AI-based Semantic Search

INTERGATOR Patent Search combines keyword-based and semantic search based on artificial intelligence for the first time into a modern and powerful patent search. Users can take advantage of both strategies within one search solution and significantly expand the search without having to worry about ambiguity or imprecise terms. Even the entry of sentences, paragraphs or entire documents is possible with INTERGATOR patent search, as their content is captured and evaluated for the search.

The patent search uses various artificial intelligence methods and processes data and documents on the basis of complex neural networks. Information from a document is independently assigned to a trained model and evaluated on its basis. Unlike conventional searches that look for the occurrence of terms, the INTERGATOR Patent Search incorporates the larger context into the evaluation. How often and in what context does the search term occur? Is there similar data that does not contain the term but is still thematically relevant? This new type of search revolutionizes the search in large data sets, because the search is semantic and places meaning above occurrence.