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États‑Unis d’Amérique

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Type PI
        Brevet 123
        Marque 25
Juridiction
        États-Unis 111
        International 32
        Canada 4
        Europe 1
Date
2026 juillet 1
2026 juin 1
2026 mai 1
2026 (AACJ) 11
2025 25
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Classe IPC
G06N 20/00 - Apprentissage automatique 22
G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations 9
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives 9
G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données 8
G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page 8
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Classe NICE
35 - Publicité; Affaires commerciales 14
42 - Services scientifiques, technologiques et industriels, recherche et conception 13
36 - Services financiers, assurances et affaires immobilières 5
41 - Éducation, divertissements, activités sportives et culturelles 5
09 - Appareils et instruments scientifiques et électriques 4
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Statut
En Instance 45
Enregistré / En vigueur 103
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1.

KACEY

      
Numéro de série 99919424
Statut En instance
Date de dépôt 2026-07-02
Propriétaire KPMG LLP (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing online non-downloadable software in the nature of artificial intelligence enabled technology applications for managing risks, learning interactions, reporting, and managing contracts; providing online non-downloadable software in the nature of artificial intelligence enabled technology applications to provide intelligence, insights and automation to enhance third party security program in the field of cyber security risks; providing online non-downloadable software in the nature of artificial intelligence enabled technology applications to identify third-party intelligence, provide risk assessment, provide data automation, provide contract management, provide vendor tiering, and provide efficiency analysis; software as a service (SAAS) services featuring software using artificial intelligence to identify, evaluate, mitigate, respond, assess, recommend, integrate and communicate cyber security risks and perform third-party management; providing online non-downloadable software using artificial intelligence for cyber security risk management, performance and analysis; providing online non-downloadable software using artificial intelligence for the purpose of the evaluation and management of cyber security risks and performing cyber security assessment and management services; consulting services in the field of artificial intelligence technology relating to cyber security risks and third party management

2.

SYSTEM AND METHOD FOR GENERATIVE AI CODE MODERNIZATION AND INTEGRATION

      
Numéro d'application 19179597
Statut En instance
Date de dépôt 2025-04-15
Date de la première publication 2026-06-11
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gunarathne, Thilina
  • Hailegiorgis, Dan
  • Martelli, Kevin
  • Panneck, Christopher
  • Pathirage, Milinda
  • Riwaria, Ashok

Abrégé

The invention relates to computer-implemented systems and methods for implementing Generative AI code modernization and integration. An embodiment of the present invention is directed to a code modernization tool or platform that efficiently modernize code to meet various business and technology objectives. An embodiment of the present invention is directed to assisting organizations modernize from legacy code and technologies to modern, maintainable code through Generative AI.

Classes IPC  ?

  • G06F 9/54 - Communication interprogramme
  • G06F 11/3604 - Analyse de logiciel pour vérifier les propriétés des programmes

3.

SYSTEM AND METHOD FOR IMPLEMENTING AN END-TO-END GENERATIVE AI WORKFORCE TRANSFORMATION PLATFORM

      
Numéro d'application 19396990
Statut En instance
Date de dépôt 2025-11-21
Date de la première publication 2026-05-21
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Puvvada, Anu
  • Doel, John
  • Tompary, Jonathan
  • Urban, Andrew

Abrégé

The invention relates to computer-implemented systems and methods for providing an end-to-end GenAI workforce transformation platform. An embodiment of the present invention provides an AI guide through an adoption experience for employers and employees to make an impact on new ways of working that change how employers deliver new value while creating a way for employees to own and be valued for their own career. For employers, the innovative platform surfaces the gaps to adoption for employees, helps discover new automation and augmentation opportunities, and puts a strategic plan in place to upskill and reskill today's workforce for an AI-enabled future. The platform empowers employees with ownership of their future, provides a career coach that aligns with their core motivations, facilitates secure, shareable proof of their competencies for career advancement, and provides a strategic blueprint to adopt AI in their roles.

Classes IPC  ?

  • G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
  • G06Q 50/20 - Éducation

4.

SYSTEM AND METHOD FOR IMPLEMENTING AN ANALYTICS TOOL FOR PURCHASE PRICE ALLOCATION BENCHMARKING

      
Numéro d'application 19313114
Statut En instance
Date de dépôt 2025-08-28
Date de la première publication 2026-03-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Zhao, Alan
  • Elluri, Sai
  • Goodman, Andrew
  • Kapadia, Dhaval

Abrégé

The invention relates to computer-implemented systems and methods for implementing an Intangibles Analytics Tool that may be used to benchmark purchase price allocation (PPA) data from public filings. The Intangibles Analytics Tool may include the ability to: (i) automatically retrieve acquisition disclosure information and provide initial PPA mapping, replacing the need to perform these steps manually and (ii) serve as a database of verified public PPA data that may be leveraged across offices, applications, industries, etc. With the Intangibles Analytics Tool, users may perform transaction searches and automatically retrieve filings associated with the buyers of those transactions.

Classes IPC  ?

  • G06Q 40/04 - TransactionsOpérations boursières, p. ex. actions, marchandises, produits dérivés ou change de devises

5.

SYSTEM AND METHOD FOR IMPLEMENTING AN ANALYTICS TOOL FOR PURCHASE PRICE ALLOCATION BENCHMARKING

      
Numéro d'application US2025043966
Numéro de publication 2026/050515
Statut Délivré - en vigueur
Date de dépôt 2025-08-28
Date de publication 2026-03-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Zhao, Alan
  • Elluri, Sai
  • Goodman, Andrew
  • Kapadia, Dhaval

Abrégé

The invention relates to computer-implemented systems and methods for implementing an Intangibles Analytics Tool that may be used to benchmark purchase price allocation (PPA) data from public fdings. The Intangibles Analytics Tool may include the ability to: (i) automatically retrieve acquisition disclosure information and provide initial PPA mapping, replacing the need to perform these steps manually and (ii) serve as a database of verified public PPA data that may be leveraged across offices, applications, industries, etc. With the Intangibles Analytics Tool, users may perform transaction searches and automatically retrieve filings associated with the buyers of those transactions.

Classes IPC  ?

  • G06F 16/93 - Systèmes de gestion de documents
  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu
  • G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
  • G06N 5/02 - Représentation de la connaissanceReprésentation symbolique

6.

Electronic device display screen with a graphical user interface

      
Numéro d'application 29778493
Numéro de brevet D1115792
Statut Délivré - en vigueur
Date de dépôt 2021-04-13
Date de la première publication 2026-03-03
Date d'octroi 2026-03-03
Propriétaire KPMG LLP (USA)
Inventeur(s) Ono, Kenjiro James

7.

SYSTEM AND METHOD FOR EVALUATING ARTIFICIAL INTELLIGENCE AGENTS DEPLOYED IN AN ENTERPRISE COMPUTING ENVIRONMENT

      
Numéro d'application 19349743
Statut En instance
Date de dépôt 2025-10-03
Date de la première publication 2026-01-29
Propriétaire KPMG LLP (USA)
Inventeur(s) Chandrasekaran, Swaminathan

Abrégé

A computer-implemented system and method for evaluating an AI agent associated with an enterprise computing environment by aggregating a plurality of AI agents associated with the enterprise computing environment, and evaluating, with an agent evaluation unit, a selected AI agent of the plurality of AI agents using evaluation data, wherein the evaluation data includes operational behavior data and trustworthiness data. The agent evaluation unit can be configured to determine a total agent evaluation score for the selected AI agent from a plurality of category specific evaluation scores. The agent specific categories can have associated therewith a category evaluation score and the agent specific categories can include categories associated with the operational behavior and the trustworthiness of the selected AI agent. An AI-based intervention can be applied in response to the total agent evaluation score.

Classes IPC  ?

  • G06N 3/004 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie

8.

SYSTEM AND METHOD FOR DEPLOYING AND CONTROLLING ARTIFICIAL INTELLIGENCE AGENTS

      
Numéro d'application 19281252
Statut En instance
Date de dépôt 2025-07-25
Date de la première publication 2026-01-29
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Jenkins, Bradley
  • Luckey, Ginger

Abrégé

An agent deployment system for adaptively managing artificial intelligence agents within an enterprise computing environment. The system can include an agent subsystem having a control agent configured to receive source data from one or more data sources of the enterprise, continuously monitor the source data for an occurrence of a trigger event indicative of a condition requiring an AI based intervention, detect the trigger event, evaluate the trigger event to identify a relevant operational context, and then based on the trigger event and the operational context, select and deploy the plurality of AI agents from a total set of AI agents to address the trigger event by performing an AI-based intervention.

