RREELUME
ARCHIVE INTELLIGENCE · AI-NATIVE MEDIA

Turn existing footage into the next story.

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

The best moment in an archive is useless if nobody can find it.

01

Understand

Transcripts, scenes and visual metadata become a searchable representation of the archive.

02

Retrieve

Natural-language briefs surface relevant moments with source context and provenance.

03

Reason

Claude connects evidence to editorial intent, narrative structure and review criteria.

PRODUCT CONCEPT

From a question to an evidence-grounded story plan.

A working product direction — shown as concept UI, not a claim of released functionality.

Archive IntelligenceCONCEPT UI
How has the city changed over the last decade? ↵

142 relevant moments · ranked with source context

Riverfront regeneration

Public space, infrastructure, cityscape

Urban mobility

Transit, streets, changing movement

New city infrastructure

Present-day visual comparison

CLAUDE · STORY PLAN
  1. 01OpeningEstablish then vs. now
  2. 02TransformationConnect evidence across years
  3. 03PeopleGround change in lived context
  4. 04ReviewVerify sources before approval

WHY CLAUDE

Claude is the reasoning layer — not the archive.

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.

Brief → Intent

Interpret audience, format, tone and editorial objective.

Evidence → Narrative

Connect retrieved moments without losing source context.

Context → Decisions

Explain selection, ordering and continuity choices.

Draft → Review

Apply review criteria before a human approves the output.

BUILT FOR RESPONSIBLE MEDIA WORKFLOWS

Source provenance

Every recommendation should remain traceable to its originating media.

Authorized media

Designed for archives and media the operator is authorized to use.

Human approval

AI accelerates discovery and reasoning; publishing remains a human decision.

ABOUT REELUME

A new way to work with video archives.

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.

Stage
Early-stage / Bootstrapped
Started
2026
Location
Seoul, South Korea
Contact
founder@jongsik.com

BUILDING NOW

Make archives useful again.

Interested in archive intelligence, AI-native editorial workflows, or early product collaboration?

founder@jongsik.com ↗