Your archive is an asset. Treat it like one.
Decades of stories, footage, and licensed content sit in systems that can’t answer a question. Fluree turns the archive into governed, AI-ready knowledge — searchable in plain English, with rights and provenance attached.
Trusted by publishing & media leaders
The most valuable content you own is the hardest to use.
Publishers sit on generational libraries of premium content — but the metadata that would make them searchable, licensable, and AI-ready never kept up.
Decades of untagged archive content
Broadcast footage, photo libraries, and back-catalog stories were never catalogued to modern standards. Content nobody can find can’t be reused, repackaged, or sold — no matter how valuable it is.
Rights metadata scattered everywhere
Licensing terms, clearance status, and usage windows live in contracts, spreadsheets, and tribal knowledge. Every reuse decision turns into a legal research project instead of a lookup.
Editorial research buried in silos
Reporters and producers re-research stories the newsroom has already covered, because institutional knowledge is split across CMSs, archives, wikis, and inboxes that don’t talk to each other.
Four ways media teams put Fluree to work.
One governed platform — Fluree CAM for unstructured content, Fluree ITM for taxonomy governance — behind every workflow below.
Content knowledge graph
Connect stories, people, places, and events across every property into one semantic layer your teams — and your AI — can query with full context.
Explore knowledge graphsArchive search & cataloguing
Fluree CAM auto-tags video, audio, text, and images against your controlled vocabularies — bringing decades of uncatalogued backlog online through one governed pipeline.
Explore archival & cataloguingContent monetization & licensing
Package rights-cleared inventory against advertiser briefs in minutes — with fit scores and brand-safety status attached to every asset.
Explore content monetizationRights-aware AI assistants
Ground assistants in your knowledge graph with GraphRAG, so every answer respects licensing terms, cites its sources, and stays inside your editorial standards.
Explore GraphRAGExplore the products behind it: Fluree CAM for content tagging and Fluree ITM for taxonomy management.
Customer case study — Global beauty brand
Building Marketing Intelligence Sovereignty
A global beauty brand built a governed AI Agent Factory on Fluree — turning fragmented marketing, product, and social knowledge into faster, more reliable, MCP-connected decision support.
5
agent factory functions
Zero
hallucination target
MCP
AI model connectivity
Multi-source
marketing knowledge unified
Go deeper on the media stack.
Two dedicated solution pages walk through the workflows in detail — from bringing the backlog online to packaging it for revenue.
Archival & Cataloguing
Make decades of backlog searchable. Auto-tag every format against your own vocabularies and give editorial teams one place to look.
Visit the solution pageContent Monetization
Turn the searchable archive into sellable inventory — packaged against advertiser briefs with brand-safety status attached.
Visit the solution pageField notes on taxonomies, graphs, and AI.
Practitioner writing from the Fluree team on the ideas behind archive intelligence — how vocabularies, ontologies, and knowledge graphs make content AI-ready.
Controlling LLMs with Enterprise Taxonomies
How governed vocabularies turn taxonomies into the grounding layer for enterprise AI.
Taxonomies Versus Ontologies: A Short Guide
A practitioner’s guide to the models that power content discovery — and when to use each.
How to Create a Knowledge Graph for Analytics
A step-by-step walkthrough of building a knowledge graph that analytics teams actually use.
Put fifty years of content to work.
Book a demo and see how Fluree turns your archive into governed, AI-ready assets — without replacing the systems you already run.