Classes IPC  ?

  • G06N 3/0985 - Optimisation d’hyperparamètresMeta-apprentissageApprendre à apprendre
  • G06N 3/092 - Apprentissage par renforcement

9.

SYSTEM AND METHOD FOR DEPLOYING AND CONTROLLING ARTIFICIAL INTELLIGENCE AGENTS

      
Numéro d'application US2025039231
Numéro de publication 2026/025018
Statut Délivré - en vigueur
Date de dépôt 2025-07-25
Date de publication 2026-01-29
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Jenkins, Bradley
  • Luckey, Ginger

Abrégé

An agent deployment system for adaptively managing artificial intelligence agents within an enterprise computing environment. The system can include an agent subsystem having a control agent configured to receive source data from one or more data sources of the enterprise, continuously monitor the source data for an occurrence of a trigger event indicative of a condition requiring an Al based intervention, detect the trigger event, evaluate the trigger event to identify a relevant operational context, and then based on the trigger event and the operational context, select and deploy the plurality of Al agents from a total set of Al agents to address the trigger event by performing an Al-based intervention.

Classes IPC  ?

  • G06N 5/043 - Systèmes experts distribuésTableaux noirs
  • G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
  • G06N 3/0895 - Apprentissage faiblement supervisé, p. ex. apprentissage semi-supervisé ou auto-supervisé
  • G06Q 10/067 - Modélisation d’entreprise ou d’organisation

10.

System and method for dynamic multi-party verification of generative artificial intelligence systems

      
Numéro d'application 19270726
Numéro de brevet 12587543
Statut Délivré - en vigueur
Date de dépôt 2025-07-16
Date de la première publication 2026-01-22
Date d'octroi 2026-03-24
Propriétaire KPMG LLP (USA)
Inventeur(s) Chandrasekaran, Swaminathan

Abrégé

A model verification system and associated method for employing a multi-party verification technique to verify machine learning models and generative AI systems. The models and associated systems can be deployed in an enterprise and require verification to ensure that cohorts are properly verifying the models and systems and evaluation to ensure that the models and systems operate responsibly and achieve intended outcomes. A dynamic, multi-stakeholder blinded verification process can be employed for the continuous verification and evaluation of machine learning models and the systems that use them. This helps promote unbiased, reproducible verification, evaluation and assessments by preventing potential biases from cohorts form part of the verification process.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité

11.

SYSTEM AND METHOD FOR DYNAMIC MULTI-PARTY VERIFICATION OF GENERATIVE ARITIFICIAL INTELLIGENCE SYSTEMS

      
Numéro d'application US2025037895
Numéro de publication 2026/019909
Statut Délivré - en vigueur
Date de dépôt 2025-07-16
Date de publication 2026-01-22
Propriétaire KPMG LLP (USA)
Inventeur(s) Chandrasekaran, Swaminathan

Abrégé

A model verification system and associated method for employing a multi-party verification technique to verify machine learning models and generative Al systems. The models and associated systems can be deployed in an enterprise and require verification to ensure that cohorts are properly verifying the models and systems and evaluation to ensure that the models and systems operate responsibly and achieve intended outcomes. A dynamic, multi-stakeholder blinded verification process can be employed for the continuous verification and evaluation of machine learning models and the systems that use them. This helps promote unbiased, reproducible verification, evaluation and assessments by preventing potential biases from cohorts form part of the verification process.

Classes IPC  ?

  • G06F 40/20 - Analyse du langage naturel
  • G06N 20/00 - Apprentissage automatique
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité

12.

Display screen or portion thereof with graphical user interface

      
Numéro d'application 29859860
Numéro de brevet D1099952
Statut Délivré - en vigueur
Date de dépôt 2022-11-14
Date de la première publication 2025-10-28
Date d'octroi 2025-10-28
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Bradley, Jonathan
  • Northern, Ben
  • Saravia, Sergio

13.

SYSTEM AND METHOD FOR GENERATIVE AI CODE MODERNIZATION AND INTEGRATION

      
Numéro d'application US2025024741
Numéro de publication 2025/221767
Statut Délivré - en vigueur
Date de dépôt 2025-04-15
Date de publication 2025-10-23
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gunarathne, Thilina
  • Hailegiorgis, Dan
  • Martelli, Kevin
  • Panneck, Christopher
  • Pathirage, Milinda
  • Riwaria, Ashok

Abrégé

The invention relates to computer-implemented systems and methods for implementing Generative Al code modernization and integration. An embodiment of the present invention is directed to a code modernization tool or platform that efficiently modernize code to meet various business and technology objectives. An embodiment of the present invention is directed to assisting organizations modernize from legacy code and technologies to modem, maintainable code through Generative Al.

Classes IPC  ?

  • G06F 8/76 - Adaptation d’un code de programme pour fonctionner dans un environnement différentPortage
  • G06F 8/30 - Création ou génération de code source
  • G06F 8/33 - Éditeurs intelligents
  • G06F 8/35 - Création ou génération de code source fondée sur un modèle
  • G06F 8/51 - Source à source
  • G06F 8/71 - Gestion de versions Gestion de configuration
  • G06F 40/20 - Analyse du langage naturel
  • G06F 5/00 - Procédés ou dispositions pour la conversion de données, sans modification de l'ordre ou du contenu des données maniées

14.

GROWTHEDGE

      
Numéro de série 99425635
Statut En instance
Date de dépôt 2025-10-02
Propriétaire KPMG LLP (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing online non-downloadable software for streamlining data integration, data cleaning, automating calculation and presentation of key performance indicators in the field of finance and business; providing an online non-downloadable computer software platform for use in aggregating, processing, and analyzing business data to generate financial and operational metrics; providing online non-downloadable software for accounting, financial and business auditing, tax compliance management, tax reporting, tax analytics, financial analysis, business data analytics, and data processing; providing online non-downloadable software for analyzing and compiling business data and diagnostics; software as a service (SAAS) services featuring software for anomaly detection and predictive analytics in business data

15.

PASCAIL

      
Numéro de série 99425362
Statut En instance
Date de dépôt 2025-10-02
Propriétaire KPMG LLP (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing online non-downloadable software for financial analysis, data integration, KPI automation, data and operational analytics, business and financial reporting, management of accounting, budgeting, invoicing, and expense tracking; providing online non-downloadable software for data management and workflow automation in the field of financial technology solutions; providing online non-downloadable software for accounting, financial and business auditing, tax compliance management, tax reporting, tax analytics, finance and finance technology, namely, financial forecasting, financial data integration, automated financial transaction processing and financial data management, financial analytics, and data processing in the field of business advisory and management consulting services; providing online non-downloadable software for analyzing and compiling business data and diagnostics; providing an online non-downloadable computer software platform for financial anomaly detection, financial performance forecasting, and automated financial reporting in the field of business and financial advisory and management consulting services

16.

NSCO

      
Numéro de série 99370563
Statut En instance
Date de dépôt 2025-09-02
Propriétaire KPMG LLP (USA)
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Business advisory services; Business management consulting, strategic planning and business advisory services provided to supply chain and operations organizations; business research and strategy; providing information on business trends, and compliance risk management; and business risk management. Technology consultation in the field of artificial intelligence (AI); Software as a service (SAAS) services featuring software using artificial intelligence (AI) for businesses to streamline processes, enhance decision-making, and manage data.

17.

SYSTEM AND METHOD FOR IMPLEMENTING APPLICATION MODERNIZATION AND MIGRATION

      
Numéro d'application 19052630
Statut En instance
Date de dépôt 2025-02-13
Date de la première publication 2025-08-14
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gunarathne, Thilina
  • Domaratzky, Daniel
  • Kringen, Erik
  • Martelli, Kevin
  • Pathirage, Milinda

Abrégé

The invention relates to computer-implemented systems and methods for implementing an application modernization and migration tool. The invention provides: initiating a discovery of current system specifics, wherein the discovery comprises business analysis and technical analysis; based on the discovery, developing a modernization plan that prioritizes and optimizes application and system migration, wherein the modernization plan considers risk analysis and cost estimation; designing a pathway and an architecture for the modernization plan; executing the pathway and implementing the architecture to initiate a modernize and migrate process for a target system wherein the modernize and migrate process comprises one or more of: infrastructure build, data migration, rebuild, rehost, re-platform, refactor and integrations, testing and delivery; and making available operation of the modernized and migrated target system.

