Three visual production companies are building what they describe as an “agent infrastructure” layer for fashion, moving beyond individual AI tools toward systems where agents coordinate production logic across the entire visual stack. Forbes contributor Moin Roberts-Islam profiled the collaboration on April 21.
From Studio Knowledge to Agent Infrastructure
The group’s structure reflects a deliberate progression. OmegaRender, the visual base layer, built its expertise through years of high-end production across architecture, entertainment, gaming, and large-scale digital environments. That operational knowledge fed into AlphaRender (interactive concept design for architects and designers) and then into Genera (AI-powered garment visualization for fashion), according to Forbes.
Oleksii Fedorenko, R&D lead at Genera, told Forbes the shift is structural: “Instead of humans operating software, intelligent systems begin operating the software themselves. That changes the architecture of work.” The group describes the trajectory as “tools to workflows to operating layers,” with the current phase focused on building agents capable of running those systems directly.
Why Fashion First
Fashion is the test case because visual production sits at the commercial core of the business. Product pages, lookbooks, campaign assets, wholesale presentations, and social content drive sales, yet they depend on coordination-heavy workflows involving photoshoots, logistics, large creative teams, and weeks of sequencing, according to Forbes.
Genera.Space generates production-ready imagery directly from garment data and integrates product visualization, ecommerce, marketing content creation, and video production in one enterprise environment. The platform was developed through more than 18 months of industry collaboration and over 100 proof-of-concept projects, per Forbes.
Current enterprise clients include The North Face, Vans, Timberland, Ecco, Zalando, J.Lindeberg, Icebreaker, and Le Coq Sportif. For some enterprise clients, Genera reports up to 80% cost optimization across ecommerce and marketing content production, with timelines reduced from weeks to minutes. Forbes notes these are company-supplied figures.
The Upstream Shift
The most consequential claim is about repositioning visual content in the fashion cycle. Traditionally, visual production happens at the end: design the garment, manufacture samples, photograph them, then distribute assets. The group argues that moving visual content upstream, closer to design and demand planning, reduces overproduction by letting brands simulate entire product ecosystems before manufacturing.
Genera CEO Artem Kupriyaneko told Forbes that “routine intellectual labor” gets replaced first, not vision or strategy, but “the operational machinery that executes those processes.” Aleksandr Seliverstov, CBDO at OmegaRender and AlphaRender, described the enterprise reality: “A typical enterprise pipeline includes dozens of tools: design platforms, asset management systems, analytics platforms, marketing software, production tools… the majority of that work is not conceptual thinking. It’s translating tasks between systems.”
Competitive Landscape
The approach contrasts with how larger platforms are tackling the same problem. WPP’s Production Studio, built with Nvidia Omniverse, works from a large software platform and extends into workflows. Adobe’s Firefly Creative Production focuses on repeatable content pipelines within existing creative tools. The Genera group is coming from the opposite direction: encoding a decade of studio production knowledge into software, then layering agent infrastructure on top, according to Forbes.
Governance remains a stated constraint. The group says agents run within “defined scopes, operational constraints, security layers,” with brand-critical decisions staying under human control. Whether that governance holds as agent scope expands from asset generation to demand planning and inventory decisions is the question fashion’s visual production incumbents will be watching.