Our approach to patent analysis involves the systematic retrieval and examination of patent documents from large databases, followed by clustering, visualisation, and interpretation of the patent information. By leveraging our competencies in machine learning and natural language processing (NLP), we extract valuable insights from patent data, revealing trends in technological development and cooperation networks.
We automate traditionally laborious tasks, such as patent retrieval, clustering, and text mining, enabling us to efficiently uncover hidden patterns and emerging technologies. Additionally, our visualisation tools further enhance the interpretation of patent data, making it interactively accessible, and actionable for research and development purposes.
