Intelligent Search
Our intelligent search solutions apply machine learning to index vast semi-structured repositories and surface the most useful information to answer queries.
01
Knowledge Graphs
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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