Collective data intelligence for
360° market insights
Make better business decisions every day
Accurate Results
Through Artifical Intelligence
Keyword Suggestion
Users of IP Analytics tools usually spend most of their time searching and filtering information before they achieve meaningful results that actually answer their questions. IPlytics has developed a keyword refinement tool to help users gain more accurate results faster. Based on natural language processing methods, the IPlytics Keyword Suggestion generates an output set of semantically relevant keywords. Users are thus able to specify or extend their search without losing control of their query.
Intelligent Clustering
The IPlytics Artificial Intelligence-based cluster algorithm groups millions of documents into meaningful categories in just a few seconds. A semantic cluster overview allows users to navigate into more specific sub-clusters until deep-diving into the source of information. Network graphs illustrate connections of hidden patterns, directing the user to the relevant information needed.
Semantic Search
IPlytics has developed a unique algorithm to compare textual similarities among different document collections e.g. patents, literature or standard documents. Based on a term vector model, the Semantic Search feature understands the content of a given text to identify similarities beyond mutual keyword analyses.