01
Start with what you know.
Upload an image, describe the artwork in your own words, or search a known auction. Three entry points into the same archive.
Back to work
AI Platform · UI/UXCase Study (01)
Art Provenance
Start with nothing,end with a history
An AI research platform that searches millions of historic auction records and art references, many of them available only as scanned PDF catalogues. It lets anyone research an artwork, even without knowing anything about it.
- Role
- UI/UX Designer
- Type
- Agency
- Platform
- Web app, landing page
- Year
- 2026
- Scope
- Search UX, AI chat interface, filters, results views, style guide, landing page
Designed at Digital Arts Agency. Shown for portfolio purposes.
Rare knowledge,buried in PDFs.
Challenge
Provenance research usually assumes you already know the artist, the sale or the date. And the records themselves are scattered across old auction catalogues, scanned as PDFs that are hard to search.
Approach
A search that works like a conversation. Users can start knowing nothing and grow their knowledge with every refinement, entering through an image, a description or an auction reference.
Key goals
- 01Start without knowing anything
- 02Three ways into one archive
- 03Show every appearance of a work
From questionto provenance.
02
Refine like a conversation.
Each follow-up narrows the results, chat-style, with filters beside it, so knowledge grows with every step.
03
One artwork, a trail of records.
Results are sorted by similarity and show every catalogue appearance of a work, so its history reads at a glance.
04
Every artwork, one record.
Each artwork gets its own page with its image, key details and every catalogue appearance, with provenance, exhibitions and literature available when needed.
Inspired bythe catalogue.
I created the style guide and designed the landing page, with a paper-like, editorial feel inspired by printed auction catalogues.
Case Study (02)