Express your creative direction
Save your art direction from your own samples, and choose from a catalog of leading AI image and video models for each shot.
About Uwear
Uwear is an AI visual production engine that turns existing product photos into studio-quality photos and videos for fashion brands, retailers, and marketplaces.
0:36Uwear’s mission is to be the platform where fashion creatives build their most distinctive work and scale it, from a few SKUs a year to hundreds of thousands. To get there, Uwear builds the AI system where agents take on the manual, repetitive work of production, and people keep the creative part.
Save your art direction from your own samples, and choose from a catalog of leading AI image and video models for each shot.
Batch runs, Production Automation, and cloud infrastructure take the same direction from a few SKUs a year to hundreds of thousands.
Pricing is simple: $0.10 per credit, with no subscription. When QA is on, an AI reviewer checks each result for AI errors and retries the wrong ones.
Uwear makes fashion photos and videos from the product photos you already have. Your team runs it from an AI assistant, the API, or Studio.
Upload pack shots, ghost-mannequin photos, or supplier photos. Uwear sends each shot to Drape, its own model family, or to a leading image or video model.
See the models and credit ratesConnect the Uwear MCP server to ChatGPT, Claude, or Codex. The assistant plans the looks, shows the credit cost in a brief, and runs the shoot after you approve it.
Connect the MCP serverBuild photo and video production into your own systems. Jobs run in the background and report back by polling or by webhook.
Read about the APIPublish a workflow once. New products, tags, or outfits then start their own shoots, edits, videos, and quality checks.
See Production AutomationSave a look from your own samples, with its light, framing, models, and set. Every shoot then uses it, across collections and teams.
See art directionTurn on the AI reviewer, and it compares each result with your product photos. It rejects a wrong shot, attaches the reason, and retries it.
See QA and retriesReview, search, reuse, and export every result with your team. All seats share one credit pool and one invoice.
See StudioSix choices shape how Uwear works.
Three engineers and data scientists started Uwear in Montreal in March 2023 and trained Drape, their own model for clothing. That work taught the team where general models fail on clothing, and the engine’s art direction and QA are built around those failures.
Batch runs and Production Automation start shoots as new products arrive, so production keeps pace with the collection. Teams have made more than 1.5M visuals from more than 420K uploaded products on Uwear.
One agent writes the brief, one applies your art direction, one styles the outfits, one generates each shot, and one checks the result. Through the Uwear MCP server, ChatGPT, Claude, or Codex can run the whole line.
Your team runs each shoot and keeps its art direction, models, and results in its own account. Uwear gives implementation support, and enterprise teams start with a sample report on their own garments.
Turn on the AI reviewer, and it checks each result against the product photos, rejects wrong shots with a reason, and retries them. Your team decides where people look.
Uwear lists every model it runs, with its credit rate, on a public page. A credit costs $0.10, with no subscription and no seat fees.
Fashion teams of any size use Uwear. It is built for these teams:

Uwear started in Montreal in March 2023. When Stable Diffusion 1.4 came out in August 2022, the founders saw that AI would change every industry that depends on visuals. They also knew that fashion needed production tools, not demos.
The team trained Drape, its own model for clothing. More than 10,000 people used the private beta before the public launch in September 2024. Uwear took part in NextAI and CDL-Montreal, two startup programs at HEC Montréal.
Today Uwear is a team of engineers and data scientists who have worked in fashion and in tech, in business and technical roles.
Founders
Reda leads product, design, and the commercial side of Uwear.
Reda Mjahed on LinkedInAxel leads data science: the AI agents, the model work, and the backend data systems.
Axel Havard on LinkedInJean-Baptiste leads engineering: the infrastructure, the cloud platform, and deployment.
Jean-Baptiste Kerbrat on LinkedInMost teams start from an AI assistant. The API runs pure automation, and Studio is the manual path.
Add the Uwear MCP server, api.uwear.ai/mcp, to ChatGPT, Claude, or Codex, and sign in with your Uwear account. Developers call the REST API, and creative teams can also work in Studio.
The assistant proposes the looks, the models, and the credit cost. Nothing runs until you approve the brief.
Agents apply your art direction, style the outfits, and generate each photo and video. When QA is on, the AI reviewer checks each result and retries the wrong ones.
Results go to your Uwear library, and to your own systems by API webhook. An assistant that is also connected to your store, such as Shopify, can add them to your product pages.
Enterprise work starts with a sample report: a production batch on your own garments, scored against your QA criteria. The Uwear team then gives implementation support, volume pricing, and invoice billing.
Run it from your assistant
Connect the Uwear MCP server to ChatGPT, Claude, or Codex and ask for the Product page set template. It is a batch workflow that runs once per garment: front, upper-body, and back product-page shots on a white studio background, plus a 360-degree video, from one garment photo. Any Uwear account can load it by name, and the assistant shows a costed brief in credits before generation starts.
Copy this prompt into your assistant
Connect to the Uwear MCP server and load the "Product page set" template. Run it on my product photos, turn the AI reviewer on, and show me the costed brief before generating.
Facts reviewed on September 23, 2026.
Uwear is an AI visual production engine for fashion. It turns existing product photos into studio-quality photos and videos, and AI agents do each job of the shoot. Teams run it from an AI assistant through the Uwear MCP server, from the REST API, or in Studio.
Uwear’s mission is to be the platform where fashion creatives build their most distinctive work and scale it, from a few SKUs a year to hundreds of thousands. AI agents take on the manual, repetitive work of production, and people keep the creative part. Uwear gives the tools to express the idea, the infrastructure to scale it, and simple credit pricing with AI QA for peace of mind.
Reda Mjahed, Axel Havard, and Jean-Baptiste Kerbrat founded Uwear in Montreal in March 2023. Reda is the CEO, Axel is the CTO and leads data science, and Jean-Baptiste is the Head of Engineering. The founders are engineers and data scientists.
Uwear is based in Montreal, Quebec, Canada. The legal name of the company is Uwear.ai Software Inc.
Uwear is software. Your team operates the engine and keeps control of its art direction, models, and results. Enterprise teams get implementation support and start with a sample report on their own garments.
Uwear runs Drape, its own model family, and leading image and video models such as Gemini, Seedream, Kling, Veo, and Seedance. Your team or your AI assistant chooses the model for each shot. The uwear.ai/models page lists every model with its credit rate.
Uwear costs $0.10 per credit, pay as you go, with no subscription and no seat fees. A photo starts at 3 credits, depending on the model, and credits never expire. Enterprise teams can get volume pricing and invoice billing.
Yes. Add the Uwear MCP server at api.uwear.ai/mcp and sign in with a Uwear account. The assistant then plans the shoot, shows a brief with the credit cost, and runs it after you approve it.
No. When your team turns QA on, an AI reviewer compares each result with the product photos, rejects wrong shots with a reason, and retries them. Your team can turn QA off and decide where people review the work.
Meet the team
Existing customer? Log in to Studio
Pairs with MCP server · API · Studio · Pricing


