Use this when
The archive is valuable, but the public or internal team cannot yet move through it.
A collection needs a public form
Video, audio, documents, oral histories, artworks, records, or research material need a clear interface for discovery.
Search is not enough
The material needs maps, themes, relationships, timelines, visual clusters, or guided routes through complex content.
AI must stay grounded
Answers, clips, generated text, and recommendations need visible sources, context, and provenance.
What ships
Practical interfaces and data structures, not archive theatre.
- Archive audit, content model, and metadata strategy.
- Search, retrieval, semantic clustering, graph, map, or timeline interface.
- Source-grounded AI layer with citations, timestamps, and visible provenance.
- Public website, installation interface, internal research tool, or prototype.
- Documentation for editors, curators, reviewers, and technical maintainers.
Related work
Archive work across broadcast, music, food culture, and AI-assisted narrative research.
Send a sample of the archive.
Email the source types, volume, rights constraints, metadata quality, and the audience you need to serve. A small slice is enough to define the first useful prototype.
Email the archive brief