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AI & Automation
Zynq
Zynq logo
AI & Automation

Zynq

Zynq is an AI-powered platform specifically designed for the fashion industry, enabling designers, brands, and retailers to accelerate and enhance the creative and production process. It leverages generative AI to create realistic and customizable fashion designs, from initial concept sketches to detailed technical flats and photorealistic product mockups. The tool helps users rapidly ideate, visualize, and iterate on clothing, accessories, and footwear, significantly reducing the time from concept to market. It is positioned as a solution for modernizing fashion workflows, reducing reliance on physical samples, and enabling data-driven design decisions. By integrating AI into the core creative process, Zynq aims to democratize high-quality design capabilities and support sustainability efforts through digital prototyping. Its primary users include fashion designers, product developers, merchandisers, and e-commerce teams looking to streamline design, improve collaboration, and respond quickly to trends.

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📊 At a Glance

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Paid
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AI & Automation
Generative Platforms

Key Features

Text-to-Fashion Design

Users input descriptive text prompts, and the AI generates original, high-quality fashion design images based on those descriptions. It can interpret complex style, material, and detail instructions.

Image-Based Design Generation & Variation

Allows users to upload an existing sketch, photo, or design, and the AI creates multiple variations, explores new colorways, or adapts the style to different garments.

Technical Flat Generation

Automatically converts a design concept or generated image into a detailed technical drawing (flat sketch), showing construction lines, seams, and garment details essential for manufacturing.

Photorealistic Product Mockups

Generates realistic images of the designed garment on human models or mannequins in various poses and settings, providing a lifelike preview of the final product.

Digital Collection Building

Provides workspace tools to curate, organize, and present AI-generated designs into cohesive fashion collections or lines, with options for adding notes and sharing.

Pricing

Custom/Enterprise

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  • ✓Access to the core AI design generation and editing tools.
  • ✓Generation of design variations, technical flats, and photorealistic mockups.
  • ✓Project workspaces and collaboration features for teams.
  • ✓Likely includes higher volume of AI generations and asset exports.
  • ✓Priority support and potential for custom integrations or dedicated training.

Use Cases

1

Rapid Trend Response & Fast Fashion

Fashion retailers and fast-fashion brands use Zynq to quickly interpret emerging trends from social media or runway shows. Designers input trend descriptions, and the AI generates dozens of on-trend design variations in minutes. This allows brands to dramatically shorten the design phase, select winning concepts faster, and get products to market ahead of competitors, capitalizing on fleeting trends.

2

Sustainable Design & Digital Sampling

Sustainable fashion brands and large apparel companies employ Zynq to reduce waste in the sampling process. Instead of producing multiple physical prototypes, designers create and refine digital samples using AI-generated mockups and technical flats. This use case significantly cuts material waste, lowers costs, and accelerates the approval process, aligning with environmental, social, and governance (ESG) goals.

3

E-commerce Product Visualization

E-commerce teams and direct-to-consumer brands use Zynq to generate high-quality product images for their online stores. For new products or planned inventory, they can create photorealistic mockups in various colors and on different models before manufacturing. This enables the creation of marketing assets and complete online catalogs without needing to photograph physical samples, saving time and resources.

4

Design Education & Concept Exploration

Fashion students and independent designers use the platform as a creative assistant to explore concepts and overcome creative blocks. By inputting rough ideas, they can see them visualized professionally, which sparks new ideas and helps refine their vision. It serves as an educational tool to understand how design elements translate visually and accelerates the skill development process.

5

Licensing & Print Design

Textile designers and studios specializing in prints and patterns use Zynq to generate unique fabric designs, all-over prints, and graphic elements for apparel. The AI can create cohesive patterns based on a theme or color story, which can then be applied to generated garment mockups. This streamlines the process of creating and presenting licensed print designs to fashion brands.

How to Use

  1. Step 1: Visit the Zynq website and sign up for an account, typically providing an email address and creating a password. Some plans may offer a free trial or demo access.
  2. Step 2: Upon logging into the web-based dashboard, familiarize yourself with the interface, which typically includes project workspaces, design libraries, and generation tools.
  3. Step 3: Start a new project and input your design brief. This involves using text prompts to describe the desired garment (e.g., 'a sustainable puffer jacket with geometric quilting') and/or uploading reference images or sketches for style inspiration.
  4. Step 4: Configure generation parameters such as garment type, color palette, fabric texture, and detail level. Then, initiate the AI to generate multiple design variations. The output appears as a gallery of high-quality images.
  5. Step 5: Select the most promising generated designs. Use the platform's editing tools to refine details, adjust colors, modify silhouettes, or combine elements from different AI outputs.
  6. Step 6: Generate complementary assets for the selected design, such as technical flats (detailed construction drawings), different colorways, or photorealistic mockups on human models or mannequins.
  7. Step 7: Organize finalized designs into collections within the platform. Use collaboration features to share projects with team members or clients for feedback and approval.
  8. Step 8: Export the final design assets (high-resolution images, technical packs) for use in downstream processes like sourcing, manufacturing, marketing, or e-commerce product listings.

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