OpenText Cognitive Search logo

OpenText Cognitive Search

by OpenText · Since 1991
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ActiveAvailable globallyCloud
Quick facts
VendorOpenText
Year launched1991
StatusActive
Location275 Frank Tompa Drive Waterloo ON N2L 0A1 Canada
Countries servedGlobal
Languages1
Integrations
Free tier
Free trial
Contact salesYES

About OpenText Cognitive Search

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OpenText Cognitive Search is a powerful enterprise search solution that leverages advanced AI and machine learning techniques to enhance information discovery and retrieval within organizations. It offers a robust set of features, including unified search, natural language processing, semantic search, automated data labeling, faceting, and analytics and reporting. The software is designed to be user-friendly and intuitive, with a well-organized interface that makes it easy to navigate and use. One of the key benefits of Cognitive Search is its ability to break down data silos and improve the findability of structured and unstructured data. This is particularly valuable for organizations with large and complex data sets that are scattered across multiple systems. By providing a unified search interface, Cognitive Search enables users to quickly and easily find the information they need, regardless of where it is stored. In addition to its search capabilities, Cognitive Search also offers advanced analytics and reporting features that can help organizations gain insights into search usage and performance. This information can be used to identify trends, optimize search strategies, and improve overall user experience.

Pros & Cons

What users like
  • +Enhanced Findability: Improves user access to information.
  • +Relevancy: Delivers highly relevant search results.
  • +AI Utilization: Leverages AI for smarter search capabilities.
  • +Unified Search Experience: Combines results from various data silos.
  • +Compliance Ready: Meets legal requirements for information accessibility.
What users flag
  • Complexity: May require training for optimal use.
  • Integration Challenges: Potential difficulties integrating with legacy systems.
  • Dependency on AI: Reliance on AI may lead to inaccuracies if not properly trained.
  • Performance Variability: Search performance can vary based on data structure and quality.

Features

Key features

1. Automated Data Labeling
Matches a user's intent to enhance findability.
2. Hierarchical Linking
Automatically organizes data for more accurate results.
3. Natural Language Processing (NLP)
Provides intuitive content suggestions.
4. AI Training Models
Uses available taxonomies for improved search relevance.

Additional features

1. Unified Search
Searches across internal data silos to provide comprehensive results.
2. Compliance Support
Ensures content is discoverable for public information requests.
3. Market Monitoring
Automates news tracking for industry insights.
4. Contract Clause Search
Assists in contract review and compliance with legislation.
5. Health Information Tracking
Identifies and tracks health-impacting events.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
12
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇿NZD🇰🇷KRW🇸🇬SGD

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