AI IP Search Platform for Faster Technology Licensing
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Solution Overview
Problem
Existing systems fail to effectively utilize and facilitate the transfer or licensing of intellectual properties (IPs) for research, development, or production, requiring professional assistance and incurring significant time and cost.
Innovation Solution
A computer device and method for searching target IPs using an artificial intelligence model, enabling efficient identification and transaction of IPs through a platform that includes packaging and trading of relevant IP information, with features like blockchain integration and mediator recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing systems are used to search and license IPs, then professional assistance is required, but this increases time and cost
Solution Approach 1:
The patent replaces manual professional assistance with an artificial intelligence model that automatically searches patent databases, analyzes technical content, and identifies relevant IPs. The AI model processes patent documents, extracts technical features, and matches them with target item requirements, eliminating the need for human professionals to manually review numerous patents and significantly reducing both time and cost while maintaining search accuracy
Solution Approach 2:
The system enables potential licensees to independently search for and license IPs without requiring professional intermediaries. The AI-powered platform provides self-service capabilities where users can input their target item parameters, receive automated IP search results, and complete licensing transactions directly through the platform, making the process accessible and efficient for end users
2Measurement precision
If existing systems are used to search and license IPs, then professional assistance is required, but this increases cost
Solution Approach 1:
The patent replaces expensive manual professional services with an automated AI model that performs patent searches and analysis. The AI system processes patent databases, extracts technical features, and identifies relevant IPs through automated natural language processing and machine learning algorithms, eliminating the need to pay professional search firms or consultants while maintaining high search accuracy
Solution Approach 2:
The system changes the operational parameters of the IP search process by using automated AI processing instead of manual human review. This parameter change from human labor to automated computation dramatically reduces the cost per search while maintaining or improving accuracy through consistent application of search criteria and algorithms across all queries
3Measurement precision
If manual IP search methods are used, then professional assistance is required, but this reduces ease of operation
Solution Approach 1:
The system enables potential licensees to independently search for and license IPs without requiring professional intermediaries. The AI-powered platform provides self-service capabilities where users can input their target item parameters, receive automated IP search results, and complete licensing transactions directly through the platform, making the process accessible and efficient for end users
Solution Approach 2:
The patent introduces an AI-powered digital intermediary platform that mediates between patent holders and potential licensees. This digital intermediary automatically matches supply and demand by analyzing patent content against search criteria, facilitating transactions without human intermediaries while improving accessibility and ease of use for all parties involved
4Quantity of substance
If comprehensive IP search is performed, then more target IPs are found, but search complexity increases
Solution Approach 1:
The patent segments the complex IP search process into distinct modular components: patent database retrieval, technical feature extraction, similarity matching, and result ranking. Each module handles a specific aspect of the search, allowing the system to process large volumes of patents efficiently while maintaining manageability and reducing overall system complexity through functional decomposition
Data Source
AI summary
Proposed is a method for searching target intellectual properties (IPs) for a target item performed by a computer device. The method may include acquiring a query designating the target item; and on the basis of the query. The method may also include searching a plurality of target IPs for a use in at least one selected from the group consisting of research on or the development and production of the target item. Here, the plurality of target IPs may include IPs for at least two elements among elements of the target item and/or IPs for a technology combining the at least two elements for a use in the performance, operation, production, and utilization of the target item.


