AI’s Next Generation Natural Language Understanding API
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Language Based AI
Pat Inc. is teaching language to machines. We deliver meaning-as-a-service: connecting natural language with structured information that creates meaning and understanding. Pat Inc. is building the world’s most powerful natural language service for developers to build intelligent agents and applications that you can talk to or text.
Linguistics not Statistics
The difference with Natural Language Understanding (NLU) is not in how it translates words or guesses the intent of a question. It understands the true meaning of sentences and conversations. Pat Inc. takes a linguistic approach to NLU, not statistical or machine learning based. After all, humans don’t learn language reading thousands of books and memorising colocation patterns and probabilities.
Training Data Not Required
Rather than training data or annotated corpora, Pat builds knowledge on language just like a human by progressively learning the way words are combined, regarding real objects, people, processes, and events in context. Pat is not trying to learn patterns about language meaning from big data, an approach that is still struggling to beat the language capabilities of a 3-year-old.
Pat Inc.’s approach to NLU is language independent and delivers one solution across all languages. The meaning of a sentence or conversation is mapped regardless of the language. In fact, multiple languages can even be mixed up within a single sentence or conversation and still connect to meaning.
“Pat offers next generation Natural Language Understanding technology, that is capable of being the conversational user interface of the future.”
Dr. Hossein EslambolchiAT&T CTO 1986-2006, 1000+ patents BS, MS, Ph.D UCSD, Top 10 Influential Leaders of the 21st Century, Chief Technology Advisor
“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.”
Professor Robert D. Van Valin, JrUniversity of Düsseldorf and University at Buffalo, The State University of New York, PhD UC Berkeley
“To teach computers conversational skills and language, we need to connect language to some form of meaning representation in the computer, like Pat is doing.”
Chris LonsdaleBSc Hons Psychology, First Class honours, Chairman Third Ear Publishing, Tedx speaker over 13m views
Natural Language for Developers
Pat Inc. offers next generation NLU for developers to build language-based applications and devices for users to engage, talk and text. Our vision is to humanize conversations with machines. Pat doesn’t need corpora to train on a new domain. We’re teaching machines language, not data. In functional linguistics the words and phrases connect to meaning or as we say, Form follows Meaning™.
Search engines put the world’s wealth of information at our fingertips, but imagine the difference if you could search with natural language? Google knows firsthand the frustration todays state-of-the-art causes users, who often need to try a number of different search results to find the answer they are looking for.
- Human-Machine Conversation
Customer Service intelligent assistant
Key decisions in the financial markets are increasingly moving away from human oversight and control. Algorithmic trading is becoming more standard, a form of financial investing that is entirely controlled by technology. But, many of these financial decisions are impacted by news and by journalism, which is still presented predominantly in English.
- Sentiment analysis
- Text analysis
IoT and Robotics
Today we have started talking to our smart homes and home robots. How much better will this be with natural language that understands when we make corrections to our spoken words and its response more closely mimics a human? When ambiguity is handled or clarified. We are only at the beginning of the social robot and home automation revolution.
- Home Automation
- Conversational User Interface
How does it work?
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