Data & Content Enrichment
Before your content can power great search, AI, or agents, it needs to be clean, consistent, and well-organized. We prepare it so it is.
Why It Matters
Content keeps spreading across more systems — file shares, CMSs, cloud drives, legacy repositories — and the gap between where it lives and how easily it can be found grows right along with it. That gap shows up twice: as irrelevant search results, and — now that content increasingly feeds AI systems too — as answers that are outdated, wrong, or impossible to trace back to a source.
How We Do It
We start by finding out what content actually exists and where — including anything hard to classify or sitting forgotten in a legacy system. From there, we enrich it: adding metadata, applying taxonomies, and normalizing formats so everything is indexed consistently — and so you can control what an AI system is, and isn't, allowed to draw from when it generates an answer.
What We Do
Structure & Enrich
Turning inconsistent content into something a search or AI system can actually use.
- Metadata tagging and enrichment
- Taxonomy planning and implementation
- Format normalization across legacy and modern repositories
Discover & Govern
Knowing what content you actually have, and staying in control of it.
- Content discovery and e-discovery support
- Content inventory and analysis — surface duplicates, storage waste, and legacy formats, useful for migrations and compliance requests (like ATIP)
Find Out What Your Content Is Hiding
Most teams are surprised by how much of their content is unclassified, duplicated, or invisible to search. We'll help you find out — and fix it.
