Co-founder & CEO of Apiway
Anton Viborniy
Last reviewed: .
About Anton
Anton Viborniy is co-founder and CEO of Apiway — an AI fashion photography platform for Shopify and Amazon clothing brands — alongside co-founder Sergey Fedorov. Anton owns product strategy, GTM, and the commercial side of the business; Sergey leads engineering and the AI pipeline. The two have built and shipped SaaS together for over a decade, across workflow-automation, integrations, and now AI fashion imagery.
Before Apiway, Anton spent the early 2010s as an ActiveCampaign reseller, building deep working expertise in marketing automation — email lifecycle flows, lead-scoring, behavioural segmentation, and CRM automation for ecommerce clients. That marketing-automation grounding is what now informs how he thinks about AI catalog production, ad-creative pipelines, and the shape of the creator marketplace at Apiway. He also spent years in 3D rendering / CGI before founding Apiway, which gives him operating-level perspective on how visual-creation industries actually pivot when production tools change.
Apiway is built around a single conviction: pure-AI fashion images don't sell because the humans look plastic, and brands shouldn't have to choose between speed and quality. Apiway's hybrid pipeline mixes real model photography with AI-generated garments and scenes, and its creator marketplace ships pre-licensed model imagery so brands can run AI-generated creative in paid advertising without copyright or right-of-publicity exposure.
Apiway pivoted to AI fashion photography in 2026 from its previous incarnation as a B2B workflow-automation and integrations platform — the same founding team, a complete product rewrite. The original product earned verified reviews on G2 from agencies and operations teams; those reviews describe the older workflow-automation tool, not the current AI fashion product, but they confirm the company's history and the team's track record of building, shipping, and operating live SaaS at scale.
Anton writes regularly about the practical operating model of AI fashion photography on the Apiway blog — covering the technical pipeline (segmentation, recompositing onto pure white #FFFFFF, hybrid generation), the legal landscape (right of publicity, DMCA, GDPR Art. 83), the marketing-automation overlap (lifecycle flows, ad creative, CRM personalization), and the catalog economics for clothing brands at every scale from indie DTC to Shopify Plus.
Areas of expertise
- AI fashion photography
- Hybrid real-photo plus AI-garment image pipelines
- Ghost mannequin photography
- Virtual try-on for apparel ecommerce
- Pure white #FFFFFF background production for Amazon
- Creator marketplace economics for AI generation
- Right of publicity and DMCA compliance for AI ad creative
- Stripe subscription billing and credit-based usage models
- Shopify and Amazon catalog operations
- B2B SaaS product strategy
- Marketing automation for ecommerce (ActiveCampaign reseller background)
- Email lifecycle flows and CRM automation
- 3D rendering and CGI workflows
Recent posts by Anton
Trends · May 28, 2026 · 4 min
The end of fashion stock photography
Stock photography was the toll booth between fashion brands and affordable imagery. AI removes the toll booth. A first-person essay on why Shutterstock worked for 30 years, how AI replaces stock for fashion brands, what stock still does that AI can't, and what fashion photographers should do next.
Insights · May 28, 2026 · 4 min
What will survive AI in fashion
Most analysis of AI in fashion focuses on what changes. The complementary question is what survives. A first-person essay on the layer cake of fashion — why most of it survives, what AI can't do in catalog production, why UGC and physical retail get more valuable, and how brands should split AI from human work.
Guides · May 6, 2026 · 10 min
How to change the model in a clothing photo with AI in 2026
Changing the model while keeping the garment exact is one of the most-requested AI fashion operations — for catalog localisation, size-inclusive imagery, and reseller standardisation. Here's the 2026 how-to with the legal pitfalls and quality discipline.
Guides · May 6, 2026 · 10 min
How to convert supplier flat-lays into catalog-grade imagery with AI
Most fashion ecommerce brands sell garments their suppliers photograph — boutiques, dropshippers, multi-brand retailers. Here's the 2026 how-to for converting unglamorous supplier flat-lays into catalog-grade on-model imagery without a studio.
Guides · May 6, 2026 · 10 min
How to make a fashion lookbook with AI in 2026
Lookbooks are the seasonal centrepiece of how a brand introduces a collection. AI catalog production lets brands ship full lookbooks at a fraction of the cost. Here's the 2026 how-to — narrative first, locked model identity, environment coherence, styling discipline, multi-aspect rendering.
Use cases · May 5, 2026 · 10 min
AI retargeting ads for fashion ecommerce in 2026
Retargeting in fashion has small audiences, fast creative fatigue, and broken iOS attribution. AI catalog production solves the creative-fatigue side at SKU level. Here's the 2026 guide — product-specific retargeting, DPA, abandoned cart, size and fit retargeting, incrementality testing.