Classes IPC  ?

  • G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
  • G06Q 10/0633 - Analyse du flux de travail
  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations

18.

YOU CAN WITH AI

      
Numéro de série 99327401
Statut En instance
Date de dépôt 2025-08-08
Propriétaire KPMG LLP (USA)
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 36 - Services financiers, assurances et affaires immobilières
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Accountancy and consultancy services relating thereto; business management assistance and advice; business advisory services relating to financial affairs; tax preparation and consultancy services; business management; providing online information in the field of business management and business administration; business strategy development services; business consulting services relating to designing, building, deploying, monitoring, evaluating, modeling, and providing technology based solutions for the purpose of helping business management; business consulting relating to strategy and development, and data enablement; providing business consulting and advisory relating to data integrity, cyber security, data privacy and energy sustainability; business planning services in the field of data privacy, information security, cybersecurity, data governance, data protection and information risk management; Advertising, promotion and marketing services in the field of risk; marketing consulting, namely, development of marketing campaigns in the field of risk and regulation-related services and solutions for others; business risk management and related consultation services; business risk assessment services; business management services; Business consulting and advisory services in the field of business management, in the field of business acquisition and business merger; business data analytics services, in particular analyzing and compiling business data and business diagnostics data; business services, namely, conducting research, interviews, business research using focus groups, surveys, and intake of information for business analysis and advisory; vendor-on-premise services, namely conducting interviews for the purposes of business analysis and business diagnostics; business acquisition and merger consultation services; Accountancy; payroll processing and management of payroll payments and records; business management of tax records, tax files and tax filings with government agencies; business management, namely compilation and organization of tax records; business consultation services, namely managing and administering non-core functions, namely provision of payroll administration and tax information; business administration services, namely payroll and tax advice; payroll and tax consultancy; payroll preparation and tax assessment consultancy; Computerised payroll preparation and tax assessments; payroll preparation and tax planning; payroll processing services and tax preparation; payroll and tax assessment preparation Financial services, namely, consultancy and advisory services in the field of tax, insurance and finance; corporate finance services, namely, advising on financial affairs, financial evaluation and financial consultancy; financial risk management; fiscal assessment services to businesses and individuals; monetary affairs, namely, financial information, management and analysis services; insurance consulting services; providing financial information in the field of finance, finance technology and insurance; financial risk assessment services; investment risk assessment and investment management services; Financial services, namely, tax payment processing services, tax payment management; provision of financial information in the fields of payroll and tax management; tax payment processing services; none of the aforesaid services being supplied by ATM or EFTOS (electronic funds transfer at point of sale) terminals Cybersecurity technology consulting and advisory services relating to cybersecurity assessment, and advisory services regarding documentation of cybersecurity policies and procedures; technology consultation services in the field of cyber risk assessment services with regard to computer security; technology consultation in the field of cyber security and cyber risk assessment; Consultancy in the field of information technology and computer technology; computer technology consultancy; technology consultation in the field of computer science; technological computer software consultancy; technological consulting services in the field of office and workplace automation; technology consultation in the field of artificial intelligence; research services, namely, advanced product research in the field of artificial intelligence

19.

YOU CAN WITH AI

      
Numéro de série 99327411
Statut En instance
Date de dépôt 2025-08-08
Propriétaire KPMG LLP (USA)
Classes de Nice  ? 09 - Appareils et instruments scientifiques et électriques

Produits et services

Downloadable computer software for use in payroll and tax management, payment and processing; computer software downloadable from the Internet for use in payroll and tax management, payment and processing; Downloadable computer software for use in accounting management, accounting integration in the nature of incorporating comprehensive information about the profit or loss of an entire organization into accounting software, managing customer tax accounts, processing electronic payments, budget control, conducting business accounting audits, creating business accounting audit trails, creating business accounting auditing transaction histories, tracking communications between clients regarding business audits and managing workflows of business accounting audits, managing customer relationship data, predicting financial and operational outcomes for businesses, and tracking corporate performance; Downloadable computer software for tracking, organizing, centralizing and reporting data related to corporate growth strategy, business innovation and growth processes, business consultancy, business operations, organizational transformation, business strategy development, business management, business planning, investment advice, financial management, talent management and talent development strategies, philanthropy, and business compliance and risk management; pre-recorded optical tapes and discs featuring recorded computer programs for use in accounting management, accounting integration in the nature of incorporating comprehensive information about the profit or loss of an entire organization into accounting software, managing customer tax accounts, processing electronic payments, budget control, conducting business accounting audits, creating business accounting audit trails, creating business accounting auditing transaction histories, tracking communications between clients regarding business audits and managing workflows of business accounting audits, managing customer relationship data, predicting financial and operational outcomes for businesses, and tracking corporate performance; pre-recorded optical tapes and discs featuring recorded computer programs for tracking, organizing, centralizing and reporting data related to corporate growth strategy, business innovation and growth processes, business consultancy, business operations, organizational transformation, business strategy development, business management, business planning, investment advice, financial management, talent management and talent development strategies, philanthropy, and business compliance and risk management

20.

SYSTEM AND METHOD FOR IMPLEMENTING A GLOBAL WITHHOLDING TAX ENGINE

      
Numéro d'application US2024060677
Numéro de publication 2025/137042
Statut Délivré - en vigueur
Date de dépôt 2024-12-18
Date de publication 2025-06-26
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mcquilkin, Andrew
  • Daftary, Cyrus, E.
  • Demotses, Drew
  • Siddiqui, Sarish
  • Wooten, Kelli

Abrégé

An embodiment of the present invention is directed to an automated Global Withholding Tax Engine that leverages standardized withholding tax rules and requirements across various jurisdictions. The Global Withholding Tax Engine addresses a need for tax automation in the global marketplace. The Global Withholding Tax Engine may be developed as a standalone engine that is system agnostic. It may offer standard APIs that receive as input data elements relevant to determine an applicable withholding rate. Because it utilizes a standard API, the engine may be connected to any system, whether it is an ERP or other payment system. This approach allows the flexibility to meet the needs of any client, and further expand the engine to cover any other type of determination or calculation with defined input/output variables.

Classes IPC  ?

  • G06Q 40/10 - Stratégies fiscales
  • G06N 3/042 - Réseaux neuronaux fondés sur la connaissanceReprésentations logiques de réseaux neuronaux
  • G06N 3/0464 - Réseaux convolutifs [CNN, ConvNet]
  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 20/00 - Apprentissage automatique
  • G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
  • G06Q 40/12 - Comptabilité

21.

SYSTEM AND METHOD FOR IMPLEMENTING A GLOBAL WITHHOLDING TAX ENGINE

      
Numéro d'application 18985329
Statut En instance
Date de dépôt 2024-12-18
Date de la première publication 2025-06-19
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mcquilkin, Andrew
  • Daftary, Cyrus E.
  • Demotses, Drew
  • Siddiqui, Sarish
  • Wooten, Kelli

Abrégé

An embodiment of the present invention is directed to an automated Global Withholding Tax Engine that leverages standardized withholding tax rules and requirements across various jurisdictions. The Global Withholding Tax Engine addresses a need for tax automation in the global marketplace. The Global Withholding Tax Engine may be developed as a standalone engine that is system agnostic. It may offer standard APIs that receive as input data elements relevant to determine an applicable withholding rate. Because it utilizes a standard API, the engine may be connected to any system, whether it is an ERP or other payment system. This approach allows the flexibility to meet the needs of any client, and further expand the engine to cover any other type of determination or calculation with defined input/output variables.

Classes IPC  ?

  • G06Q 40/12 - Comptabilité
  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations

22.

SYSTEM AND METHOD FOR IMPLEMENTING A GENERATIVE AI RAPID ASSESSMENT TOOL

      
Numéro d'application US2024055708
Numéro de publication 2025/106531
Statut Délivré - en vigueur
Date de dépôt 2024-11-13
Date de publication 2025-05-22
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Sehgal, Sanjay
  • Kyaw Soe, Htike, Htike
  • Pacilio, John, A.

