Intelligent Search

Our intelligent search solutions apply machine learning to index vast semi-structured repositories and surface the most useful information to answer queries.

Knowledge Graphs

Relationships between entities are extracted programmatically to construct a contextual taxonomy.

Natural Language Processing

Queries are interpreted for intent and meaning beyond keyword matching to ranking results by relevance.

Information Extraction

AI crawls contents like documents, emails and video/audio transcripts to automatically extract named entities, dates and terminology.

Semantic Search

Contextual representation of concepts facilitates querying of synonyms, acronyms and related ideas beyond exact matches.

USE CASES 1

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Go to Use Case Title

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What Are the Advantages You Should Expect?

Productivity

Relevant information accessibility replaces time-consuming manual search and assembly of insights.

Decision Making

Search powers personalized recommendations and answers questions regarding previous examples and best practices.

Knowledge Management

Centralizing facts and data within the business enhances collaboration and reuse of institutional knowledge.

Efficiency

Automated information extraction optimizes use of human specialists’ subject matter expertise.

Intelligent Search

Our intelligent search solutions apply machine learning to index vast semi-structured repositories and surface the most useful information to answer queries.

USE CASES 1

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What Are the Advantages You Should Expect?

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