Semantic Patent Search Engine
Patent Research
The Challenge
Traditional patent search relied heavily on exact keyword matching, failing to capture intent or context. Cross-language search capabilities were severely limited, hindering comprehensive discovery across global patent databases.
Navigating millions of patent documents efficiently was difficult, with high risks of missing relevant patents.
Our Approach
Engineered a Semantic Patent Search engine with four core capabilities: contextual understanding processing queries semantically rather than relying on keywords, language independence supporting multilingual searches, scalable search architecture efficiently analyzing millions of documents, and enhanced user interface providing intuitive tools for result refinement.
Results
40%
Increase in search result accuracy
60%
Reduction in patent search time
1st
Place at CLEF IP scientific challenge
75%
Increase in patent discovery efficiency
“Innovandio provided the best retrieval algorithms for Prior Art Search in the Industrial Patent domain, significantly outperforming all participating universities in our competition. Their semantic approach to patent search demonstrated remarkable precision and efficiency.”
Florina Piroi
Senior Scientist at TU Wien, CLEF IP
Technologies Used
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