Machine Learning
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.
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Natural Language Processing
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.
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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.
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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.
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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.
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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.
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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.