# T-Fashion > T-Fashion is a designer-native creative intelligence platform for fashion teams. It combines Fashion Week signal analysis, visual search, AI-assisted concept generation, and shared moodboards in a single workspace for design teams, manufacturers, agencies, and private-label retailers. T-Fashion was founded in February 2019. It is web-based and used by fashion design teams, ODM manufacturers, sourcing firms, design agencies, and private-label retailer teams to move from runway and street-level signal to shippable design direction. ## Canonical - [Homepage](https://tfashion.ai/.md): What T-Fashion is and who it serves. - [Pricing](https://tfashion.ai/pricing): Plans and what is included. - [Why T-Fashion](https://tfashion.ai/about/why-t-fashion.md): Differentiation and design principles. - [Solution and technology](https://tfashion.ai/about/solution-and-technology.md): How the system works under the hood. ## Products - [Studio - AI-assisted concept generation](https://tfashion.ai/products/studio.md): Generate apparel concepts from references, prompts, and trend signals. - [Explore - visual search](https://tfashion.ai/products/explore.md): Search runway and social-media imagery by visual similarity. - [Insights - Fashion Week intelligence](https://tfashion.ai/products/insights.md): Structured signals from runways, presentations, and street style. - [Moodboards](https://tfashion.ai/products/moodboards.md): Collect references and AI visuals into shared team moodboards. - [Fashion Week insights](https://tfashion.ai/products/insights/fashion-week.md): Season-by-season analysis. - [Snapshots](https://tfashion.ai/products/insights/snapshots.md): Period-anchored signal summaries. - [Social media exploration](https://tfashion.ai/products/explore/social-media.md): Visual search across social-media imagery. ## Use cases - [Solutions hub](https://tfashion.ai/solutions): Routing across all ICP buyer lanes. - [Fashion brands](https://tfashion.ai/solutions/fashion-brands): Brand-side parent page across design, merchandising, product, buying, and strategy. - [Fashion design teams](https://tfashion.ai/solutions/design-teams): Runway analysis built for design decisions. - [Merchandising and buying teams](https://tfashion.ai/solutions/merchandising-buying): Category momentum and color direction for assortment and sell-in. - [Product development teams](https://tfashion.ai/solutions/product-development): Tech-pack-ready references and structured fabric direction. - [Trend and insights teams](https://tfashion.ai/solutions/trend-insights): Faster, defensible trend synthesis. - [Strategy and innovation teams](https://tfashion.ai/solutions/strategy-innovation): Data-driven AI fashion analysis for brand-wide rollout. - [Emerging brands](https://tfashion.ai/solutions/emerging-brands): Practical Fashion Week direction for founder-led teams. - [Agencies and consultants](https://tfashion.ai/solutions/agencies-consultants): Client-ready creative, strategy, and concept work. ## Capability pages - [Fashion moodboard software](https://tfashion.ai/fashion-moodboard-software): Shared team moodboards built on runway and AI references. - [Visual search for fashion design](https://tfashion.ai/visual-search-fashion-design): Search runway looks by silhouette, color, and material. - [AI fashion design workspace](https://tfashion.ai/ai-fashion-design-workspace): AI-assisted concept generation grounded in fashion signal. - [Fashion Week intelligence](https://tfashion.ai/fashion-week-intelligence): Real-time and historical Fashion Week signal analysis. ## Resources - [Blog](https://tfashion.ai/blog): Articles on fashion intelligence, AI, and design workflow. - [Sample reports](https://tfashion.ai/resources/sample-reports.md): Examples of T-Fashion analysis. - [Success stories](https://tfashion.ai/resources/success-stories.md): Customer outcomes. - [Events](https://tfashion.ai/resources/events.md): Past and upcoming events. ## Optional - [Sitemap](https://tfashion.ai/sitemap.xml) - [Blog RSS](https://tfashion.ai/blog/rss.xml) - [Request a demo](https://tfashion.ai/request-demo.md)