
iFinder: the Most Important Features
What our Enterprise Search Offers

Best Results and Optimal User Experience Through the Synergy of Search and AI Assistant
- Excellent hit relevance
Results that exactly match the search query and the user - powered by NLP, AI and advanced linguistics - Semantic search
Identify context beyond data silo limits - Easy aggregation of data
In the hit list or using a knowledge panel - Deep analysis of found documents
Much more than a full-text search - Generativ AI with iAssistant
Integrated AI assistant for question-answering

Users are delighted with this
- Intelligent autocomplete
Including for multi-word phrases, with secure search functionality and typo correction - Convenient preview options
For more than 600 file formats with search terms highlighted - Results list for images and videos
Preview of video content directly on the search results page - Knowledge panel
Presents key information at a glance - Ask a document
To interact with retrieved documents via iAssistant for detailed insight

Safety first
- Secure search
The secure search only returns documents, filter options and suggestions for autocomplete for which the user is authorized - Rights and role concept
With iFinder, complex rights and role concepts can be mapped - Multi-client capability
You can install and administer the solution centrally and serve any number of locations with individually tailored search solutions

Content Enrichment
iFinder helps you generate and manage uniform metadata and keywords from documents automatically. It allows you to evaluate and compile document content intelligently.
Use AI methods to enhance documents with relevant metadata and categorize them into certain topics, to mark them with tags for personal data, for example, or deletion period, intellectual property, secrecy levels, or export control regulations.
Key iFinder Components
Intelligent Search, Precise Results: iFinder Feature Highlights

Linguistics Makes the Difference
IntraFind linguistics enhance the hit list to make it more complete and precise. Terms are normalized to their basic form (lemmatization) and compound terms are broken down into their individual meaningful parts (compound decomposition). For example, the plural form "policemen" is reverted to its base form "policeman". The word "policeman" is recognized as a compound and separated into the single words "police" and "man". Users no longer have to know how a term is spelled because all variants are delivered in the results. Diacritical marks such as German umlauts are normalized, units can be normalized and converted, and all orthographical conventions are taken into account.

Customized Search Hits through Search Profiles
Administrators can create separate search profiles for specific user groups or even individual users with flexibility and ease (profiles for certain departments or employees at a site, for example). This approach allows them to restrict searches to certain data sources, document types, document languages, or site-related information, for example.