NXN Labs

NXN Labs builds Arden, an intelligence layer that sits between a brand's product data and the creative work produced from it. The system structures product identity, attributes, imagery, materiality and merchandising context into what the company calls persistent product truth, then uses that foundation to generate production ready imagery, video, campaigns and variations across products, markets and channels. Arden runs as a four stage loop the company labels structure, generate, govern and learn. Structure turns product data, imagery, brand standards, references and merchandising context into structured intelligence. Generate turns that intelligence into finished assets. Govern captures approvals, revisions, localization decisions and exceptions as system memory, so the brand keeps control of what ships. Learn connects deployment and customer response back to what was created. Two further layers feed the loop: brand and operational intelligence, which captures creative standards, revision history and the judgment behind how teams work, and performance intelligence, which ties creative and merchandising decisions to customer response across products, markets, audiences and channels. Creative attribute insights score individual elements such as close ups, accent colors and texture against results. The audience is enterprise scale brand and creative operations. The company says Arden is shaped alongside global retailers, luxury houses and consumer brands across the United States, Europe and Asia, and cites product accuracy, brand standards, regional differences and approval workflows as the constraints it is designed around. NXN Labs publishes no pricing. There is no pricing page on the site and the only call to action is a demo request, so terms are set per engagement. The company was founded by Jen Rhi, who describes a background spanning Stanford, McKinsey and SoftBank alongside prior work as a brand operator.