Pagentia is an AI patent research platform that searches and analyzes related patents and helps prepare an invention disclosure draft from a technical concept.
What is Pagentia?
Pagentia, also known as Bojian Smart Patent, is an AI platform for patent search, prior-art analysis, and invention disclosure drafting. It helps teams find and compare related patent documents, organize analysis points, and prepare a first draft from a technical concept. This can support early research, project evaluation, and preparation for a patent discussion.
The official site describes Chinese patent coverage, including invention applications, granted inventions, utility models, and designs. It offers semantic and query-based search. The site also states that it connects to more than 170 patent databases and contains over 200 million records. Coverage and counts can change, so check the current site for details.
Main capabilities
- Semantic and query-based search: find related documents from a technical description or use a more specific search expression. The product describes analyzing the technical problem, proposed solution, and effect to help formulate queries.
- Prior-art comparison: review similar or related documents and organize differences across the field, problem, solution, and technical effect.
- Disclosure drafting: use an innovation description and search findings to identify distinguishing features, expand the technical explanation, and prepare an invention disclosure draft. The product also describes framework and process diagrams.
- Patent analysis: compare multiple patent documents and summarize relationships and key points for early competitor, technology trend, and patent landscape research.
How to get started
Visit the official Pagentia site and check the current options. Prepare a clear description of the technical problem, proposed solution, and expected technical effect. Choose the search scope, patent type, and search method, then review the results and underlying documents. If you draft a disclosure, verify each technical statement with the inventors before polishing it.
Use cases and limitations
R&D teams can use the platform to map related work, compare approaches, explore patent landscapes, and prepare disclosure materials. Search coverage, data freshness, terminology, and AI analysis all affect results. Generated content is a research aid: it does not guarantee novelty, a granted patent, or a legal conclusion, and it does not replace professional patent search or counsel. Before submitting unpublished technical material, confirm data retention, access, and confidentiality terms. Verify pricing, registration benefits, and deployment options with the provider.
Frequently asked questions
Which patent types are listed?
The official page lists invention applications, granted inventions, utility models, and designs. Check the product for current scope and availability.
How can I improve search relevance?
Describe the problem, solution, and effect clearly, then refine terms or the query after reviewing results. Check important findings against the original patent documents.
Can I file an AI-generated disclosure as-is?
No. Inventors should verify the technical details and a qualified patent professional should review the draft. AI output is not legal advice and cannot guarantee success.
Frequently asked questions
What does Pagentia do?
Its product page describes semantic and query-based patent search, comparison analysis, and assistance with drafting an invention disclosure from a technical concept and search results.
What information should I prepare for a search?
The product describes a technical problem, proposed solution, and technical effect as useful inputs. Define these points, then choose the search scope, patent type, and search method.
Can an AI search or draft replace patent counsel?
No. Search output and generated drafts do not establish novelty, grant prospects, or infringement. Have a patent professional review the source documents and conclusions.
