The use of search terms, applicants and patent classes is a common way of formulating a search pattern. However, we have found that knowledge of patent classes and how they relate to subject matter is not so widespread, especially among users who do not deal with patents on a daily basis. Among other things, PQAI suggests appropriate classes based on a text, which is extremely helpful and time-saving. It also widens the scope of the search.

We use PQAI a lot and can highly recommend it to other users.

PQAI is a fantastic project that provides a user with a powerful patent search tool at their fingertips. It is by far the easiest and most effective way to quickly track down relevant IP utilising natural language queries, surpassing all the other free services I have tried in this field, and even some paid databases. Its API is also a great feature that has been integrated into some of our in-house tools, allowing our designers and researchers to quickly get a view of the patent landscape for a particular idea, without the need to switch their attention to another platform. In a world where some are suspicious of the rise and power of AI, it is wonderful to see it being put to good use like this and freely available to everyone interested.

As an AI Fellow at R42 Group, I spearheaded the development of a cutting-edge patent search tool tailored for the life sciences industry. Leveraging PQAI's robust API as the backend system, I was able to create an innovative solution that significantly enhances patent search capabilities. The swift and expert support from the PQAI team played a crucial role in the success of this project, enabling seamless integration and rapid development.

I value PQAI a lot because it offers a powerful to retrieve patents via a semantic search. My impression is that this semantic search is carried out within the abstracts.

I find the various endpoints very useful, for example that endpoint which returns independent claims specifically.

really liked the experience with PQAI so far! I'm primarily using the semantic search and semantic CPC lookup, mostly through the API and sometimes over the website. Response times are really good, and the API has a nice developer experience.