Understand
Transcripts, scenes and visual metadata become a searchable representation of the archive.
Reelume is building an AI-native media intelligence platform that turns large video archives into new digital content. It understands transcripts and visual metadata, retrieves relevant moments, and uses Claude as the reasoning layer for editorial intent, evidence-grounded story planning, selection decisions, and quality review before human approval.
Early-stage · Bootstrapped · Seoul
THE PROBLEM
Transcripts, scenes and visual metadata become a searchable representation of the archive.
Natural-language briefs surface relevant moments with source context and provenance.
Claude connects evidence to editorial intent, narrative structure and review criteria.
PRODUCT CONCEPT
A working product direction — shown as concept UI, not a claim of released functionality.
142 relevant moments · ranked with source context
Public space, infrastructure, cityscape
Transit, streets, changing movement
Present-day visual comparison
WHY CLAUDE
Retrieval finds candidate evidence. Claude reasons over that evidence to interpret editorial intent, build an evidence-grounded story plan, explain selection decisions, and apply quality-review criteria before human approval.
Interpret audience, format, tone and editorial objective.
Connect retrieved moments without losing source context.
Explain selection, ordering and continuity choices.
Apply review criteria before a human approves the output.
BUILT FOR RESPONSIBLE MEDIA WORKFLOWS
Every recommendation should remain traceable to its originating media.
Designed for archives and media the operator is authorized to use.
AI accelerates discovery and reasoning; publishing remains a human decision.
ABOUT REELUME
Reelume is an early-stage, bootstrapped AI media technology project focused on making large video collections searchable, understandable and reusable. We are developing the product from Seoul, South Korea.
BUILDING NOW
Interested in archive intelligence, AI-native editorial workflows, or early product collaboration?
founder@jongsik.com ↗