Innovation Assessment for Patent Development

Intellectual property management platform for universities to improve intellectual property education and value creation. The platform collects real-time data on teacher-student innovation projects, expands keywords, evaluates scalability, and provides guidance. Teachers divide project stages and set standards. It connects to teacher terminals to collect innovation process data, expands keywords, evaluates scalability, and provides guidance. The platform extracts relevant keywords from patents and databases to assess project potential. The goal is to enhance IP understanding, design, and value through data analysis.

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Intellectual property data platform that provides enhanced intellectual property management services by processing, categorizing, and analyzing intellectual property data using natural language processing techniques. The platform collects intellectual property information from sources, preprocesses and analyzes the text, measures similarity, learns categories, and stores labeled data. It then offers services like schedule management, prior art search, and reports using the processed data. The platform customizes patent attorney recommendations and tech trend insights based on user fields.

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An improved computer for technology that calculates and reports on inventions in order to improve the efficiency and effectiveness of technology innovation and protection. The computer uses machine learning and artificial intelligence programs to identify, evaluate, and prioritize inventions across a range of metrics including commercial potential, patentability, integration opportunities, and competitor targeting.

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A big data-based system to manage technology innovation in large enterprises. The system has modules for resource management, project management, declaration management, intellectual property management, data management, and assessment management. It provides a dynamic innovation data center and communication platform to coordinate technological direction, process management, and implementation. The system leverages big data integration to informatize basic management, digitize in-depth management, and intelligentize advanced management of technology innovation.

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A system to objectively evaluate and categorize innovation content to minimize subjectivity and risk in innovation analysis. The system has two subsystems: one to assess the scope of innovation based on geographic novelty levels, and another to categorize based on factors like innovation degree, activity nature, engagement, and barriers.

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Corporate intellectual property management system that helps companies make informed decisions about patent rights by analyzing the value and strategic fit of their intellectual property. The system interconnects a company, research teams, and patent agents to manage IP projects, provide quotations, and conduct patent asset due diligence. It generates services like government project recommendations, agent selection, and IP management based on matching IP project plans and agent experience. Due diligence involves guidelines, map analysis, and prediction to classify IP as keep, license, or discard.

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Method for accurately evaluating the innovation stability of scientific and technological enterprises by leveraging their intellectual property portfolios. The method involves obtaining the intellectual property information associated with the enterprise, determining the total amount of innovation in each cycle based on the number and weight of IP types, and then evaluating the innovation stability based on the staged stability of each IP type. This allows evaluating innovation stability more accurately by directly assessing the enterprise's IP generation over time rather than relying solely on financial data.

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A system for evaluating the feasibility of technology development and idea commercialization. The system involves a multi-stage evaluation process that requests prior patent evaluation, technology feasibility evaluation, project feasibility evaluation, and comprehensive commercialization feasibility evaluation. It allows to evaluate whether commercializing a technology idea is appropriate by requesting expert evaluations at each stage. The evaluations are based on factors like patent analysis, market trends, industry attractiveness, business models, and net present value calculations.

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A system for evaluating the technical value of intellectual property rights that provides a more reliable and objective way to calculate the value of intangible assets like patents. The system uses data from intellectual property and financial statement databases to evaluate factors like technological contribution, business feasibility, and industry discount rates to determine the value of the intellectual property. It involves steps like estimating the industrial importance of the technology, evaluating the degree of technological contribution, calculating discount rates and annual free cash flow, and finally determining the technology value.

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A method for managing intellectual property (IP) rights using enterprise resource planning (ERP) software. The method involves using ERP systems to manage and analyze a company's own technology, decide whether to patent it, estimate the potential value, and determine the patent maintenance period. This allows smaller companies with limited resources to better assess and optimize their IP strategy compared to full patent evaluations.

