Folders were never enough.
For decades, documents were filed by project, team, or date, but the content inside was rarely structured. So search barely works: only about one in ten first searches succeed, knowledge workers lose nearly a third of every week hunting for the right information, and AI is now forced to guess. That dark data turns into duplicated work, compliance risk, and answers you can’t trust.
Duplicate work and rework, slower decisions, and higher operational cost.
Version conflicts, inconsistent policy enforcement, and regulatory fallout.
Inconsistent answers, sensitive information surfacing, and flawed business decisions.
A chain of dependency, from documents to confident action.
Enterprise knowledge only becomes usable when every link holds. xTract is the link that makes documents machine-readable, so content is discoverable, AI retrieves it accurately, and teams can act with confidence.
xTract Foundation makes key attributes machine-readableBetter data underneath everything your documents touch.
Find by meaning
Discover and filter documents by real business attributes, not folders and file names.
Govern at scale
Consistent classification, confidentiality, and lifecycle data across the entire estate.
Ground your AI
Give assistants and RAG better, source-linked context for answers you can trust.
No rip-and-replace
Enrich documents where they live and keep your repositories, permissions, and controls.
A repeatable path from collection to structured data.
xTract Foundation connects to what you already have, extracts consistent data at scale, writes it back, and keeps it current as documents change.
- 01
Connect your repository
Securely point Foundation at your repositories, honoring existing permissions and controls.
- 02
Extract and classify
Multimodal models read text, tables, and images to produce consistent fields and classifications.
- 03
Push data back
Write structured attributes back into the repository so every tool benefits immediately.
- 04
Monitor and refresh
Foundation watches for changes and keeps the data layer accurate as documents evolve.
See xTract Foundation in action.
See xTract Foundation applied to your documents.
Identify a representative repository and the attributes you need. We’ll show the structured, governed data layer running against your own files.