Aon Risk Services, Inc. of Maryland

Moat Metrics, Inc.

Verint Americas Inc.

Telect, Inc.

Next It Corporation

Samuel Cameron Fleming

Lewis C Lee

David Craig Andrews

Daniel Crouse

Jared Dirk Sol

Louise Janice Luvina Bowman

John E Bradley, Iii

Timothy Seegan

Scott Buzan

Michael John Tobias

Jeffrey Brendan Ryan

Scott Randolph Brewer

David Christopher Ledgerwood

Jesus Gonzalez

Richard T Weeks

Christopher Ali Mirabzadeh

David Knaggs

Joseph Henderson Ashmore

Samuel John Desmond

Lewis Brendan Lee

Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include various functionalities and/or information associated with the clusters of IP assets. An exposure assessment component may be utilized to assess the level of exposure associated with a targeted entity by analyzing a mapping between IP assets and allocated funds of the targeted entity, generate a score representing the level of exposure, make determinations as to insurance offerings and/or alter rates associated with the insurance offerings.

Intellectual-property landscaping platform with interactive graphical element

Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.

Digital property authentication and management system

Intellectual-property landscaping platform

Systems and methods for generation and use of vendor management platform architectures are disclosed. A compliance component may be utilized to receive user input data indicating supply contracts between a client and a vendor. The user input data may be utilized to determine insurable obligations associated with the supply contract and provide indications as to whether or not the vendor is compliant with the insurable obligation required by the supply contract. An exposure assessment component may be utilized to determine an exposure score associated with a client account and/or a vendor account based on various compliance factors, spending amounts, and/or properties associated with at least one of goods and/or services that a vendor will supply to a client.

Vendor management platform

Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.

Analysis of intellectual-property data in relation to products and services

Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.

Document analysis architecture

Growing community of inventors

Spokane, WA, United States of America

Samuel Cameron Fleming