IMAI Studio

IMAI Studio is an AI workspace for fashion and product brands, with agents covering trend forecasting, collection design, production planning, marketing and sales planning in one shared, permissioned environment.

IMAI Studio is an AI workspace built for the fashion and consumer product cycle, not for generic text or image generation. The platform is organised as a set of specialised agents that carry a collection through forecasting, design, production planning, marketing and sales inside one shared environment. A sample run shown on the homepage walks a fictional knitwear and tailoring label from a trend forecast, sourced from houses such as Première Vision and WGSN, through a line plan, product stories, material assignment and production briefs with named calendar gates. The point is continuity: research performed in one step becomes the evidence used in the next, and the whole chain stays visible to the team. It is aimed at brand owners, designers, product developers and manufacturers rather than solo creators. The workspace adds user permissions, a shared My Drive and connectors to outside tools, so research files, approvals and planning sheets can live alongside the agents that read them. Voice control is available for issuing instructions and giving feedback without typing, and a General Agent handles broader requests across research, design, production, sales, retail and finance. Quick answers return figures with links to the pages they came from, and longer deep research runs show their progress while they work. In practice, a team opens a project, asks for a trend report or a line plan, then reviews and approves each artefact before moving to the next stage. The homepage model is deliberately auditable: a trend recommendation carries a confidence level and cited sources, and a production brief separates settled decisions from open questions such as fibre composition or mill origin. That makes the output a working document for review rather than a finished answer. IMAI sits closer to enterprise product lifecycle tools than to design generators. It does not replace pattern making or CAD, and the fashion-specific depth is strongest for soft goods such as apparel and footwear. Teams that want one assistant across many business functions will find a narrower fit; teams that lose time stitching trend decks, line sheets and launch content into one workflow are the clear audience.