Welcome to the Patent Licensing Revolution
Increase Patent Licensing Revenues and Identify Infringement
Powered by Machine Learning
Who We Are
A group of IP professionals, data scientists and software developers working together
to provide a direct link between patent information and revenue
What We Do
We help inventors and corporations to capture and protect the value of their innovation by using AI to identify additional licensing revenue and infringement
How it Works
Self-learning neural networks taught using patents, review your inventions to identify overlapping concepts published by other corporations
Why Change
Our AI processes millions of documents allowing you to focus on commercial decisions. Outdated manual tools cannot deal with the volume of data effectively.
Addressing the Challenge
The Patent Haystack
Patent searching continues to be a time consuming and expensive process. There are 14 million patents in force and over 3.5 million new global patent applications were registered in 2021 alone, but the bulk of patent search work continues to be conducted manually using keyword and basic semantic search tools.
With rapid improvements in machine and deep learning, artificial intelligence (AI) can analyse IP data rapidly and cost effectively. Yet, the IP sector still has to search, filter and cross reference vast amounts of data for insights. Why?
The Patent Haystack
Establishing a correlation between proposed inventions, registered patents, and other similar granted patents is a time-consuming, expensive and error-prone process...
resistance to change
Patent databases are the world's largest repository of technological information. Understanding how competitor's activities relate to your invention helps provide the necessary commercial context, however, the technology used by existing search providers cannot match the concepts held in patent documents in an automated fashion. Search tool providers focus on incremental enhancements to patent search, rather than automating search processes and provide commercial and legal context.
Other sectors have embraced the potential of machine learning and artificial intelligence. The IP search and analytics industry is still catching up...
Our solution
Cintian has developed a solution that gives critical information on the relationship between proposed inventions, published patents and corresponding licensing standards. Risks and commercial opportunities that would have previously been unidentified, or taken weeks to research, can be identified quickly, reliably and at a reduced cost. By evaluating the language in patents, Cintian empowers inventors, patent owners, attorneys and R&D departments to make informed strategic decisions that avoid expensive pitfalls, maximisingthe commercial value of innovation. Find out more
Our solution
-
Use patent data to identify licensing targets
-
Automated Prior Art with immediate results
-
Identify relationships between technological concepts that would have never been identified
Our Vision
Matthew Read
Chairman
".. 'I’ve registered this amazing idea, but I’m not sure if it’s now being used by someone else' is often the reaction of inventors to their innovation.
The challenge is to determine whether their idea is already known and whether it has been published in the patent literature. This could constitute a commercial road block and make exploitation of the idea commercially problematic. But if the invention is novel, identifying parties that may be illegally exploiting the license a granted patent provides, is also difficult to establish.
High quality patent searching is crucial for answering these questions. Given the volume of data and the fact that keyword or semantic searching is the only way to navigate these databases, specialist searchers' are typically employed, which can prove time consuming and expensive. When cost or time are in short supply, risks are taken. As a patent attorney, it was always difficult to advise how much time a client should take to clear their invention, or to establish infringement.
Cintian solves this issue by learning the terminology of your technical field, to provide a more focused search outcome. By processing a written synopsis of the innovation provided by the inventor, time can be spent on more informed, creative and focused work, ensuring that IP protection is directed to the key features of the innovation. The time, effort and professional fees required to review search results as well as the subsequent activities are reduced."
Thanasi Marinides
Founder