Abrégé

An embodiment of the present invention is directed to a Generative Al Rapid Assessment Tool that provides core analytic outcomes relating to value; focus, readiness and urgency. An embodiment of the present invention aims to assess company-specific Gen Al opportunity. This is curated using industry and function-oriented Gen Al use-cases, industry impact expectations, and company-insights, derived by analysis third-party data to calculate potential value. An embodiment of the present invention then narrows the field of opportunity value. Analysis is completed at the function, sub-function and use-case/ activity levels to suggest where there may be the greatest area of opportunity. This helps mitigate the need to focus attention and resources throughout the entire business, and address identified priority areas.

Classes IPC  ?

  • G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
  • G06Q 10/10 - BureautiqueGestion du temps
  • G06Q 30/00 - Commerce

23.

SYSTEM AND METHOD FOR IMPLEMENTING A GENERATIVE AI RAPID ASSESSMENT TOOL

      
Numéro d'application 18946394
Statut En instance
Date de dépôt 2024-11-13
Date de la première publication 2025-05-15
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Sehgal, Sanjay
  • Kyaw Soe, Htike Htike
  • Pacilio, John A.

Abrégé

An embodiment of the present invention is directed to a Generative AI Rapid Assessment Tool that provides core analytic outcomes relating to value; focus, readiness and urgency. An embodiment of the present invention aims to assess company-specific Gen AI opportunity. This is curated using industry and function-oriented Gen AI use-cases, industry impact expectations, and company-insights, derived by analysis third-party data to calculate potential value. An embodiment of the present invention then narrows the field of opportunity value. Analysis is completed at the function, sub-function and use-case/activity levels to suggest where there may be the greatest area of opportunity. This helps mitigate the need to focus attention and resources throughout the entire business, and address identified priority areas.

Classes IPC  ?

  • G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations

24.

Display screen with animated graphical user interface for a project summary dashboard

      
Numéro d'application 29853449
Numéro de brevet D1072842
Statut Délivré - en vigueur
Date de dépôt 2022-09-15
Date de la première publication 2025-04-29
Date d'octroi 2025-04-29
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Cortes, Marcos
  • Kogan, Daniel
  • Paton, Kevin
  • Sharma, Omansh
  • Srivastava, Amol
  • Wilson, Jeffrey W.
  • Wilt, Brooke

25.

SYSTEM AND METHOD FOR IMPLEMENTING AN OPPORTUNITY VALUE TOOL

      
Numéro d'application 18901299
Statut En instance
Date de dépôt 2024-09-30
Date de la première publication 2025-04-03
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Sehgal, Sanjay
  • Auffant, Martin Roldan
  • Kyaw Soe, Htike Htike
  • Muller, Yavin

Abrégé

An embodiment of the present invention is directed to an Opportunity Value Tool that applies a data-driven approach to identify profit and working capital improvement opportunities. For example, the Opportunity Value Tool may identify new client opportunities by enabling more value improvement engagement opportunities from a deal pipeline. The Opportunity Value Tool may further support discovery of companies with improvement opportunities to generate quality leads. In addition, quantifiable improvement opportunities may drive first client conversations through value add insights. Other scenarios, applications and use cases may be realized.

Classes IPC  ?

  • G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché

26.

RISK MANAGED DATA SYSTEM AND ASSOCIATED METHOD

      
Numéro d'application 18901948
Statut En instance
Date de dépôt 2024-09-30
Date de la première publication 2025-04-03
Propriétaire KPMG LLP (USA)
Inventeur(s) Krishna, Sreekar

Abrégé

A system and method for controlling data access by providing a first data isolation layer for isolating a user from a data source subsystem by employing a first machine learning model for processing input query data and raw data and for generating first output model data that includes query instructions and responses to the input query data. A second data isolation layer maps metadata to the query instructions to form mapped query data and converts the mapped query data into software tool specific command data corresponding to a software application by employing a second machine learning model for transforming and adapting the mapped query data into a format compatible with a target software tool. A third data isolation layer can be employed for processing data access guideline data and data access policy data and for generating a set of recommendations for accessing the data.

Classes IPC  ?

  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès

27.

System and method for enriching and normalizing data

      
Numéro d'application 18752109
Numéro de brevet 12585626
Statut Délivré - en vigueur
Date de dépôt 2024-06-24
Date de la première publication 2025-03-20
Date d'octroi 2026-03-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Hanson, Niels
  • Gardner, James Johnson
  • Orpe, Punit S.
  • Du, Wendy
  • Brown, Laurence Anthony
  • Mannige, Ranjan Vivek
  • Green, David
  • Ahn, Michael
  • Zhou, Yang
  • Yuan, Andrew
  • Rosa, Adam Helio
  • Chen, Kyle B.
  • Perusse, Alex
  • Manaog, Christian Alexander
  • Somu, Yeshwanth
  • Cheng, Xin
  • Bearly, Torey C.
  • Saboo, Raghav
  • Pamaraju, Sphoorthy
  • Ernst, Erik
  • Ozuretmen, Can
  • Zhang, Yuan

Abrégé

An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Classes IPC  ?

  • G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
  • G06F 16/23 - Mise à jour
  • G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données

28.

TACO - TASKERS, AUTOMATORS, COLLABORATORS, ORCHESTRATORS

      
Numéro de série 99067878
Statut En instance
Date de dépôt 2025-03-05
Propriétaire KPMG LLP (USA)
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Business management and consultancy services; business research; business strategy development services; business management consulting with relation to business trends; business consultancy relating to regulatory compliance; business risk management Providing technology consulting services in the field of artificial intelligence; Providing computer technology consulting services in the field of machine learning; Providing technology consulting services in the field of artificial intelligence, namely, artificial intelligence for data analytics for businesses and organizations; providing design and development of customized online artificial intelligence software platforms for businesses; providing software as a service (SaaS) services featuring software using artificial intelligence (AI), featuring online non-downloadable software development tools using artificial intelligence (AI), featuring online non-downloadable software platforms using artificial intelligence (AI), and featuring online non-downloadable software applications using artificial intelligence (AI), all for businesses to streamline processes, enhance decision-making, and manage data through machine learning and artificial intelligence (AI); providing online, non-downloadable software using artificial intelligence (AI) for analyzing and compiling business data and providing business diagnostics; providing online, non-downloadable software and applications using artificial intelligence for integrating management functions of a business and for managing support functions of a business; Providing online, non-downloadable application programming interface (API) software using artificial intelligence (AI) for use in business management and consultancy services; conducting research and development in the field of artificial intelligence technology and machine learning

29.

TACO FRAMEWORK

      
Numéro de série 99066303
Statut En instance
Date de dépôt 2025-03-04
Propriétaire KPMG LLP (USA)
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Business management and consultancy services; business research, business strategy, providing information on business trends, business compliance being financial record-keeping reviews, fee and expense reviews, and due diligence for regulatory compliance, business compliance being providing recommendations regarding compliance risk management, and business risk management Providing technology consulting services in the field of artificial intelligence, machine learning, and data analytics for businesses and organizations; providing design and development of customized artificial intelligence platforms for businesses; providing software as a service (SaaS) featuring AI-driven software development tools, platforms, and applications for businesses to streamline processes, enhance decision-making, and manage data through machine learning and artificial intelligence; providing online, non-downloadable software using artificial intelligence (AI) for analyzing and compiling business data and providing business diagnostics in the form of business forecasting reports; providing online, non-downloadable software and applications using artificial intelligence for integrating management functions of a business and for managing support functions of a business; providing online, non-downloadable artificial intelligence software featuring an application programming interface (API) for use in business management and consultancy services; conducting research and development in the field of artificial intelligence technology and machine learning

30.

System and method for implementing and operating an enterprise data asset marketplace with data and analytics product lifecycle management

      
Numéro d'application 18238260
Numéro de brevet 12450656
Statut Délivré - en vigueur
Date de dépôt 2023-08-25
Date de la première publication 2025-02-27
Date d'octroi 2025-10-21
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Parr, Bob
  • Moroney, Robert C.
  • Crane, Gabriel
  • Oleksy, Justin

Abrégé

The invention relates to computer-implemented systems and methods that implements a data asset marketplace and management platform. An embodiment of the present invention is directed to a cloud-based data and analytics (D&A) platform enabling professionals and various users with accelerated access to critical data, D&A tools and workspaces to create and deliver reusable data-driven solutions.

Classes IPC  ?

  • G06Q 40/04 - TransactionsOpérations boursières, p. ex. actions, marchandises, produits dérivés ou change de devises

31.

