AI-enable content
Embed intelligence into workflows from ingestion to downstream applications.
How Knowledge Enrichment solves your business challenges
Your organization has vast amounts of unstructured content — documents, emails, PDFs, images and more — that is difficult to search, analyze or use effectively in AI and automation. Plus, it’s often scattered across systems and inconsistently formatted, making it challenging to draw out the business context that should give it value.
Knowledge Enrichment helps you take control of your unstructured data, so your AI systems, agents and analytics platforms can understand, reason and act with confidence.
Key features
Knowledge Enrichment helps you put your AI tools to work by AI-enabling your enterprise content early in the workflow, ensuring it’s optimized for downstream applications as soon as it is ingested.
Curate unstructured content at scale
Convert unstructured data into high-quality, standardized formats that are ready for AI applications, AI agents, analytics and solution development.
Enrich content with business context
Extract key entities, apply metadata and connect related information to give your content the structure and meaning needed for better search, analysis and AI performance.
Extract insights from any file type
Process and preserve the context of over 600 types file formats, including text, images, video and audio.
Generate metadata
Analyze content to identify key elements such as objects, scenes and text, then generate rich metadata to improve searchability, categorization and AI model accuracy.
Why choose Knowledge Enrichment?
As enterprises adopt agentic AI, autonomous decisions will rely on high-quality, well-managed data. Knowledge Enrichment curates and enriches data from across the enterprise, providing the context AI agents need to make informed decisions.
— Rohan Vaidyanathan, VP Content Intelligence Product, Hyland
Explore more about Knowledge Enrichment
Frequently asked questions
What is unstructured data, and why is it a challenge?
What is unstructured data, and why is it a challenge?
Unstructured data makes up as much as 80% of enterprise content and is often scattered across an average of 21 repositories. Unstructured data includes documents, emails, images, audio files and more. Unlike structured data in databases, unstructured content is inconsistent and harder to search, analyze or use in business processes and AI applications.
How does Knowledge Enrichment make data AI-ready?
How does Knowledge Enrichment make data AI-ready?
Knowledge Enrichment uses data curation techniques to structure and normalize unstructured content, making it clean, consistent and ready for use. Powered by Hyland Document Filters, Knowledge Enrichment extracts and transforms data from over 600 file formats while preserving the original context and logical structure. This ensures content remains meaningful and usable across downstream AI, analytics and automation applications.
Can it handle different types of content?
Can it handle different types of content?
Yes. Knowledge Enrichment has multimodal support and can process over 600 file formats, including text, images, video and audio. It also preserves the original context and meaning of each file.
Do I need technical expertise to use Knowledge Enrichment?
Do I need technical expertise to use Knowledge Enrichment?
Yes, the Knowledge Enrichment suite is designed for builders — app developers, data engineers and solution builders. It’s an API-driven solution designed to integrate into broader architectures and workflows but with options catering to varying needs.
- The data curation and context enrichment APIs offer faster time-to-value for organizations that want enriched, contextual output without dealing with the complexity of extraction.
- Document Filters, now part of the Knowledge Enrichment suite, is perfect for technical teams and organizations looking for full control over how content is enriched, structured and delivered for downstream use.
What is the difference between Knowledge Enrichment and the Knowledge Enrichment suite?
What is the difference between Knowledge Enrichment and the Knowledge Enrichment suite?
The Knowledge Enrichment suite provides two options for AI-readiness:
- A Knowledge Enrichment API that handles extraction, enrichment and context generation.
- A customizable option delivered through Hyland Document Filters.
How is the Knowledge Enrichment suite priced?
How is the Knowledge Enrichment suite priced?
The Knowledge Enrichment suite caters to your organization’s needs and technical resources.
Knowledge Enrichment comes with two APIs:
- Data curation API
- Context enrichment API, which handles extraction, enrichment and context generation for organizations that have use cases around AI-ready data, domain-specific linking or connecting concepts across documents.
Document Filters is sold as an advanced extraction SDK for organizations and solution builders that need to extract clean, structured text and metadata from a wide range of file types to build custom workflows that require normalized content.
How easy is it to implement the Knowledge Enrichment suite?
How easy is it to implement the Knowledge Enrichment suite?
Ease of implementation will depend on the needs of your organization.
Knowledge Enrichment APIs enable organizations to focus on preparing content for knowledge graphs, intelligent retrieval, RAG pipelines or industry-specific LLM workflows without dealing with the complexity of extraction.
Document Filters enables organizations to have full control over how extraction is done and how the data is integrated into their own infrastructure, including on-premises or offline systems. This process may entail additional work.
Experience Knowledge Enrichment today
Unlock the potential of your unstructured content with Knowledge Enrichment. Explore how this innovative solution can empower your organization to maximize the value of your content and drive meaningful outcomes.