The IPscreener AI helps you to explore and read patent information from a text. By the the OpenCovidPledge cooperation IPscreener offers free access to the Open Covid Pledge portfolio and to our global patent database. Please note and acknowledge that the open license is limited to support research made to fight Covid-19. Read more on the global initiative sharing IP to stop and remedy the pandemic at https://opencovidpledge.org/
IPscreener search tool provides easy access to the knowledge hidden in patents to everyone. A simple text input on IPscreener gives insights to relevant documents and allows zooming in on important text passages that you should start reading first. IPscreener offers integrated reporting of work done by the user and uses self-learning from user actions to improve next searches by highlighting relevant terms.
Use texts as input to get an overview of the innovation landscape, trends and related patents. The AI assists easier understanding of documents found by pointing out relevant text passages, highlighting the key terms and insights to the technology domain. Further searching is done by simply selecting and ranking interesting text or paragraphs, with no need for search strategies.
For each new text input IPscreener automatically presents the most relevant classifications according to the CPC.
IPscreener offers to switch between simple and extended patent family view when reviewing documents.
Results are sorted in order of relevance, and provided with automatically highlighted key terms as well annotated text passages of main relevancy. This helps to start read reading the rights sections and support faster understanding how and why a document is relevant.
Data export sets and Reports are either manually configured or automatically generated on the fly based on the user actions and comments.
IPscreener allows users to share ongoing work and to iterate on results, which includes annotation of text passages and adding of comments easily accessible via markers. Actions taken are automatically updated and saved in a work dossier for each case for later follow up or further development.
A user may add non-patent data, such as internal archives, to be searched by the IPscreener platform.
By ranking documents found as relevant or not relevant, the AI uses this information to improve the next search.