State of the art machine learning models for fashion design, trend forecasting, and brand management. From trademark infringement detection to automated design portfolio development, and everything in between.
blender is a tool for deriving stylistically similar items from a given collection, within a single product category (e.g. construct a "chunky sneaker" design from a set of inspirations).
seasons is a tool for constructing thematically similar items from a portfolio (e.g. given 4 items in Fall/Winter 2019, design 6 items in different categories to fill out the portfolio).
distinct is a tool for staying ahead of trends, by designing items that look nothing like what is currently on the market.
antitrademark is a tool for monitoring images (e.g. on social media, or from a given portfolio) to ensure brand-specific design elements are not included (or the inverse, for advertising).
FashionLab is currently under active development
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