Make your archive searchable again.
Decades of video, audio, and text — minimally catalogued, buried in legacy systems, invisible to the teams who need it. Fluree’s AI catalogues your entire archive against your controlled vocabulary at scale: 100,000+ assets tagged in 24 hours. Every asset findable, every tag governed, every rights status attached.
Trusted by publishing & media leaders
AI that tags like your best archivist — at the speed of your entire library.
Your archive holds decades of premium content — news footage, documentaries, interviews, raw b-roll, audio recordings, photographs. Most of it was catalogued with outdated vocabulary, minimal metadata, or not catalogued at all. You own it. You can’t find it.
Generic cloud AI (Rekognition, Cloud Video AI) labels content fast — but the tags are inconsistent and don’t match your editorial taxonomy. "Person" instead of the journalist’s name. "Outdoor scene" instead of your location taxonomy.
Fluree tags video, audio, text, and images against YOUR controlled vocabulary, so every asset in every format becomes findable, connected, and ready for the AI era.
Three steps.
One living library.
From legacy tape libraries to AI-ready archive — with your editorial vocabulary preserved and governed.
Connect content systems.MAM, DAM, tape libraries, CMS — Fluree reads metadata and media in place. No migration, no duplication.
AI tags your vocabulary.Not generic labels. Your editorial taxonomy, managed by your team. Fluree processes video, audio, text, and images: every format, against your terms.
Search, discover, reuse.Plain-English search across every format and every decade. Every result carries its rights status and traces back to source.
Six capabilities no MAM, DAM, or generic-AI service
gives you on its own.
Tagged against your editorial taxonomy, not “person” and “outdoor scene”
Fluree tags content against YOUR controlled vocabulary, managed by your taxonomy team. A news clip isn’t “two people at a podium.” It’s tagged with the journalist’s name, the location from your geography taxonomy, the topic from your editorial taxonomy, and the series from your production database.
- Your terms, not Rekognition or Cloud Video AI defaults
- Taxonomy team owns the vocabulary, AI applies it
- Editorial standards enforced at archive-scale speed
Manual & generic-AI cataloguing vs.
Fluree.
See how governed AI cataloguing stacks up against manual and generic-AI approaches across every capability that matters for media archives.
The content intelligence playbook.
Solution overviews and practitioner guides on taxonomy governance, AI tagging, and making your archive AI-ready.
Controlling LLMs With Enterprise Taxonomies
How governed vocabularies turn taxonomies into the grounding layer for enterprise AI.
Read the articleTag and organize digital content with Fluree.
How taxonomy governance and auto-content tagging work together for editorial, marketing, and media teams.
Taxonomies vs. Ontologies — What’s the Difference?
A practitioner’s guide to the models that power content discovery — and when to use each.
Read the articleRecognized by Gartner
Gartner, “Cool Vendors in Data Management: GenAI Disrupts Traditional Technologies,” 30 May 2024. GARTNER and COOL VENDORS are registered trademarks of Gartner, Inc. and/or its affiliates and are used herein with permission. Gartner does not endorse any vendor, product or service depicted in its research publications.
Your archive is your most valuable asset — if only you could find what’s in it.
Fluree’s AI catalogues your entire library against your vocabulary — making every asset findable, connected, and ready for the AI era.
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