DataGrid is a Kyoto-born AI company whose generative technology creates photorealistic human models and virtual try-on imagery for fashion e-commerce and advertising.
Known publicly for “Model Generation,” which produces full-body images of people who do not exist, DataGrid applies generative networks to one of retail’s biggest costs: photo production. Its systems generate diverse virtual models wearing real garments, enable virtual try-on experiences, and support mass creation of campaign imagery without booking photographers or models. The technology is offered to apparel brands and marketplaces as an enterprise service, with careful attention to licensing and consent for generative human imagery.
DataGrid is offered as a business service with pricing based on image volume and integration scope; interested brands work with the team on pilots and production contracts.
Apparel retailers, marketplaces and fashion brands that spend heavily on model photography and want faster, cheaper, more diverse catalog imagery.
Fashion and retail teams use DataGrid where photography budgets limit catalog growth and merchandising diversity.
Brands begin with a scoped pilot: provide garment images, define the look and volume, and DataGrid’s team integrates generation into the catalog pipeline with clear licensing terms.
Typical outcomes include far faster catalog turnaround and dramatically lower per-image costs, with the flexibility to show products on a diverse range of generated models without scheduling shoots.
Enterprise pilots define garment inputs, model diversity targets and output formats, then connect generation to the catalog pipeline. DataGrid’s team handles tuning so generated imagery stays consistent with brand standards.
Generative human imagery invites ethical and licensing questions, so governance terms are part of every engagement; complex garments may still need retouching.
Retail teams cite dramatic production speed and per-image cost improvements as the headline results.
No. It is an enterprise service; commercial use is arranged through sales agreements, starting typically with a scoped pilot.
Yes — generation features can be integrated into production pipelines through APIs, so imagery is created directly inside existing catalog workflows.
Against general image models like Stable Diffusion, DataGrid specializes in garment-accurate fashion imagery and try-on consistency; against manual photography, it compresses production cost and time dramatically.