SYSTEM AND METHOD FOR IMPLEMENTING A RESEARCH AND DEVELOPMENT TAX CREDIT RISK TRACKER TOOL

      
Numéro d'application 18812530
Statut En instance
Date de dépôt 2024-08-22
Date de la première publication 2025-02-27
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wanchoo, Ajay
  • Bocchino, Gregory A.

Abrégé

An embodiment of the present invention is directed to a Research and Development (R&D) Risk Assessment and Optimization Tool that identifies risk tolerance and business component coverage based on changes in various factors including headcount, Qualified Research Expenditures (QRE), project management count, title changes, team changes, etc. The changes may be based on a time period, such as year-to-year changes.

Classes IPC  ?

  • G06Q 40/10 - Stratégies fiscales
  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations

32.

SYSTEM AND METHOD FOR IMPLEMENTING AN ADVISORY ASSISTANT TO A GENERATIVE ARTIFICAL INTELLIGENCE TOOL

      
Numéro de document 03301175
Statut En instance
Date de dépôt 2024-08-08
Date de disponibilité au public 2025-02-13
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mcclung, Joshua
  • Atkins, Ryan
  • Bilal, Mohammad Mirwais
  • Hardy, Bryan
  • Keller, David

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
  • G06F 40/00 - Maniement de données en langage naturel
  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 20/00 - Apprentissage automatique

33.

SYSTEM AND METHOD FOR IMPLEMENTING AN ADVISORY ASSISTANT TO A GENERATIVE ARTIFICAL INTELLIGENCE TOOL

      
Numéro d'application 18798221
Statut En instance
Date de dépôt 2024-08-08
Date de la première publication 2025-02-13
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mcclung, Joshua
  • Atkins, Ryan
  • Bilal, Mohammad Mirwais
  • Hardy, Bryan
  • Keller, David

Abrégé

The invention relates to computer-implemented systems and methods that implement an innovative generative AI service based on proprietary expertise and industry knowledge. The generative AI service provides unique autonomous features, such as combining separate and distinct LLM responses and prompts to create unique results. Other autonomous features may include an ability to handle scaling and auto deployment of models and rerouting requests autonomously to ensure user load is balanced across the entire globally distributed Generative AI infrastructure estate. The generative AI service may further deploy new Production instances of models on demand by predefined system criteria as well as by explicit user request based on projected demand increase and/or the need for specific instance for further model fine-tuning.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
  • G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance

34.

SYSTEM AND METHOD FOR IMPLEMENTING AN ADVISORY ASSISTANT TO A GENERATIVE ARTIFICAL INTELLIGENCE TOOL

      
Numéro d'application US2024041502
Numéro de publication 2025/034984
Statut Délivré - en vigueur
Date de dépôt 2024-08-08
Date de publication 2025-02-13
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mcclung, Joshua
  • Atkins, Ryan
  • Bilal, Mohammad, Mirwais
  • Hardy, Bryan
  • Keller, David

Abrégé

The invention relates to computer-implemented systems and methods that implement an innovative generative Al service based on proprietary expertise and industry knowledge. The generative Al service provides unique autonomous features, such as combining separate and distinct LLM responses and prompts to create unique results. Other autonomous features may include an ability to handle scaling and auto deployment of models and rerouting requests autonomously to ensure user load is balanced across the entire globally distributed Generative Al infrastructure estate. The generative Al service may further deploy new Production instances of models on demand by predefined system criteria as well as by explicit user request based on projected demand increase and/or the need for specific instance for further model fine-tuning.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
  • G06F 40/00 - Maniement de données en langage naturel
  • G06N 3/08 - Méthodes d'apprentissage
  • G06F 9/00 - Dispositions pour la commande par programme, p. ex. unités de commande

35.

SYSTEM AND METHOD FOR IMPLEMENTING AUTOMATED PROCESS AND APPLICATION TRANSFORMATION

      
Numéro d'application 18800789
Statut En instance
Date de dépôt 2024-08-12
Date de la première publication 2025-02-13
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Purcell, Aaron
  • Dua, Amit
  • Tsang, Hoi-Hung

Abrégé

The invention relates to computer-implemented systems and methods for implementing an automated process and application transformation solution. An embodiment of the present invention is directed to accelerating the digital transformation of legacy applications, e.g., moving older applications to new targeted solutions. An embodiment of the present invention is directed to creating a sequential approach to automating these stages using a combination of technologies and Artificial Intelligence (AI) capabilities. These AI capabilities further augment existing resources and enhance experiences.

Classes IPC  ?

  • G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
  • G06F 8/38 - Création ou génération de code source pour la mise en œuvre d'interfaces utilisateur

36.

System and method for implementing a guided collaboration platform for specific domains

      
Numéro d'application 18779969
Numéro de brevet 12566803
Statut Délivré - en vigueur
Date de dépôt 2024-07-22
Date de la première publication 2025-01-23
Date d'octroi 2026-03-03
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gwozdz, Joseph
  • Cerino, Timothy J.
  • Cullen, Carly
  • Scripka, David
  • Wagner-Kaiser, Rachel

Abrégé

The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. An embodiment of the present invention relates to a guided collaboration space for domain experts, data scientists and solution managers to build Artificial Intelligence (AI)/Machine Learning (ML) solutions, deploy solutions at scale as well as manage quality and consistency.

Classes IPC  ?

37.

SYSTEM AND METHOD FOR ASSESSING AND PLANNING A PROJECT

      
Numéro d'application 18736202
Statut En instance
Date de dépôt 2024-06-06
Date de la première publication 2024-12-12
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gilge, Clay
  • Cagney, Colin
  • Max, Kevin
  • Tieh, Lienna
  • Wiegand, Ken

Abrégé

A computer-implemented system for assessing a project comprising a project readiness assessment unit for assessing a project readiness of a project based on project data and for generating a project assessment score. The system can include a project diagnostic assessment unit for receiving project cost data and for determining an accuracy of a cost associated with the project based on the project cost data and for generating a project cost accuracy score. A project schedule assessment unit can be employed for applying one or more schedule analysis and assessment techniques to the project schedule data to assess a quality and an accuracy of a project schedule and for generating a project schedule score. A project risk assessment unit can process project risk data for determining an inherent risk score associated with the project. A project control assessment unit can process project control data for generating a project control score.

Classes IPC  ?

  • G06Q 10/10 - BureautiqueGestion du temps
  • G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations

38.

SYSTEM AND METHOD FOR ASSESSING AND PLANNING A PROJECT

      
Numéro d'application US2024032786
Numéro de publication 2024/254293
Statut Délivré - en vigueur
Date de dépôt 2024-06-06
Date de publication 2024-12-12
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gilge, Clay
  • Cagney, Colin
  • Max, Kevin
  • Tieh, Lienna
  • Wiegand, Ken

Abrégé

A computer-implemented system for assessing a project comprising a project readiness assessment unit for assessing a project readiness of a project based on project data and for generating a project assessment score. The system can include a project diagnostic assessment unit for receiving project cost data and for determining an accuracy of a cost associated with the project based on the project cost data and for generating a project cost accuracy score. A project schedule assessment unit can be employed for applying one or more schedule analysis and assessment techniques to the project schedule data to assess a quality and an accuracy of a project schedule and for generating a project schedule score. A project risk assessment unit can process project risk data for determining an inherent risk score associated with the project. A project control assessment unit can process project control data for generating a project control score.

Classes IPC  ?

  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations
  • G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations

39.

MYSTRO

      
Numéro de série 98882354
Statut En instance
Date de dépôt 2024-12-03
Propriétaire KPMG LLP (USA)
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Business consulting and advisory services leveraging artificial intelligence technologies in the field of business management and efficiencies; data analytics services, in particular analyzing and compiling business data, and providing business diagnostics in the form of business forecasting reports, evaluations, reviews, recommendations and assessments; business management services; business consultation services; business management assistance and advice; providing information in the field of business management and business administration; business strategy development services; business consulting services relating to designing, building, deploying, monitoring, evaluating, modeling, and providing business management solutions; business consulting relating to strategy and development, and data enablement; business analysis services Providing online, non-downloadable software for business services namely, for providing analysis and information regarding business management, trends and administration; providing online, non-downloadable software leveraging artificial intelligence technologies for business, workforce, personnel, and enterprise consulting services; providing online, non-downloadable software for analytics, data processing, business advisory and management consulting services; providing online, non-downloadable software for analyzing and compiling business data, and business diagnostics in the form of business forecasting reports, evaluations, reviews, recommendations and assessments; providing online, non-downloadable software for integrating management functions of a business; providing online, non-downloadable computer software for centralizing operational processes, analyzing customer and vendor data and objectives; providing online, non-downloadable software for risk analysis, compliance and management; providing online, non-downloadable computer software to identify, evaluate, mitigate, respond, assess, recommend, integrate and communicate business risks and third-party management; providing online, non-downloadable software application for business risk assessment and enterprise risk assessment

40.

