Advantages of using Hyland Knowledge Enrichment
Transforms unstructured content from over 600 file formats into structured, AI-ready data
Explores relationships and context between documents and data points
Makes content findable and usable through context enrichment and metadata generation
Reduces manual post-processing and lowers operating costs
Improves data quality, consistency and compliance
Optimizes AI and analytics projects with high-quality, contextualized data
Scalable for large data volumes and complex company landscapes
Integration & areas of application
Hyland Knowledge Enrichment offers rapid AIreadiness for enterprise data, which is ideal for RAG pipelines, AI agents, knowledge graphs and analytics. The solution automates metadata generation and contextual enrichment, resulting in improved search, classification and recommendations. It also supports compliance, audit and data protection structured and traceable data. These functions can be used across all sectors, for example in universities, retail, financial service providers, public administration and many other areas.
Technologies & Architecture
Hyland Automate empowers different user groups with a modern, role-based platform:
Data Curation
Transformation of raw data into clean, structured and AI-ready content from over 600 file formats (e.g. PDFs, Office documents, images, audio, video)
Context Enrichment
Context enrichment by recognizing relationships, meanings and metadata - systems not only understand content, but also contexts and intentions
Document Filters
Precise extraction of text, metadata and embedded content, including preservation of tables, headings, formatting and position data
API-based integration
Easy integration into existing workflows, AI pipelines and analytics platforms (cloud, on-premises, edge)
PII masking
Automatic recognition and masking of sensitive data (e.g. names, addresses, account numbers)
Contextual chunking & embeddings
Intelligent segmentation and semantic vectorization for retrieval augmented generation (RAG), AI search and agent applications
Data Curation
Transformation of raw data into clean, structured and AI-ready content from over 600 file formats (e.g. PDFs, Office documents, images, audio, video)
Context Enrichment
Context enrichment by recognizing relationships, meanings and metadata - systems not only understand content, but also contexts and intentions
Document Filters
Precise extraction of text, metadata and embedded content, including preservation of tables, headings, formatting and position data
API-based integration
Easy integration into existing workflows, AI pipelines and analytics platforms (cloud, on-premises, edge)
PII masking
Automatic recognition and masking of sensitive data (e.g. names, addresses, account numbers)
Contextual chunking & embeddings
Intelligent segmentation and semantic vectorization for retrieval augmented generation (RAG), AI search and agent applications
Use cases for knowledge enrichment
Standardization and enrichment of research documents, product data, guidelines, contracts, e-mails and images
Automated check for brand or guideline compliance (e.g. by compliance AI agents)
Development of knowledge databases and AI-supported search solutions
Automated data preparation for AI models and analytics platforms
Implementing Hyland Knowledge Enrichment with it-novum
We integrate AI components into existing process and document landscapes in a targeted manner – always with a focus on practical applicability and measurable added value.The aim is to increase the degree of automation, ensure quality and expand your organization’s scope for action. Our services: