I must remark first that it is important for you to understand that technology is not a product.  There once was a commercial company named Management Information Technologies, Inc. (aka: MITi) that produced computer software products that featured Readware technology.  The products,-- called "The Research Assistant", "ConSearch", and the "Readware Ip Servers" --were essentially based upon a well-developed API to software functions supported by the technology.  The company, MITi and its products, no longer exists.

Technology is the vehicle of science and therefore Readware can be understood best as the vehicle of a new science of meaning, intelligence and information.  Initially, the mathematical apparatus and software algorithms called Readware were developed as a means to test and potentially falsify Adi's semantic theory.  Instead, Adi's theory was confirmed. The commercialization of products was then conceived of as a means of funding further development and refinement of the scientific model of intelligence, information, and techniques of exploiting it using modern personal computers.

The technology and science were developed and evolved between the years 1984 and 2005.  The original scientific research of Tom Adi came earlier and then some software was first produced in 1986. The technology still exists as does its founders and producers.  Adi's science is called a new science because (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, let me now define Readware Technology as a system with the intelligence necessary to read the symbols from a text (written in a natural language) and correlate them within an inductive and deductive system capable of both: a) recognizing the relevance and significance of physical and conceptual entities, and; b) resolving their references and their unifying relations.   

The next article discusses the computational basis of Readware's intelligence (what makes it an efficient vehicle and conduit of information) including its logical basis (how it finds the attributes of the environment and determines the significance of information).  

The Computational Basis of Readware Technology