AI applications need Natural Language Understanding

5 professors on our Scientific Advisory Board are unanimous on the following:

"Pat Inc. has made the biggest breakthrough in
Natural Language Understanding (NLU) which is an AI-hard problem."

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Pat humanizes conversations with machines

About Pat

How does this work?

Pat, the meaning matcher, parses straight to semantics combining the linguistic RRG Model with a proprietary neural network. Pat matches every word to the correct meaning based on the meanings of the other words in the sentence or story just like a 3 year old does without guesswork. As a result, language is broken down by meaning, storing only certainties like a human does, not probabilities.

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testimonial Professor Avideh Zakhor Department of Computing Sciences, UC Berkley, PhD MIT "Pat parses straight to meaning unlike any NLP/deep learning/linguistic solution out there. This ground breaking technology allows for a meaningful conversation with a machine.
testimonial Professor Robert Van Valin, Jr. University of Düsseldorf & University at Buffalo, The State University of New York, PhD UC Berkeley "Statistical systems can accomplish NLP to a considerable degree, but they can never achieve NLU, which involves meaning. The answer lies in linguistics. Pat Inc. solves that."

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