Automated system and method for analyzing and auditing financial data

      
Numéro d'application 18142774
Numéro de brevet 12620036
Statut Délivré - en vigueur
Date de dépôt 2023-05-03
Date de la première publication 2024-11-07
Date d'octroi 2026-05-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Bandopadhyay, Partho
  • Gwinn, Cameron
  • Dhanwantri, Mayank
  • Krishnan, Gayathri
  • Prashanth, Chatla
  • Kalra, Sahil

Abrégé

A financial report analysis system having an intelligent automation unit for selecting from stored financial data the financial data to be processed and automatically scheduling for processing the selected financial data, a conversion unit for converting the selected financial data stored in a storage unit into a selected processing format to form converted financial data, a financial data processing unit for automatically processing the converted financial data to form processed financial data and for generating marked financial data from the processed financial data that includes one or more markings, and a verification unit for verifying an accuracy of the processed financial data by comparing the processed financial data to other financial data, and then highlighting or marking portions of the processed data if the data is inaccurate.

Classes IPC  ?

41.

AIQ

      
Numéro de série 98832472
Statut En instance
Date de dépôt 2024-11-01
Propriétaire KPMG LLP (USA)
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 36 - Services financiers, assurances et affaires immobilières
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Accounting, tax advisory, tax consulting, tax management, and financial and business auditing services; business management and consultancy services; business advisory and consulting services relating to financial affairs; providing an online computer database in the field of business information; data processing services in the accounting and business operation fields; business research, business strategy, business forecasting; providing information on business trends, business compliance being financial record-keeping for regulatory compliance, and business risk management; providing information in the field of tax, accounting, and business management; providing information in the field of business administration; providing consulting and advisory relating to data integrity, cyber security, data privacy and sustainability; business risk assessment services Financial consulting and information services; financial advice relating to tax; provision of financial information; financial risk assessment services; financial risk management; investment risk assessment and management services; financial advice relating to tax; financial services, namely, consultancy and advisory services relating to financial matters; corporate finance services, namely, advising on financial affairs, financial evaluation and financial consultancy; fiscal assessment; monetary affairs, namely, financial information, management and analysis services; providing information in the field of finance, investments and insurance; providing an online computer database in the field of finance information Providing online, non-downloadable software in the field of financial services, namely, for producing models and reports, and data processing; providing online, non-downloadable software for insurance consulting services; providing online, non-downloadable software on financial affairs, financial evaluation and financial consultancy; providing online, non-downloadable software for accounting, auditing, tax management, data processing, business advisory and management consulting services; providing online, non-downloadable software for analyzing and compiling business data and providing business diagnostics; providing online, non-downloadable software for integrating financial, sales and management functions of a business and for managing customer and vendor relations; providing online, non-downloadable computer software for centralizing business operational processes, analyzing customer and vendor data and objectives; providing online, non-downloadable software in the field of risk analysis, compliance and management; providing online, non-downloadable computer software for identifying, evaluating, mitigating, responding, assessing, and communicating cyber security risks; consulting services in the field of software as a service (SAAS); providing online, non-downloadable software applications in the field of business risk assessment, financial risk assessment, investment risk assessment, cyber security being the restriction of unauthorized access to computer systems and cyber risk assessment; consultancy in the field of computer technology; computer software design and programming services for others; technical consultancy in the field of design, selection, implementation, and use of computer hardware and computer software; providing technology information relating to financial services industry

42.

SYSTEM AND METHOD FOR ENRICHING AND NORMALIZING DATA

      
Numéro d'application 18766437
Statut En instance
Date de dépôt 2024-07-08
Date de la première publication 2024-10-31
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Roberts, Don
  • Brown, Laurence Anthony
  • Nair, Visal

Abrégé

A computer-implemented method for extracting bulk data by generating with a secure agent a transfer request for transfer of the bulk data; generating with a content management unit a bulk data extraction job having a job ID associated therewith in response to the transfer request and then transferring the job ID to the secure agent; generating a programmatic call using the job ID with the secure agent requesting data files including a manifest file; generating with the secure agent a search request for searching the manifest file for selected information; retrieving the manifest file with the content management unit in response to the search request; searching and parsing the manifest file with the content management unit to identify and retrieve the data files corresponding to the job ID; and transferring the data files associated with the job ID with the content management unit to a data extraction unit.

Classes IPC  ?

  • G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
  • G06F 16/23 - Mise à jour
  • G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données

43.

SYSTEM AND METHOD FOR CAPTURING, MANAGING AND ENRICHING PROMPTS IN A DATA PROCESSING ENVIRONMENT

      
Numéro d'application 18616027
Statut En instance
Date de dépôt 2024-03-25
Date de la première publication 2024-09-26
Propriétaire KPMG LLP (USA)
Inventeur(s) Chandrasekaran, Swaminathan

Abrégé

A prompt capture and enrichment system having a prompt capture unit for receiving prompts from different data sources to form input prompts; a prompt enrichment unit for automatically enriching one or more prompt attributes of the input prompts and for generating enriched prompts; a prompt filtering unit for filtering the enriched prompts based on prompt attributes and then generating filtered prompts and for generating a truthfulness score associated with the filtered prompts indicative of a truthfulness of the filtered prompts; a prompt matching unit for matching one of the enriched or filtered prompts with one of the input prompts to determine if a match exists based on user information and prompt attributes; and a storage unit including a blockchain for storing the input prompts, the enriched prompts, and the filtered prompts.

Classes IPC  ?

44.

ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK

      
Numéro d'application 18477817
Statut En instance
Date de dépôt 2023-09-29
Date de la première publication 2024-09-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Yanosy, Jr., John A.
  • Puvvada, Anu
  • Kim, Stephanie
  • Urban, Andrew
  • Sisselman, Michael

Abrégé

A computer-implemented system, a method, and computer products for development and use of a knowledge framework are provided. The system comprises one or more processors and a memory including computer program code. The computer program code is configured to, when executed, cause the one or more processors to perform various tasks. These tasks include receive session data related to responses received from a participant in a session, receive machine learning data, create or enhance the knowledge framework based on the machine learning data and the session data, and create additional machine learning data using the knowledge framework as a source of information. The method performs these tasks, and the computer readable medium contains similar computer program code. The method can perform these tasks with computer synergistic generative artificial intelligence, machine learning, and knowledge framework subsystems.

Classes IPC  ?

  • G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance

45.

UNIVERSAL ASSESSMENT SYSTEM

      
Numéro d'application 18116176
Statut En instance
Date de dépôt 2023-03-01
Date de la première publication 2024-09-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Yanosy, Jr., John A.
  • Puvvada, Anu
  • Kim, Stephanie
  • Urban, Andrew

Abrégé

An assessment theory model is contemplated that provides objective and high-quality assessments for assessment objects provided in some environment context. The assessment theory model provides a semantic and logical knowledge framework that may be used to design any assessment model for any kind of assessment object or environment contexts. The assessment theory model may help identify causal relationships between characteristics of the assessment object and the environment context. The assessment theory model guides the creation and definition of more specific models by helping to define the understanding of what should be considered in an assessment and guides the determination of the scope and focus of questions. The assessment theory model may permit or require provision of evidence and/or rationales in support of answers to promote objectivity and reduce bias. Scoring may be conducted in a manner that reduces bias so that more accurate decisions may be made based on scoring.

Classes IPC  ?

  • G06N 5/046 - Inférence en avantSystèmes de production
  • G06N 5/02 - Représentation de la connaissanceReprésentation symbolique

46.

SYSTEM AND METHOD FOR IMPLEMENTING A DATA ANALYSIS SUBSTANTIVE PROCEDURE FOR REVENUE TRANSACTIONS

      
Numéro d'application 18588541
Statut En instance
Date de dépôt 2024-02-27
Date de la première publication 2024-08-29
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wuerfel, Alissa
  • Besch, Douglas K.
  • Drake-Cavalletti, Heike
  • Harrison, Sydelle
  • Hooper, Keith
  • Hunter, Robert
  • Norris, Angela
  • Patel, Samarth
  • Steward, Roy
  • Zavarella, Anne C.
  • Zipkin, David

Abrégé

The invention relates to computer-implemented systems and methods for implementing a Revenue Data Analysis Tool to perform a data analysis substantive procedure to obtain sufficient and appropriate audit evidence to respond to the risks of material misstatements associated with revenue transactions.

