Welcome to the Patent Data Revolution

Patent and Licensing Standard

Search and Classification

Powered by Machine Learning

Who We Are

A group of IP professionals, data scientists and software developers working together
to join R&D and patent search with business analytics

What We Do

We research and provide patent and licensing search technology  to enable corporations and inventors to capture and protect the value of innovation

How it Works

Self-learning neural networks understand relationships between patents and non-patent data, providing instant and accurate search results in all languages

Why Change

 Existing patent tools simply enhance outdated search processes, ignoring the potential of technology to support innovation and business analytics

14m active patents worldwide

– a 6.8% increase from 2018-19


Addressing the Challenge

The Patent Haystack

Establishing a correlation between proposed inventions, registered patents, and relevant non-patent sources is a time-consuming, expensive and error-prone process...

Patent searching continues to be a time consuming and expensive process. There are 14 million patents in force and over 3.4 million new global patent applications were registered in 2019 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
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resistance to change

Other sectors have embraced the potential of machine learning and artificial intelligence. The IP search and analytics industry is still catching up...

Patent databases are the world's largest repository of technological information. Without a commercial context, the value of patent data is significantly diminished. Integrating related non-patent data, like licensing standards, provides the necessary context. However the technology used by existing search providers cannot match the concepts held in patent documents to non-patent documents. 

Instead, search providers focus on incremental enhancements to patent search, rather than automating search processes and provide commercial and legal context in multiple languages.

resistance to change
Our solution
  • Accuracy and speed through automation

  • Search Patent and Non-Patent data sets

  • Immediate results, irrespective of language.

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 and licensing standards, Cintian empowers inventors, patent attorneys and R&D departments to make informed strategic decisions that avoid expensive pitfalls and maximise the commercial value of innovation.    Find out more

Our solution

Our Vision

Matthew Read


".. 'I’ve had this amazing idea, but I’m not sure if it’s been done before' is often the reaction of inventors to their latest 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. High quality patent searching is crucial for answering these questions. Given the volume of data and the fact that keyword searching is the only way to navigate these databases, specialist searchers have been employed to carry out the searching to determine their relevance. This is time consuming and expensive so 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 before drafting.

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


"I've had the opportunity to speak to large number of corporations, inventors and law firms, all striving to improve the way we live through innovation. They consistently push boundaries and have high demands of themselves and their partners. In my 12 year career in IP services, I have found that the existing providers are not working with the same ethos. Expectations of these providers to support innovation continues to decline. AI has become nothing but a little understood buzzphrase in IP, hijacked by marketing to sell products that have only the vaguest connection to artificial intelligence.

That future is now. We have gathered some of the most talented data scientists and developers to develop a system that will make the manual searching and cross referencing of patent data with external sources a thing of the past. We can give instant guidance as to whether to proceed with the legal registration of an invention without the need to sift through hundreds of pages of text to establish correlation, identify Standard Essential Patents that could result in licensing costs, and propose standards that an invention could be declared to. We want to raise the bar for patent search and look forward to being challenged by clients to be as innovative as they are!"


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