet cutting edge physical production in final collection outputs).