Classes IPC  ?

  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations

47.

SYSTEM AND METHOD FOR IMPLEMENTING A TAX OPPORTUNITY ANALYZER AND DATA PLATFORM

      
Numéro d'application 18111181
Statut En instance
Date de dépôt 2023-02-17
Date de la première publication 2024-08-22
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Trauman, Brian
  • Asbury, Madison Gabrielle
  • Brown, Brad L.
  • Franklin, Michael K.
  • Utke, Joseph Edward
  • Varia, Tejas Nitin
  • Veranth, Taylor M.

Abrégé

The invention relates to computer-implemented systems and methods that implement a tax opportunity analyzer. An embodiment of the present invention is directed to a multi-dimensional model (MDM) application that identifies cross functional opportunities by serving go-to-market (GTM) pillars of a professional services business in a unified framework. An embodiment of the present invention is directed to combining/aggregating data points relating to various companies. For example, the data points may relate to tax returns and other tax data. In this example, tax return data from thousands and thousands of clients from one or more tax service providers may be ingested and analyzed. Based on tax return and other data, an embodiment of the present invention may apply algorithms and formulas to identify opportunities and further prioritize the pursuit of the identified opportunities.

Classes IPC  ?

  • G06Q 30/0202 - Prédictions ou prévisions du marché pour les activités commerciales
  • G06Q 40/10 - Stratégies fiscales

48.

SYSTEM AND METHOD FOR IMPLEMENTING A TAX OPPORTUNITY ANALYZER AND DATA PLATFORM

      
Numéro d'application US2024012537
Numéro de publication 2024/172998
Statut Délivré - en vigueur
Date de dépôt 2024-01-23
Date de publication 2024-08-22
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Trauman, Brian
  • Asbury, Madison Gabrielle
  • Brown, Brad L.
  • Franklin, Michael K.
  • Utke, Joseph Edward
  • Varia, Tejas Nitin
  • Veranth, Taylor M.

Abrégé

The invention relates to computer-implemented systems and methods that implement a tax opportunity analyzer. An embodiment of the present invention is directed to a multi-dimensional model (MDM) application that identifies cross functional opportunities by serving go-to-market (GTM) pillars of a professional services business in a unified framework. An embodiment of the present invention is directed to combining/ aggregating data points relating to various companies. For example, the data points may relate to tax returns and other tax data. In this example, tax return data from thousands and thousands of clients from one or more tax service providers may be ingested and analyzed. Based on tax return and other data, an embodiment of the present invention may apply algorithms and formulas to identify opportunities and further prioritize the pursuit of the identified opportunities.

Classes IPC  ?

  • G06Q 40/12 - Comptabilité
  • G06N 5/04 - Modèles d’inférence ou de raisonnement
  • G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p. ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comportement ou d’aspect

49.

SYSTEM AND METHOD FOR SIMULATING OUTCOMES RELATING TO EMERGENCY MANAGEMENT SITUATIONS

      
Numéro d'application 18440409
Statut En instance
Date de dépôt 2024-02-13
Date de la première publication 2024-08-15
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gottlieb, Christopher
  • Booth, James Conley
  • Gorantla, Bharat C.
  • Salganicoff, Marcos

Abrégé

The invention relates to computer-implemented systems and methods for generating a computerized replica of an entire supply chain, capable of simulating how effectively and efficiently products are likely to be distributed under future disruptive conditions. For Emergency Management, an embodiment of the present invention may replicate various supply conditions facing essential products and simulate how a department is likely to perform when faced with a specific emergency event. An embodiment of the present invention may forecast how fast inventory will run out, the availability of alternative supplies, optimal points of distribution, and where the major points of vulnerability are throughout an entire network.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
  • G06Q 10/0833 - Repérage
  • G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes

50.

COMPUTER IMPLEMENTED METHOD FOR TRAINING A MODEL COMPRISING PLURALITY OF DATA SYNTHESIZERS FOR DATA SYNTHESIS WITH ENHANCED SCALABILITY AND A CORRESPONDING COMPUTER IMPLEMENTED METHOD FOR GENERATING A DATASET

      
Numéro d'application 18104325
Statut En instance
Date de dépôt 2023-02-01
Date de la première publication 2024-08-01
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Quemy, Alexandre
  • Martins Clemente, Fabiana

Abrégé

The present disclosure relates to the area of automatic data generation, in particular data synthesis, defining a highly scalable methodology for data synthesis. The disclosure comprises a computer implemented method for training a model comprising plurality of data synthesizers for data synthesis. The method may in turn comprise: providing a dataset X of M columns and N rows, segmenting the N rows into segments of N/n rows, and slicing the M columns into slices of M/m columns, combining each segment with a corresponding slice, thereby providing a providing a plurality of blocks, each block comprising a combination of a segment with a slice, providing a model with K data synthesizers, training each data synthesizer with a corresponding block, wherein a transformation is performed to provide statistical independence between rows and/or statistical independency between columns of the dataset X. The present disclosure relates to the area of automatic data generation, in particular data synthesis, defining a highly scalable methodology for data synthesis. The disclosure comprises a computer implemented method for training a model comprising plurality of data synthesizers for data synthesis. The method may in turn comprise: providing a dataset X of M columns and N rows, segmenting the N rows into segments of N/n rows, and slicing the M columns into slices of M/m columns, combining each segment with a corresponding slice, thereby providing a providing a plurality of blocks, each block comprising a combination of a segment with a slice, providing a model with K data synthesizers, training each data synthesizer with a corresponding block, wherein a transformation is performed to provide statistical independence between rows and/or statistical independency between columns of the dataset X. This method provides a substantially faster methodology, enabling a higher scalability.

Classes IPC  ?

51.

SYSTEM AND METHOD FOR DETERMINING PATIENT ACCESS IN A HEALTHCARE FACILITY

      
Numéro d'application 18511699
Statut En instance
Date de dépôt 2023-11-16
Date de la première publication 2024-05-16
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mota, Eduardo Lopez
  • Obenauf, Alex
  • Fecteau, Michael E.
  • Goyal, Saurabh

Abrégé

A patient access determination system configured to extract health related data from a data source to form extracted health data, generate a plurality of data pipelines for conveying the extracted health data, and store the extracted health data conveyed over one or more of the data pipelines in a data model to form stored health data. The data model includes tables for organizing and storing the extracted health data. The system also determines from at least the patient encounter data forming part of the stored health data a number of lost appointments that can be recovered by the healthcare facility and apply one or more machine learning models to the stored health data to generate predictions therefrom. The system can also generate one or more user interfaces for displaying selected portions of the stored health data and the predictions.

Classes IPC  ?

  • G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santéTIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p. ex. pour la gestion du personnel hospitalier ou de salles d’opération
  • G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux

52.

SYSTEM AND METHOD FOR DIGITIZING AND MINING HANDWRITTEN NOTES TO ENABLE REAL-TIME COLLABORATION

      
Numéro d'application 18384118
Statut En instance
Date de dépôt 2023-10-26
Date de la première publication 2024-05-02
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Sisselman, Michael
  • Berisha-Cornejo, Andrew
  • Durno, W. Evan
  • Yu, Xiaoyu

Abrégé

The invention relates to computer-implemented systems and methods for automatically discerning creation of handwritten verbiage (or typed) on a digital display; converting it to digital text objects that have been repaired (e.g., spelling, punctuation, etc.); and then inserting it as Scalable Vector Graphics onto the display.

Classes IPC  ?

  • G06F 3/04883 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels pour l’entrée de données par calligraphie, p. ex. sous forme de gestes ou de texte
  • G06F 40/40 - Traitement ou traduction du langage naturel

53.

System and method for implementing a responsible artificial intelligence (AI) common controls framework

      
Numéro d'application 18384148
Numéro de brevet 12718174
Statut Délivré - en vigueur
Date de dépôt 2023-10-26
Date de la première publication 2024-05-02
Date d'octroi 2026-08-25
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Combs, Kelly
  • Chandrasekaran, Swaminathan
  • Krishna, Sreekar
  • Li, Na
  • Sokalski, Martin
  • Zhang, Yiwen

Abrégé

The invention relates to computer-implemented systems and methods for implementing an innovative Responsible AI Common Controls framework for AI Governance. The system of an embodiment of the present invention focuses on connectivity, communication, automation, reporting and case management around critical AI Governance controls.

