What makes this different to search engine technology?

This technology uses a type of intelligent scanning that is able to accurately detect natural patterns in information and apply a interpretation in a way a human researcher would. Standard search engine technology provides a powerful indexing system, but even the largest search engines can't control the relevance of the information returned by a search. This is controlled by the content and how or where keywords appear in a document.

Imagine you are searching for information on the musical 'Cats'. If you type the word 'Cats' into your favorite search engine, you are likely to get back 100,000+ records on document relating to this. Some will relate to animals, some to vets, some to the musical, some to a local restaurant called 'Cats' and so on. So you decide to get smart and type 'Musical Cats' or 'The musical Cats', next you record a massive amount of records this time about all the topics above but also about a toy store that sells toy musical cats...anyone that has used a major search engine understands just how messy this process can get! You need to then wade through each page of content checking the relevance. When this process starts to chew up your time it is referred to as 'Information Overload'. So what if you had a technology that could sort through information and help determine what was relevant and what was not?

Information overload not only occurs using search engines, it occurs when professionals are asked to absorb huge quantities of information. Everyone has different ideas about what is most relevant in any given topic, but when you are presented with a massive document or project one thing is clear, your only option is to try and absorb everything for fear of missing something. Many people spend days trying to absorb everything in a document because they simply have no idea where to begin or what is relevant vs irrelevant. In many ways this lack of control over relevance is the same as the search engine syndrome. Imagine if you could short hand this and quickly identify all the key themes and ideas? Imagine the impact on your efficiency?

How does the Knowledge Engine know what is important?

Cirilab’s technology uses proprietary algorithms to extract the major thematic concepts within the document, processing information and understanding themes in the same way a human would. This 'human AI' ability is what makes the technology so revolutionary when compared with normal search systems.

Mindsystems ThemeReader uses Cirilab’s advanced theme scanning technology to quickly and reliably detect common themes and concepts within a document. This technology is based on years of high level research and involves many highly complex algorithms. The core application is so advanced it behaves in a multi-adaptive way based on what information you feed into it. Therefore trying to provide a single answer as to exactly how the results are produced is not possible, as this will change based on what is provided. What you can be assured of is that the power and depth of the technology will provide the most comprehensive and accurate result possible.

All this considered, the best method of understanding exactly how it works is to focus less on the actual mechanics and more on the result it produces, and how these results relate to your specific needs.