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Cipher
Cipher

Understanding which of your competitors own patents relating to your technologies is key to any competitive intelligence function. Cipher automates the analysis of competitive intelligence to support strategic patenting decisions. Cipher has a range of benchmarking metrics and has been optimised for analysing competitors and new entrants using your technology lens.

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Artificial Researcher
Artificial Researcher

Artificial Researcher is an information technology company and a start-up in the text mining industry. We are specialists in developing novel and innovative cross genre scientific text mining systems tailored to the needs of researchers and information search professionals, such as client customized indices for local deployment.

Part of the text mining technology was developed during our CEO Linda Andersson's PhD work at Technical University of Vienna (TU Wien), for example the passage retrieval, the automatic query formulation, and a merging method of document index and paragraph index. Our system solutions offer our customers and clients a market advantage, we reduce their efforts in terms of time spent searching and reviewing information.

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Focus
Focus
  1. Focus can give you unparalleled strategic insight into your competitive environment and the players in it. With Focus, you can hone your IP strategy, and effectively communicate its value to the board.
  2. Founded in 2019 (seed funding). Pilots in 2020. Scoring portfolios. SaaS launch Q1 2021
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Amplified
Amplified

Amplified gives superpowers to IP and R&D teams. Through cutting edge AI and smart automation, Amplified makes finding and sharing technical knowledge faster, more efficient, and more effective. Just by writing down their ideas, researchers and engineers instantly get back similar patents and can easily share that context and how their invention is unique with an attorney. Patent professionals can go deeper to gain peace of mind with only a fraction of the time and cost. Amplified's naturally intelligent patent search has been verified on more than 1.5 million patent applications and is trusted by leading IP departments, law firms, and patent analysts around the world. Empower your team to do more with fast, accurate, and reliable patent intelligence.

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IPRally
IPRally

IPRally offers a completely new way of searching patents: Knowledge graphs and supervised deep learning AI.

All features of +80M prior art specifications and claims are automatically extracted into a graph format and the AI trained to compare an input graph with the pre-converted prior art graphs. The deep learning AI is trained with real Patent Examiner citations to find the most relevant pieces of prior art. You can focus on the core of the technology of interest and let the AI do the tedious feature matching with deep level understanding of technology.

An intelligent search engine that thinks like a patent professional is born.

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Relecura
Relecura

Offers a global IP database along with AI-powered tools customized to various workflows including prior art search, IP landscaping, patent categorization, technology tracking, competitor analysis, IP commercialization, and automated patent alerts. Ideal for IP professionals in corporations, IP law firms, R&D firms and academic institutions. The tools include Novelty, Tech Tracker, Categorizer, Tech Explorer, and Enterprise WebTool.

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PQAI - Patent Quality Through Artificial Intelligence
PQAI - Patent Quality Through Artificial Intelligence

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:

  1. Accessible by all, no need for extensive training or funds
  2. Powered by AI to provide extremely effective search results
  3. Capable of searching combinational prior art (103), the most frequent reason for rejection at the USPTO
  4. Supports natural language queries
  5. 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:

  1. Advisors - Patent professionals who can test the tool, share their feedback and help PQAI improve and promote the adoption of PQAI.
  2. 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.
  3. 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 sam@projectpq.ai

Sam Zellner, a prolific inventor, retired executive director innovation at AT&T is the product lead for PQAI.

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