Turn the archive into shared intelligence
Tabi analyzes references, past styles, materials, flats, and decisions, then makes that context available to the whole team and its agents.
The shared memory layer for fashion teams
A multiplayer workspace where fashion teams and AI agents organize inspiration, research garments, develop designs, and build new collections together.
Bring in the archive, turn direction into styles, review the work, and leave with tech packs ready for the next system.
Tabi identifies garment shapes, construction, fabrics, finishes, color, and provenance. Use those details to shape the garments your team develops next.
Ask questions about the references your team has uploaded, from the seam or material behind an approved look to an abandoned direction worth revisiting. Tabi can bring in verified fashion context beyond your archive and shows the evidence behind every answer.



Tabi turns approved archive evidence, recurring design codes, and team decisions into working context agents can use to research, critique, and develop styles.
Tabi analyzes references, past styles, materials, flats, and decisions, then makes that context available to the whole team and its agents.
Tabi identifies the silhouettes, materials, colors, hardware, treatments, and construction details your styles repeat, then uses those codes to guide and critique new work.
Agents work from the same style records, reviews, decisions, approved versions, and tech packs as the team, so their output stays grounded in the work.
Design and edit garments together using editable flats, fashion-specific color and material tools, live comments, and synced style records that carry every change into development.
Explore design toolsResearch, design, review, and handoff.