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Introduction

Thank you for considering our tools. We believe that we have significant new products and technologies that will change the way we create and review documents. It is no secret that the computer and the Internet revolution have provided us with so much data that we are unable to effectively consume this data. Our products and technology address this serious issue and we are working so that they will become as common as word processing.

Do you and your readers spend hours reading and trying to understand densely-written technical documentation? Would you like to automate the read and review cycle to find the information you are interested in from the mass of data available in a specification or other document?

With our products you will reduce your read and review cycle from days of reading laboriously one page at time to just moments. Watch the short demonstration videos to see how you can spend less time in reading one page at a time and more time understanding a document's content.

Specification Analysis

                   

Document Analysis


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Why You Need Automated Document Analysis

Computers and the Internet have revolutionized our world. With that revolution two broad trends have surfaced, Information Overload and Loss of Human Assistants and Mentors.

1. The first is information overload. There is too much to read and not enough time to read it. The Internet has become the "expert systems" that were attempted in previous decades but rather than disparate solutions, there is one big brain with a vast amount of information. It has become the ultimate expert system providing insight and solutions to millions every hour of every day. This is possible because people are willing to offer and access this information.

2. The second is automation, which has removed many layers of human assistants and mentors that previously existed. This is a significant void with significant impact in productivity. So we have documents to read but no staff to do the highlighting, digesting, and summarizing (VU-Graph form or white papers). We also have separated our mentors from apprentices so that it becomes impossible to write a simple technical specification. Check lists or style guides are not written, and if they do exist are lost or ignored by the organization as being an old technique. But progress is only possible if someone or something performs the role of the assistants and mentors.

Why CassBeth

Our products are based on an Analysis Tool Engine that works like an Internet search engine except instead of returning web pages they return text blocks from a document. The search criteria have more attributes and settings than an Internet search engine. The search settings are grouped into services and rules that are saved as templates. The products come packaged with default templates that contain default services and rules. The user loads a template, submits a document for analysis, if needed modifies the services and rules in the original template, and saves the new settings as a new template. The product runs on a personal computer and uses the default web browser for the interface. It feels like a web page Internet experience where an agent is working for the user to answer questions about a document as needed.

Our Products

SAT is an assistant to the young engineer trying to write a specification. PLA is an assistant to an author trying to write in a clear and concise fashion. GDA is an assistant to a researcher trying to understand a policy document on Global Warming and what elements might be missing in the policy. LAT is an assistant to the congressional staff trying to understand the role of special interests. CAT is an assistant to the high school teacher demonstrating to students the differences of governments and their evolution on earth. SAM is an assistant to help you find that needle in a haystack of your local or network drives before you begin in depth document analysis. These assistants were previously people that took notes, highlighted text, and summarized findings to others in an organization. These assistants were also senior level mentors who developed checklists, style guides, and wisdom in the form of dialog.

Our Technologies

CassBeth uses the Internet technologies to look at unstructured data. We use the simple example of the search engine, but expanded into services and rules, that are open and defined by the users. These services and rules using our engine and framework find the information from the data pool much like finding the rare plant in a valley of trees by scanning with the eye. The scanning with the eyes, or templates, is saved for future reference because there are always other valleys that need to be examined. So content is extracted, highlighted, counted, and commented as defined by a template, which can change on the fly, as the user directs their attention in an infinite number of areas, to answer questions with each new finding and insight.

This is the next generation in computing.

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