Welcome to the Patent Monetisation Revolution
Transforming Patent Search and Monetisation Strategies
with Advanced Language Models
How we Help
We assist corporations and inventors in maximizing patent revenue. Our AI Patent Navigator identifies opportunities and obstacles autonomously.
Why Change
Manually processing extensive data is error-prone, slow, and costly. AI swiftly and cost-effectively handles vast data, enabling confident commercial decisions.
How it Works
Self-learning Large Language Models analyze your inventions to detect overlapping concepts published by other corporations.
Who we Are
A collaborative team of IP professionals and developers establishing a direct link between patents and revenue from products, services and licensing standards.
Addressing the Challenge
The Patent Haystack
Despite the increasing volume of patents and new applications, patent searching remains a time-consuming and costly manual process. With over 14 million patents in force and 3.5 million new global applications in 2022 alone, current methods rely heavily on manual processes using keyword and semantic AI tools.
Advancements in machine and deep learning offer rapid and cost-effective IP data analysis. Yet, the sector still faces the challenge of efficiently searching, filtering, and cross-referencing extensive data for valuable insights.
The Patent Haystack
Establishing a link between features in inventions and patents, with the activities of relevant third parties, is a time-consuming, costly, and error-prone process.
resistance to change
Patent databases are the world's largest repository of technological information. These can be used to help provide context to the competitive landscape explaining how a competitor's activities relate to your own innovation.
To perform this analysis manually is prohibitive 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 industry is still catching up.
Our solutioNS
Cintian's solution provides vital insights into the connection between proposed inventions, published patents, and licensing standards. It swiftly identifies risks and commercial opportunities that may have gone unnoticed or taken weeks to research, offering a reliable and cost-effective approach. By analyzing patent language, Cintian enables inventors, patent owners, attorneys, and R&D departments to make informed strategic decisions, mitigating costly pitfalls and maximizing the commercial value of innovation.
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Fast and Affordable Prior Art Searches
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Efficient Portfolio Analysis to Identify Valuable Patents
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Discover Previously Unknown Licensing Targets
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Seamless API Integration with Existing R&D Systems
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