Enterprise AI fashion photography platform for on-model product photos at scale

Uwear is an enterprise AI fashion photography platform built for that checklist. It turns existing product photos into on-model photos on a saved model and a saved art direction, in batches of up to 10,000 images. An optional AI reviewer checks each photo against its product and can retry what fails. A REST API with webhooks and a remote MCP server deliver results to a PIM, DAM or store, carrying up to 50 of your own metadata fields. Integration is through the API rather than packaged PIM or DAM connectors.

A batch takes up to 10,000 images and runs every row in parallel, so a 10,000-SKU season with three views each is 30,000 images: three batches, or a Production Automation that shoots each garment as it finishes processing. Saved batch templates rerun the same models, art direction, camera plan and output settings every drop. Your systems can also start automation runs through the API with an idempotency key, up to 50 items per call.

With QA on, a separate AI reviewer checks every photo before handoff: the face and hair against the saved model, pose and framing against the brief, and each garment against its own reference for fit, colour, length and details. A failed check comes back with a written reason. With automatic retries on, the same request is re-shot as a new generation, up to the limit you set; rejected attempts stay on the record. The reviewer costs 1 credit a photo and is optional. Uwear does not offer a pass-rate or fidelity guarantee.

Your team sets the bar and Uwear runs it. On enterprise plans Uwear tunes the AI reviewer’s questions to your catalog and standards, so the checks your team makes by eye become questions every image must answer. Your team can approve or reject any image in Studio, and each human verdict records who made it. Uwear is software your team operates, with implementation support, and you keep control of your art direction, models and results.

Through the REST API and webhooks, not a packaged connector for a named PIM or DAM. Attach up to 50 of your own metadata fields, such as SKU, style number, market, usage rights or PIM and DAM identifiers, to clothing items and models; every generation inherits them and every result returns them. A webhook tells your service when a job ends, and an automation can end with a step that exports results to your DAM by webhook. Delivery URLs are temporary, so store approved files in your own system.

Two saved objects carry it. A saved model keeps one face and body across the range. A saved art direction holds the look: light, set, framing, styling, model rules, product fidelity and the review target. Point a whole catalog at one direction and only the garment changes; a direction can carry set options for framing, pose and light, so shots vary without leaving the brand.

No. Uwear does not use uploaded or generated customer images to train or fine-tune AI models unless a customer contract expressly permits it. Customers keep the rights to their uploaded images, and the Terms state that customers own the AI-generated images and may use them for any legal commercial purpose.

The Uwear Privacy Policy lists HTTPS encryption in transit, encryption at rest, AWS infrastructure with restricted data-center access, regular security audits and updates, need-to-know employee access and token-based API authentication. Generated images are retained 90 days after generation, usage logs 12 months, uploaded assets until you delete them, and deleted accounts sit in a 30-day archive before permanent deletion. EEA residents have GDPR rights, including a complaint to their data protection authority.

Enterprise is priced around your catalog: bulk credits or a platform fee with lower rates, invoice billing, implementation and pilot support, and custom QA criteria. It starts with a sample report: you send sample garments, Uwear builds the art direction, runs a real production batch and hands back a scored report before you commit. Self-serve usage is pay as you go at $0.10 a credit. Teams are not an enterprise add-on: any account can invite unlimited members, with no seat fees and one shared credit pool.