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.
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.
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.
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.
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:
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:
If you wish to participate in this initiative, kindly write to email@example.com
Sam Zellner, a prolific inventor, retired executive director innovation at AT&T is the product lead for PQAI.