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Shaping the future of patent searching through AI

A collaborative initiative to build an open-source ecosystem of AI components to drive innovation and improve patent quality.
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An initiative by

Vision

Patent Quality Artificial Intelligence

To create a transparent patent process, empower more inventors, and accelerate innovation while improving patent quality.

Open-source AI for Patent Data Mining

Open source software (OSS) is a big driver of freedom, trust, and innovation in the digital age.

What Linux did in the OS space and what Mozilla did in the browser space are the results of open source initiatives.

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.

Help PQAI Democratize Patent Search

Making breakthroughs possible

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.

Bringing cutting-edge technology to users

A lot of excellent work done by researchers ends up gathering (digital) dust in some obscure Github repositories or research papers. PQAI aims to enable researchers to create a big impact with their work by making it available to real users.

Speeding up the inventive process

A big fraction of patent applications filed at patent offices around the world is rejected because it is found that the inventors ended up reinventing something already patented. PQAI aims to help inventors find inspiration and prior work on their problems.

Improving patent quality

The decision to grant a patent is largely based on a prior-art search done by patent examiners, but with so much data, it is getting increasingly difficult to run a thorough search. PQAI aims to provide patent professionals with tools to run accurate searches by leveraging AI.

Leveling the playing field

Open access patent tools help under-resourced inventors from diverse backgrounds and start-ups or small organizations to accurately assess their inventions. It helps them achieve more success at the patent office under budget constraints.

Driving trust in the industry

It is known that AI can have subtle biases that can make it act in unintended ways. That’s why it is important for AI programs to be developed via an inclusive and open process. An open source development model is the best way to impart trust and transparency.

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Empowering Innovation Through Open-Source Solutions

PQAI is dedicated to making patent searches accessible, efficient, and community-driven. Here’s what we’ve built to help inventors, researchers, and developers:

PQAI_Search

Patent Search and Analysis

Leverage AI to discover prior art and patent trends efficiently. Export results as PDF reports for deeper insights and collaboration.

Learn More

Concept Extractor

Extract key concepts and keywords from patents to enhance your search accuracy and find related ideas.

Try Concept Extractor
Keyword_suggester

Keyword Suggester

Find industry-specific terminology to refine your patent searches and communicate your ideas effectively.

Try Keyword Suggester
CPC_look_Up

CPC Lookup

Identify relevant IPC/CPC codes based on your invention’s description. Focus on specific technology areas with ease.

Try CPC Lookup

GitHub Repository

Contribute to or use PQAI’s open-source tools. Access the GitHub repository to integrate or build on our AI-powered solutions.

Explore GitHub Repository

Data Sources

Leading the Charge at PQAI

Sam Zellner serves as the team lead at PQAI. He brings decades of experience in intellectual property management and innovation. He has overseen large patent portfolios, guided strategies to improve IP processes, and contributed to advancing the field. Recognized as an IAM Strategy 300 Honoree, his expertise is widely respected.

At PQAI, Sam guides efforts to improve patent searches using advanced AI technologies. His work focuses on making the process more effective and accessible for inventors and professionals.

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Funders and Supporters

Our Testimonials

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.
Thomas Sütterlin
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.
Tobias King
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.
Akshay Harlalka
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.
Inventor
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.
Daniel Stoll

Let’s make innovation accessible to all.

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PQAI is a collaborative initiative to improve the patenting process by developing tools that enable better prior-art search and analysis.
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    Subject: Letter of Support for PQAI

    Dear PQAI Team,

    We are pleased to express our support for PQAI and its mission to revolutionize patent searching through open-source, AI-driven solutions.

    At [COMPANY NAME], we recognize the importance of accessible and efficient patent tools in fostering innovation and empowering inventors from diverse backgrounds. By supporting PQAI, we aim to contribute to the development of transparent, collaborative, and impactful solutions for the intellectual property community.

    We kindly request the addition of [COMPANY NAME] to the official List of Supporters of PQAI.

    Sincerely,

    [CEO or Equivalent Name]
    [Title]
    [Company Name]
    [Signature]