Classes IPC  ?

  • G06Q 10/0639 - Analyse des performances des employésAnalyse des performances des opérations d’une entreprise ou d’une organisation
  • G06N 20/20 - Techniques d’ensemble en apprentissage automatique
  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations

54.

System and method for implementing a verified digital asset platform

      
Numéro d'application 18368054
Numéro de brevet 12689517
Statut Délivré - en vigueur
Date de dépôt 2023-09-14
Date de la première publication 2024-03-14
Date d'octroi 2026-07-21
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Pol, Michal
  • Bond, Sarah J.
  • Bradley, Jon
  • Genega, Greg
  • Goldberg, Louis
  • Kim, Jiseon Stephanie
  • Melilli, Victor Charles
  • Miller, Joshua
  • Myers, Cory L.
  • Ognjanovic, Nikola G.
  • Puvvada, Anu Desireddi
  • Sacco, Edwige
  • Samek, Bryan
  • Urban, Andrew

Abrégé

The invention relates to computer-implemented systems and methods for implementing a verified digital asset platform. An embodiment of the present invention is directed to enabling companies to provide professional recognition awards to employees utilizing digital assets, such as NFT (Non-Fungible Tokens). With an embodiment of the present invention, a digital wallet may store public and private keys and allow the owner to perform various actions including access assets, manage assets and sign transactions.

Classes IPC  ?

  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité

55.

Security event management system and associated method

      
Numéro d'application 18329299
Numéro de brevet 12556557
Statut Délivré - en vigueur
Date de dépôt 2023-06-05
Date de la première publication 2023-12-07
Date d'octroi 2026-02-17
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Miller, Matthew Peyton
  • Stammel, Dennis Helmut
  • Carr, Chadd Daniel
  • Acharya, Amod Prasad
  • Budnik, Ryan Weslee
  • Collinge, James E.
  • De Joya, Noah-Raine G.
  • Leach, James
  • Macon, Christopher P.
  • Doherty, Conor

Abrégé

A network security monitoring system having a plurality of data sources for providing security data, an extraction unit for extracting the security data from the sources of the security data to form extracted security data, a graphing unit for mapping the extracted security data to at least one or more data fields and data models to form graph data, and a data lineage determination unit for determining a data lineage between the log data and one or more of the alerts based on the graph data.

Classes IPC  ?

56.

Configurable smart contract platform

      
Numéro d'application 17804878
Numéro de brevet 12125004
Statut Délivré - en vigueur
Date de dépôt 2022-06-01
Date de la première publication 2023-12-07
Date d'octroi 2024-10-22
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Ognjanovic, Nikola G.
  • Chew, Brian
  • Jarczyk, David
  • Li, Jenny
  • Pol, Michal

Abrégé

An embodiment of the present invention is directed to a fully self-sufficient and configurable smart contract for private blockchains that eliminates code and updates. An embodiment of the present invention does not rely on multiple smart contracts to handle incoming transactions and data. A configurable smart contract framework of an embodiment of the present invention enables end users to configure and manage various business rules to be applied to transaction data without the need to write smart contract code. These business rules may be stored in the ledger in the form of transaction configuration rules and query presets for full auditability and traceability.

Classes IPC  ?

  • G06Q 20/06 - Circuits privés de paiement, p. ex. impliquant de la monnaie électronique utilisée uniquement entre les participants à un programme commun de paiement

57.

CONFIGURABLE SMART CONTRACT PLATFORM

      
Numéro d'application US2023021811
Numéro de publication 2023/235128
Statut Délivré - en vigueur
Date de dépôt 2023-05-11
Date de publication 2023-12-07
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Ognjanovic, Nikola, G.
  • Chew, Brian
  • Jarczyk, David
  • Li, Jenny
  • Pol, Michal

Abrégé

An embodiment of the present invention is directed to a fully self-sufficient and configurable smart contract for private blockchains that eliminates code and updates. An embodiment of the present invention does not rely on multiple smart contracts to handle incoming transactions and data. A configurable smart contract framework of an embodiment of the present invention enables end users to configure and manage various business rules to be applied to transaction data without the need to write smart contract code. These business rules may be stored in the ledger in the form of transaction configuration rules and query presets for full auditability and traceability.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • G06Q 20/06 - Circuits privés de paiement, p. ex. impliquant de la monnaie électronique utilisée uniquement entre les participants à un programme commun de paiement

58.

System and method for implementing a multimodal assistant using large language models

      
Numéro d'application 18205698
Numéro de brevet 12469292
Statut Délivré - en vigueur
Date de dépôt 2023-06-05
Date de la première publication 2023-10-12
Date d'octroi 2025-11-11
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Chawda, Viral
  • Mcallister, Charles Scott

Abrégé

An embodiment of the present invention is directed to a multimodal assistant for mechanics and technicians in military warehouses using large language models. An exemplary system provides a conversational assistant to mechanics and technicians working in challenging environments, such as shop or warehouse floors with heavy industrial equipment and componentry. The innovative system may utilize multimodal large language models as well as image segmentation techniques to efficiently retrieve relevant information from asset reference materials, documentation and other sources of instructional information. The system may also use multimodal large language models to extract information from the retrieved documents and/or other data sources to provide guidance on performing discrete tasks related to the asset, such as routine maintenance, part replacement, services and/or other related actions.

Classes IPC  ?

  • G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
  • G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
  • G06F 16/532 - Formulation de requêtes, p. ex. de requêtes graphiques
  • G06F 40/40 - Traitement ou traduction du langage naturel
  • G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
  • G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
  • G06V 20/50 - Contexte ou environnement de l’image
  • G06V 30/19 - Reconnaissance utilisant des moyens électroniques

59.

System and method for predicting investigation queries based on prior investigations

      
Numéro d'application 17657689
Numéro de brevet 12418546
Statut Délivré - en vigueur
Date de dépôt 2022-04-01
Date de la première publication 2023-10-05
Date d'octroi 2025-09-16
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Bushey, Gary A.
  • Radhakrishnan, Hrisheek
  • Sondhi, Tarun

Abrégé

An embodiment of the present invention is directed to predicting investigation queries based on prior investigations. An embodiment of the present invention leverages the knowledge of the existing experienced analysts to assist and guide newer or less experienced analysts through incident investigations. By analyzing queries that have been run previously, and utilizing machine learning, an embodiment of the present invention may mimic the knowledge of experienced and/or existing analysts by automatically running those queries against similar incidents.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • G06F 16/9538 - Présentation des résultats des requêtes
  • H04L 9/40 - Protocoles réseaux de sécurité

60.

SYSTEM AND METHOD FOR PREDICTING INVESTIGATION QUERIES BASED ON PRIOR INVESTIGATIONS

      
Numéro d'application US2023015632
Numéro de publication 2023/192051
Statut Délivré - en vigueur
Date de dépôt 2023-03-20
Date de publication 2023-10-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Bushey, Gary, A.
  • Radhakrishnan, Hrisheek
  • Sondhi, Tarun

Abrégé

An embodiment of the present invention is directed to predicting investigation queries based on prior investigations. An embodiment of the present invention leverages the knowledge of the existing experienced analysts to assist and guide newer or less experienced analysts through incident investigations. By analyzing queries that have been run previously, and utilizing machine learning, an embodiment of the present invention may mimic the knowledge of experienced and/or existing analysts by automatically running those queries against similar incidents.

Classes IPC  ?

  • G06F 16/245 - Traitement des requêtes
  • G06F 16/00 - Recherche d’informationsStructures de bases de données à cet effetStructures de systèmes de fichiers à cet effet

61.

System and method for enriching and normalizing data

      
Numéro d'application 18097053
Numéro de brevet 12019596
Statut Délivré - en vigueur
Date de dépôt 2023-01-13
Date de la première publication 2023-08-24
Date d'octroi 2024-06-25
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Hanson, Niels
  • Gardner, James Johnson
  • Orpe, Punit S.
  • Du, Wendy
  • Brown, Laurence Anthony
  • Mannige, Ranjan Vivek
  • Green, David
  • Ahn, Michael
  • Zhou, Yang
  • Yuan, Andrew
  • