Myth AI was founded in 2020 by Özgecan Üstgül to bring generative AI to one of fashion's most labor-intensive steps: designing the prints, patterns and colorways that define a collection. Traditionally a designer might spend weeks iterating on motifs, building repeating tiles and producing color variations by hand. Myth AI compresses that into seconds, letting brands generate production-ready textile designs from a prompt or reference image while keeping the output aligned to their house style.
A central differentiator is the company's emphasis on commercial safety and intellectual property. Its proprietary, closed-source models are trained exclusively on licensed data rather than scraped imagery, so the designs they produce are meant to be commercially usable, and the platform includes design-similarity protection to ensure originality. Users retain full IP ownership of what they generate, an important consideration for brands wary of legal exposure from AI-generated work.
The platform's toolkit spans text-to-design and image-to-design generation, seamless repeating-pattern creation, colorway and color-variation generation, pattern extraction, background removal, design upscaling and text editing. This makes it useful not only for fashion designers but also for manufacturers, creative teams and marketing professionals who need on-brand visuals quickly. The company operates from offices in India, the United Kingdom and Turkey and reports serving more than 250 clients, including major fashion and textile brands, with related products spanning MYTH AI, MYTH Digi and a MYTH Academie education arm.
In the second half of 2025, Myth AI announced a seed funding round co-led by Revo Capital and Inveo Ventures. The investment is being used to further develop its proprietary, licensed-data AI models, expand the team and scale operations, particularly in the South Asian market where it already sees strong demand from large manufacturers. The company is positioned against a fast-growing AI-in-fashion market expected to expand from roughly $5.8 billion in 2025 toward nearly $30 billion by 2034.