The use of Artificial Intelligence (AI) significantly improves research efficiency. Through semantic analysis and natural language processing, AI can grasp search terms in context. This enables a more intelligent search that not only considers exact terms but also thematically related concepts.
Patent research is a critical part of innovation and development processes for many companies. However, traditional methods such as keyword-based search queries often present challenges. They are time-consuming, yield inaccurate results, and frequently require complex Boolean queries that demand years of experience, technical expertise, and strong search skills from researchers.
Artificial intelligence (AI), machine learning, and generative AI are increasingly driving innovations across various sectors. The field of patent research significantly benefits from these technologies. INTERGATOR Patent Search enables semantic searches that identify similar documents based on text inputs, eliminating the need for users to formulate complex Boolean queries.
