Making Prior art search accessible to all
PQAI is a collaborative open source initiative to build a shared AI-based prior-art search tool. At PQAI, we envision a prior art search engine that is:
- Accessible by all, no need for extensive training or funds
- Powered by AI to provide extremely effective search results
- Capable of searching combinational prior art (103), the most frequent reason for rejection at the USPTO
- Supports natural language queries
- Simple implementation using a distributed architecture eliminating the need to create and maintain a large database.
The vision is big and it can’t be realized without community support from across the globe. Here is how you can help support the project:
- Advisors - Patent professionals who can test the tool, share their feedback and help PQAI improve and promote the adoption of PQAI.
- NLP practitioners - The plan is to make PQAI open source just as LINUX, developers can branch out the code, create different versions. For example: Currently PQAI cannot process the data related to chemistry patents, maybe one of the developers can build a version that caters specifically to chemical patents.
- Patent Offices - Patent offices can contribute and benefit by providing PQAI access to their examiners and inventors to help grow the user base and If all the patent offices can have an instance of PQAI search engine and they become a part of the distributed network; the amount of data in which the prior art search shall happen will be humongous, almost universal.
If you wish to participate in this initiative, kindly write to firstname.lastname@example.org
Sam Zellner, a prolific inventor, retired executive director innovation at AT&T is the product lead for PQAI.