Look 06
Target / result
Agentic refinement · built on Claude
Image models often get the garment wrong: warped prints, broken buttons, changed collars, fabric that looks fake.
We are building agentic refinement on Claude: Claude is the AI agent that finds these garment artifacts and retouches them until the image matches the real product.
QC by Claude agents · agentic refinement on Claude in pilot · head-swap engine in production at around 8,000 images a month
Result comparisons
Inspect how the model handles angles, lighting, hair, and occlusion.
Target / result
Target / result
Target / result
Identity matrix
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Agentic refinement · built on Claude
AI image models often get the garment wrong: warped prints, broken buttons, changed collars, fake-looking fabric. We're building agentic refinement on Claude to fix this. Quality control in Headloom is done by Claude agents, and Claude is the only AI agent we use. Claude compares each AI image with the real product shot, finds these artifacts, and runs the retouch through our tools. A person approves every final image. Our head-swap engine already runs on Louis Philippe catalogue work.
Claude's vision compares the AI image with the product shot and lists every garment artifact: warped prints, broken buttons, changed collars, wrong fabric texture, missing logos or stitching.
Using tool calls, Claude drives Headloom's retouching tools on each flagged area, then checks the result again and repeats until the garment matches the source.
The reviewer sees the before, the after and Claude's notes side by side, and approves, corrects or rejects. Nothing is exported without that approval.
The product
Every image below belongs to the same example. Reference, target, and result stay locked together. Claude agents check and refine every output before it reaches your reviewer.
Product workflow
Separate reference assets from targets and retain the permission context your team needs.
Structure work by project, look, and approval state instead of passing loose files around.
Inspect lighting, hair, occlusion, and composition with a clear human approval gate.
Claude compares each generated image with its source, finds garment artifacts, identity drift and lighting, hair or occlusion errors, and runs the retouch on what it finds, so the reviewer starts from a corrected image with notes.
Claude drafts product captions and image metadata for each approved output, ready for the reviewer to accept and export with the image.
Define format, resolution, retention, and delivery expectations during the pilot.
Inspect the output
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Built for production
Work from approved source identities and defined target assets.
Configure export format, review rules, retention and deployment in the workspace to fit your production needs.
Claude agents check every output against its source before your reviewer sees it, and a person approves every final image. Validate it in a controlled pilot before committing to production volume.
Product line
General head-swap for catalogue and creative work: approved identity in, reviewed output out — with lighting, hair, occlusion, and composition under human review.
Claude compares every AI-generated fashion image with the real product shot, finds garment artifacts and retouches them through our image tools, with a person approving the final frame.
Run the Claude refinement agent across full daily catalogue queues, so fashion and ecommerce teams keep the speed of AI imagery without shipping broken garments.
Company
Headloom makes AI-generated fashion images catalogue-ready. Our head-swap workspace is the product teams use today, and we are building Claude into it as the agent that finds and retouches garment artifacts before anything ships.
We work with catalogue, campaign and studio teams in private pilots. Every pilot runs on the customer's own approved identities and target images, with a human review gate before anything is exported.
Headloom is not starting from zero. The head-swap engine inside the workspace already runs in production on fashion catalogue work for Louis Philippe, at around 8,000 approved images a month, with human review on every frame.
Team
Co-founder
Leads engineering and delivery. vishaal@headloom.com LinkedIn
FAQ
Headloom makes AI-generated fashion images catalogue-ready. It combines AI head swap with a Claude agent that compares each image with the real product shot, finds garment artifacts and retouches them, and a person approves every final image. Quality control is done by Claude agents, and Claude is the only AI agent we use. The head-swap engine is in production; the Claude refinement agent is in pilot.
Claude, by Anthropic. Every AI agent in Headloom runs on Claude: quality control, agentic garment refinement, captions and metadata. Quality control is done by Claude agents, and a person approves every final image.
Yes. We run a scoped paid pilot on a sample of your shots, using identities you have the rights to, before any production commitment.
Headloom is built in Chennai, India, and led by co-founder Vishaal Ravi. See the Company page.
Images are used only to produce your outputs. They are not used to train models for anyone else, and they are deleted at the end of the pilot or on request. See our Privacy Policy.
Agentic refinement on Claude, now in pilot, is next. After that we run it across full daily catalogue queues for fashion and ecommerce teams, inside the same review-gated workflow.
Turnaround depends on shot count, resolution, review cycles, and deployment model. We scope a reviewable pilot first, then agree production volumes and turnaround in the workspace plan.
Yes. Work is performed only against approved assets and applicable likeness permissions. Commercial terms, usage rights, retention, and audit requirements are agreed before production.
Still have questions? vishaal@headloom.com
How to buy
We start with a scoped pilot on 50–100 of your images, so you can judge quality on your own catalogue, with Claude agents running QC and agentic refinement on every image.
After the pilot, production is priced per image, based on volume, resolution and turnaround.
Usage rights, retention and delivery are fixed in writing before production starts.