IPRally

A collaborative, not-for-profit initiative to build an open source ecosystem of AI components to drive innovation and improve patent quality. To make the patent process more transparent for all involved, significantly grow the number of inventors, thus accelerating the pace of innovation and simultaneously improving the overall quality of patents. Open source software is a big driver of freedom, trust, and innovation in the digital age. It’s time to bring open source to patent search. PQAI enables researchers, developers, and tinkerers working with patent data to leverage advanced AI, get community support, and help them make a big impact. Developing an effective natural-language-based patent search platform is one of the biggest problems in the field of patent data mining. PQAI aims to bring the best minds working in this area to collaborate and develop AI components to tackle this huge challenge.

Patentfield is a patent search and analysis platform that combines advanced search, data visualization, AI functions, etc. It's not only for searching, it also has AI semantic search and AI classifications for screening patents faster. AI has been learning word meanings from over 10 million data patents in order to find similar patents. By scoring in descending order of similarity from any natural documents or specific documents you want to find, you can investigate immediately from the patent literature that is close to the technology you are looking for without preparing teacher data, etc. Similar image search allows you to input image data and search for patents and design publications that have similar images, targeting the drawings disclosed in them. The system also supports the input of multiple drawings, enabling similar image searches based on a set of six views for designs, or a combination of exterior and internal structure images for patents.