A proprietary extension developed in-house by Cognitee based on model proposed by cognitive linguist Stephen Toulmin, CogStructure is a Knowledge Representation (KR) framework used to visualize the structure of texts, speeches, conversations, or any form of expressed human thought.

Knowledge Representation (KR) is one domain of research in artificial intelligence, along with automated reasoning and natural language processing.

Think of health check-ups. In many cases, examination results are expressed in numbers, as in blood tests, to avoid doctor’s bias. The same thing is happening within companies and individuals. It is becoming increasingly common to use various data to make objective decisions.

However, in many areas that deal with qualitative information, such practice is still difficult to implement.

Using CogStructure to organize human thoughts into structures means converting qualitative information into quantitative one. This conversion, utilizing various techniques from common statistical methods to machine learning, enables the analysis of human thoughts.

CogStructure conversion process requires a set of advanced technologies that each element worth its own research field. However, with the following set of processes, Cognitee has succeeded in making it commercially viable:

Breaking down the process thoroughly and simplifying the criteria

Processes that can’t be automated with current technology are handled by human

Since both quality control and scalability can be achieved, we think of this as the application of factory production model in the knowledge-based industry. And we believe that accumulation of data and know-hows would become new strength of our company.

An analytical tool for assessing sales talks, presentations, interviews, and other forms of communication quantitatively.

The product line consists of UpSighter Sales, a tool to grasp the needs of the entire company and create a set of customized indexes and scoring algorithms based upon that, and UpSighter Boost, to analyze employees’ talks on monthly basis.

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