IP Asset Valuation in Technology Licensing

Analyzing intellectual property (IP) portfolios of entities to provide insights and visualizations. The method involves associating financial metrics with IP assets, identifying similar IP assets based on technology areas, determining average financial metrics for similar IP assets, and generating visual representations of those metrics. This allows efficient comparison of financial performance of IP assets and entities without manually reviewing large numbers of documents.

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Digital asset valuation system that more accurately assesses the value of digital assets by considering multiple factors beyond just price. The system acquires digital asset data, determines weights for factors like usage, adoption, technology, and market conditions, builds a multi-factor model using these weights, and uses it to calculate more realistic asset values. The system aims to provide a more comprehensive and less manipulable valuation compared to models solely based on price.

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Quantifying the value of a patent using a multiple regression model to build a reliable patent valuation model that reflects structural characteristics of specifications and accurately values patents. The regression model is built by processing patent information and performing multiple regression analyses with key valuation elements as dependent variables. The representative regression coefficients for each independent variable across the analyses are used to generate valuation models for each valuation index.

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Evaluating the value of intellectual property, such as patents, using an index based on relative document strength rather than absolute values. The method involves acquiring a group of documents related to a patent, evaluating each document's value based on parameters and patenting weights, and using those values as an index of the patent's relative strength within the document group.

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A decentralized blockchain-based platform to register, transfer, license, apply for, and value IP assets, such as patents, using smart contracts. The blockchain provides transparency and security while the smart contracts automate processes like patent transfers.

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Collateralizing intellectual property (IP) assets like patents and trademarks for loans and insurance. It involves using model-based analysis to accurately value and assess risk of IP collateral. This enables lenders, insurers, and rating agencies to more confidently collateralize IP loans and insure against IP default. The models analyze factors like patent strength, infringement potential, litigation history, and market demand to provide quantitative assessments of IP value and risk.

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Method for evaluating the transaction value of data assets to quantify and measure the value of intangible data assets for better pricing and monetization in data asset transactions. The method involves building a data asset transaction value evaluation model that assesses the cost of obtaining the data assets and their application value. This model allows more accurate estimation of the transaction value of data assets by quantifying their application worth in specific contexts.

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A blockchain-based crowdfunding platform that connects inventors with investors to enable industrializing patents and technologies. The platform issues value coins based on patent valuation and funding amounts. Investors can fund patents using electronic coins, with successful commercialization yielding returns in electronic and value coins.

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Semi-automated valuation of patents using machine learning that leverages a database of information layers like megatrends, market indicators, financing figures, etc to provide a more holistic and dynamic valuation of patents. The system builds a machine learning model comparing patent info to refine valuations with user input and forecast changes as relevant information layers change over time.

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A patent search and analysis tool that provides a quality score for evaluating patents. The tool uses AI, machine learning, and data mining to analyze multiple factors correlated with patent value. This includes the patent's citation network and the value assigned to it by the patent owner. By performing a random walk on this weighted network, the tool calculates a "Qscore" to rank the commercial potential of patents.

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A user-centric system to carry out the valuation and transaction of patents. The system uses a standardized set of parameters to provide an objective and representative valuation of patents. The parameters include applicant and inventor experience, technology applicability, risk factors, and a dynamic database that allows rapid updating of patent values.

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Analyzing intangible assets like intellectual property to provide meaningful information for organizations. The analysis involves qualitative and quantitative techniques using frameworks. Qualitative analysis examines factors like coverage, opportunity, and risk. Quantitative analysis determines monetary values. The frameworks have components like strength of claims, breadth, replacement cost, market value, and revenue. The analysis is customized for different types of intangibles like patents and trade secrets.

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A method and system for determining the value of an enterprise or intangible assets using risk rating. The method involves assessing the risk rating of the subject matter based on financial data. Multiple valuation formulas are then applied to the financial data to calculate multiple estimates. The estimates are sorted based on numerical value and selected proportions are determined using the risk rating. The selected estimates are then further screened based on market characteristics to determine the final value.

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A combined patent debt and equity financing system that allows investors to invest in patents through loans or equity, and provides tools to analyze and manage patent investments. The system allows the pooling of patents across multiple owners to create diversified portfolios. It also involves a fantasy draft-like game where users can pick patents they think will perform well. The system provides analysis and tracking of patent performance to inform investment decisions.

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Creating, processing, tracking, updating, and quantifying a new data record associated with inventorship value. The new data record may be based on an incentive to create inventorship value for inventors where inventors assign their rights under US or international patents, contracts, or other laws to their employers. This is generally true in the US with US companies holding the majority of US patents today. In the US, statutory and contract law (such as the Uniform Commercial Code (the UCC) or state laws, generally govern rights and obligations regarding patents, including between inventor(s) and other stakeholders (such as entities which employ the inventor and to whom the inventor is obligated to assign the patent). Laws and precedents under international jurisdictions can be evaluated for their respective approaches. As a result, under standard agreements, such as employment agreements, work-for-hire terms, assignment agreements, or provisions, inventors relinquish ownership of the patents and with it, at least a portion or all of, the financial value associated with the patent asset.

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Evaluation of the exclusive power of a patent by quantifying the extent to which the patent obstructs third-party businesses. The calculation apparatus extracts legal procedure data from patent histories to determine how obstructive the patent was to third parties and then calculates a post-obsolescence cost based on the filing date. The total post-obsolescence costs across all extracted patents provide an evaluation of patent power.

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A decentralized network using blockchain to provide a transparent and efficient platform for managing intellectual property rights. It leverages blockchain's features like smart contracts, secure decentralized storage, and transparent transactions to improve the patent ecosystem with features like simplified patent registration, transparent ownership, valuation tools, automated examination, and streamlined licensing and transfer processes.

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Decentralized method and system for independently valuing intellectual property rights using a blockchain network and AI. The system collects historical transaction data for similar IP assets, extracts parameters like remuneration, development speed, enforceability, etc, and uses AI to analyze and predict IP valuations. Smart contracts on the blockchain enable secure, decentralized IP transfers and royalty payments. The system aims to provide a more accurate, transparent, and efficient way to value and monetize intangible assets compared to traditional methods.

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Method for accurately determining the monetary value of a patent based on factors like forward and backward patent citations, legal status, patent family, and commercial data of the patent holder. This provides a comprehensive evaluation that considers technical, legal, and market aspects. The method involves obtaining patent information, commercial data of the patent holder, and technology market details. It then evaluates the patent's value based on factors like citations, status, and breadth. The evaluation can be done using a computer program that analyzes the data.

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Identifying a value gap in a patent portfolio strategy of an organization to measure the misalignment between the organization's patent strategy and the universal market focus and quantify the business impact. The method involves comparing the organization's internal ranking of focus areas with a universal ranking based on factors like market size, potential, and trends. The difference between the rankings represents the value gap score, indicating the penalty for misaligned strategy.

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