How AtomDigit brought a global art platform into the age of AI discovery.
- 90%
- lower visual production cost
- 70%
- faster artist onboarding
About the client
Elisium Art is a curated global marketplace for contemporary and classical fine art, connecting collectors with original works through a digital gallery built to convey the presence and context a physical gallery provides. The platform spans individual artist representation, curated collections, and integration with physical art fairs.
Challenge
Being found by search engines was no longer enough. The platform needed to be cited by AI.
AI-powered search and generative answer systems changed how people discover art online. Visibility now depends on whether AI systems recognize content as authoritative, structured, and worth citing. The platform's content was built for the prior era, without the semantic markup and entity definitions AI systems use to understand and cite sources.
What we built
A commerce platform architected from the ground up for AI visibility alongside traditional search. Structured content with query-aligned headings and semantic markup AI systems can parse and cite. Artist and artwork pages built as authoritative sources with biography depth, provenance, and context. Entity definition and knowledge-graph development so AI systems recognize the platform and its artists consistently. Server-side rendering and crawler configuration so the AI agents that index major generative systems can access the content.
Challenge
Selling fine art online requires conveying what standard product photography cannot.
Collectors need to understand scale, presence, and how a work reads in different light. A product image on white does not provide that. Physical visits do, but not for a global collector base.
What we built
A virtual gallery environment that presents works in realistic, configurable interior settings, rendered in 3D directly in the browser, no specialized software or hardware. It closes the gap between the online and gallery buying experience directly.
Challenge
Every new artist required biographies and descriptions. The manual process was the bottleneck on growth.
Representing an artist required a professional biography, an artist statement, and rich descriptions for every work. Done by hand, it created a queue that capped how fast the platform could grow.
What we built
A custom AI onboarding system that generates biographies and artwork descriptions from minimal input: an artist's CV and a photo of each work. Large language models tuned on art-world content and computer vision analyze each piece, producing content that reflects both the artist and the specific work. The result was a 70% reduction in artist onboarding time.
Challenge
High-quality photoshoots for each work were expensive, slow, and impossible to scale.
Presenting fine art online requires contextual imagery: the work in gallery, residential, and curated settings. Traditional photography needs sets, lighting, and post-production at a cost per image that makes scale unfeasible.
What we built
The Virtual Art Curators platform. An AI system that generates photorealistic backgrounds and contexts, places artwork accurately within them at correct scale, lighting, and perspective, and produces consistent virtual curator characters for brand continuity. The result was a 90% reduction in visual production cost compared to traditional photoshoots.
Challenge
Physical art fairs generate concentrated engagement for a few days. Most of that value disappears when the event ends.
A fair's reach is limited to who attends in person. The works, artists, and curatorial conversations are inaccessible to the larger audience not physically present.
What we built
A digital fair integration system connecting physical events to persistent digital presences. On-site QR codes at each work open the full digital experience without interrupting the in-person visit. Remote collectors access a curated virtual gallery. The system includes revenue-sharing for organizers, omni-channel marketing, and AR and VR capability that extends the reach and lifespan of each event.
Results
The work addressed five distinct constraints on growth. Artist onboarding time down 70%. Visual production cost down 90%. AI-era discovery built into the architecture from the ground up. The online-to-gallery gap closed with in-browser 3D. And physical fairs extended into persistent digital channels.
- 90%
- lower visual production cost
- 70%
- faster artist onboarding
