Our intelligent search solutions apply machine learning to index vast semi-structured repositories and surface the most useful information to answer queries.
Relationships between entities are extracted programmatically to construct a contextual taxonomy.
02
Natural Language Processing
Queries are interpreted for intent and meaning beyond keyword matching to ranking results by relevance.
03
Information Extraction
AI crawls contents like documents, emails and video/audio transcripts to automatically extract named entities, dates and terminology.
04
Semantic Search
Contextual representation of concepts facilitates querying of synonyms, acronyms and related ideas beyond exact matches.
Case study 1
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Go to Use Case Title
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.