Query Understanding
Identifies, parses and extracts entities and concepts mentioned in a query, with the primary goal of interpreting intention using a combination of language specific processing, language independent processing and user context.
Learn More
Semantic Ranking
Incorporates natural language understanding and machine learning to analyze words, concepts and queries. Uses various ranking methods to decipher ontological relationships and rank results correlated to user intent.
Learn More
Knowledge Base
Our core knowledge representation and reasoning component applies a multi-layer approach to support reasoning procedures like inference, inheritance and transitivity from cognitive and behavioral perspectives.
Learn More
Applied Data Science
Using natural language processing and natural language understanding to break down and understand queries by filtering information through a combination of data processing, machine learning, data mining, statistics and predictive analytics to effectively gauge user intention to deliver relevant results.
Learn More
Distributed Computing
Two important attributes of a good cloud application are its ability to be resilient and to scale. The NTENT Search Platform achieves those objectives through a variety of strategies leveraging homogeneous servers, redundant spine-leaf networks, virtualization and solutions that are parallelized.
Learn More
Platforms and Languages
NTENT supports a wide variety of platforms including: Windows, Mac, Linux, iOS and Android platforms. In addition, we work with our partners to provide customized platform support when required.
Learn More
Capabilities
NTENT provides an end-to-end technology platform that enables us, and our partners, to predict and deliver relevant information based on user intent.