Organizing your documents to Power Discovery
ExtractIQ configures a structured digital document library and AI chatbot. With meaningful document classes and automated metadata extraction powered by our proprietary recognition engine, we make every page findable and every insight accessible. Ready for human search and AI-powered discovery. And by the way, this is provided at no additional charge. No separate proposal. No extra licensing.
Structure That Unlocks Value
Digitized documents are not automatically organized documents. Too many organizations end up with digital file shares that mirror the chaos of their old paper systems—nested folders, cryptic names, and no consistent metadata. ExtractIQ bridges this gap.
We deliver three integrated capabilities: Document Classes (custom metadata schemas), Information Architecture (logical SharePoint structures), and our Recognition Engine (automated AI metadata extraction). We build on Microsoft SharePoint to transform your existing platform into a purpose-built, highly functional digital library.
Three Pillars of Organization
Every ExtractIQ Organize engagement delivers three integrated capabilities — each essential, each reinforcing the others.
Document Classes
Every document type receives a custom metadata schema in SharePoint. The result: consistent, searchable, and filterable records across your entire library.
Information Architecture
We design logical SharePoint sites, libraries, and folder structures. Permissions, performance, and navigation are built in from day on
Recognition Engine
Our proprietary AI extracts metadata automatically using five specialized techniques to classify, enrich, and index your entire document collection.
Every Document Type, Defined
A document class is implemented as a content type — a reusable template defining exactly what metadata columns apply to a specific document. ExtractIQ maps your organization’s files (financial records, engineering drawings, permits) to these custom content types.
Our consultants work collaboratively with you to identify the metadata that matters most for findability and compliance. As a result, every document migrated into the library inherits the correct schema, ensuring search, filtering, and downstream AI chatbots have clean, structured data to work with.
A Place for Everything
A digital library relies on solid structure. ExtractIQ designs the SharePoint information architecture that gives every document a logical home: Sites by department, Document Libraries by content domain, and Folders where finer segmentation is needed.
Permissions are designed from the start to ensure security without friction. Performance is engineered through optimal library sizes, metadata navigation, and filtered views that surface the right documents based on user context.
The ExtractIQ Recognition Engine
Our proprietary AI system automatically extracts metadata from your documents. Rather than relying on a single method, the Recognition Engine orchestrates five complementary techniques, each optimized for different file characteristics.
01
Zonal
Recognition
Spatial extraction from structured layouts
02
Content Recognition
AI linguistic analysis of text
03
System
Recognition
Classification from file metadata
04
Database
Recognition
Enrichment via data lookups
05
Extraction from native formats
Your Documents, Protected at Every Step
01
Zonal Recognition
Identifies spatial zones in structured documents—like invoices, forms, and title blocks—extracting values based on their layout position. This technique is the fastest and most precise method for repeatable layouts, even as core content changes.
02
Content Recognition
AI-powered linguistic analysis identifies entities, topics, and key relationships within text. Working on both scanned OCR and native text, it serves as the primary technique for unstructured documents where layout alone cannot provide metadata.
03
System Recognition
Extracts classification signals from file system details, including folder paths, file names, and dates. It provides a fast, reliable baseline classification during the migration of born-digital content, which other techniques then refine.
04
Database Recognition
Enriches extracted metadata by cross-referencing entities against master data systems. By turning codes into descriptions and IDs into names, it ensures the metadata in your digital library remains complete, consistent, and human-readable.
05
Application Recognition
Integrates directly with native applications—such as Microsoft Office and AutoCAD—to extract embedded metadata not visible in plain text. This is essential for technical document collections containing valuable data inside proprietary formats.
Built on the Platform You Already Know
ExtractIQ’s expertise transforms Microsoft SharePoint from a generic collaboration tool into a purpose-built digital library.
Site Architecture
We design site collections that mirror your organizational structure, separating departments and functions while maintaining cross-cutting navigation and global search.
Library Configuration
Each document library is fully configured with correct content types, metadata columns, and views. Libraries are sized for performance and optimal discoverability.
Permissions & Governance
Granular permission models ensure safe access. We implement governance policies that effectively balance organizational security with everyday usability.
Why ExtractIQ
✨
AI-Powered Metadata
Automated extraction replaces manual data entry for a richer, ready-to-use library.
🏆
SharePoint Specialists
Decades of enterprise content management experience at scale.
⭐
5 Recognition Techniques
Complementary techniques ensure comprehensive document extraction.
🤖
AI Chatbot
Your organized library becomes the foundation for conversational discovery.
Ready to Unlock the Value in Your History?
Start with a Digital History Assessment and see how your records can become a living digital asset.
Contact us