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A system to facilitate transfer and transformation of scientific and technological achievements that addresses the challenges of matching supply and demand of technology. The system has modules for technology evaluation, demand evaluation, and achievement docking. It aims to improve technology transfer efficiency by assessing the technical merit and demand feasibility of technologies, then matching them. This allows more targeted and successful technology transfers compared to traditional patent-based approaches. The system also provides features like intellectual property stability assessment and pricing models to mitigate risks and trust issues in technology transfers.

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Automated work system for analyzing technology, intellectual property, and corporate management for commercialization of new businesses. The system provides a repeatable and focused method for starting, building, and launching a new company that reduces risk, cost, and time to success. It uses automated data collection and analysis from web crawlers, databases, and enterprise tools to assess market needs, technology viability, innovation potential, and management effectiveness. The system has phases with goals, milestones, and confidence scores to track progress and make recommendations. It generates insights, alerts, and reports for each phase and functionality area. The system also provides automated recommendations for improvement. The goal is to objectively and systematically evaluate and bring technologies to market with lower risk, cost, and time compared to traditional methods.

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System to manage new knowledge generation in a research project and automatically document the process for publication purposes while tracking potential novelty. The system involves structured ideation steps for research proposal planning, critical literature review, theoretical synthesis, and abstract creation. It also assesses potential novelty at each stage. The system captures user decisions from tangible sources like articles, allowing quick reference without re-reading. This expedited referral process saves time compared to directly accessing articles. The system's embedded assessment method forecasts potential intellectual property from the research.

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A platform for innovation management and idea evaluation that enables sharing, development, and sponsorship of innovation ideas within and between companies. The platform allows employees to submit and view innovation ideas, provide comments and evaluations, and find sponsors for their ideas. It also provides tools for defining problems, identifying necessary actions, and evaluating ideas using various models.

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A system for managing intellectual property (IP) incubation, formation, and evolution in scientific research projects. The system aims to better manage IP in research projects, especially major national projects, to facilitate commercialization and strategic importance. It has three modules: incubation during project approval to identify potential IP, formation during acceptance to develop stable IP systems, and evolution after acceptance for IP commercialization and monitoring. The modules involve steps like IP project evaluation, achievement management, thematic database, and IP analysis/protection.

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Enterprise patent full life cycle management system that enables effective management of patents from ideation to commercialization. The system has modules for evaluating technological innovation, approving patent applications, obtaining market information, and monitoring patent implementation to maximize patent value. This comprehensive approach helps enterprises generate high-quality patents, secure strong protection, commercialize patents, and optimize patent management throughout the lifecycle.

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Analyzing intangible assets like intellectual property using a framework to provide meaningful information to organizations. The framework involves qualitative and quantitative analysis of intangible assets like patents to determine metrics like coverage, opportunity, and risk. It involves identifying factors like claim strength, market size, and litigation probability. This allows assessing the overall value of intangible assets beyond just monetary worth.

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An intellectual property value evaluation method that accurately reflects the true value of intellectual property assets by categorizing and adding the costs of technical and identification intellectual property rights based on technical and management elements. It calculates the contribution of technology and identification IP to corporate profit, then adds the total cost of both types to get the IP asset value. This considers the future market revenue and encourages independent innovation. The method involves categorizing technical IP costs, adding them, categorizing identification IP costs, adding them, calculating IP contribution to profit, and combining totals.

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System for managing intellectual property (IP) rights and agreements within an organization. The system provides a user interface for capturing IP ideas and agreements, analyzes them for issues, and helps users manage IP assets. It has modules for ideation, transaction analysis, and ideation document review. The ideation module identifies key IP words from user-added terms. The transaction analysis module flags risks like missing terms or changes. The review module flags defects. The system stores inputs, root words, and key words in a database.

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Automating the generation of trademark suggestions and evaluating their clearance likelihood to reduce the time and complexity of trademark searches. The method involves allowing users to specify criteria like concept, sentiment, alphabets, industry, etc. that the desired trademark should have. The system then searches databases, applies combination rules, and ranks the results based on proximity to the criteria and clearance likelihood. The ranked suggestions are provided to the user who can refine the search iteratively.

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