The Readware Institute is the successor of domain expertise and intellectual property (computer algorithms, AI models and systems) acquired over thirty-years of research and development. This combination of our intellectual property and domain expertise will prove itself to be essential to the leaders of deep learning and cognitive computing initiatives initiatives trying to solve the problem of generalization and understanding from language (reading comprehension).

The technology and science were developed and evolved beginning in 1985.  While technology from the eighties may seem old and outdated, (with few exceptions) current studies and products of information technology are based on computer and communications science dating from the 1940s.  Specifically, information technology is based on the Turing machine, theories of computability and Shannon's communication and information theories developed at Bell labs.  Shannon's work developed in respect to engineering problems that did not involve measuring meaning in a conceptual sense or in light of a worldview capable of interpreting conceptual entities.

I shall remind readers that in the second paragraph of the introduction of Claude Shannon's 1948 paper, he wrote: 

The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point. Frequently the messages have meaning; that is they refer to or are correlated according to some system with certain physical or conceptual entities. These semantic aspects of communication are irrelevant to the engineering problem.

Likewise, the engineering of information technology is secondary to the semantic aspects of correlating the physical reference and conceptual entities --derived from symbols found in texts and other sorts of communications, -- within a unified environment of conceptual awareness.

That being said, one can understand Readware Technology as a system with the intelligence necessary to read and compare symbols from text (written in a natural language). Readware is capable of both: a) recognizing the relevance and significance of physical and conceptual entities, and; b) resolving their references and their unifying relations.