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.

Computer Vision

By customizing models to your unique content domains, we help organizations harness insights from visual assets to optimize operations, enhance experiences and more.

Enterprise Knowledge Graph

Connected Intelligence for Strategic Advantage As organizations gather extensive volumes of diverse data across business lines, the opportunity to extract unified understanding grows exponentially. However, information residing in application silos or disconnected systems limits strategic perspective. An enterprise knowledge graph (EKG) addresses this challenge by establishing a virtual intelligence nucleus linking relevant entities and semantics from distributed sources.

Recommender System

Our recommender solutions apply machine learning to analyze user behavior and item attributes, delivering individualized suggestions that drive engagement and satisfaction.

Anomaly Detection

Our knowledge graph solutions build contextual taxonomies linking entities across your data ecosystem to power predictive analytics, personalization and more.

Embedded AI

Our embedded AI solutions develop custom machine learning models optimized for deployment on edge devices to power autonomous functionality.

USE CASES 1

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What Are the Advantages You Should Expect?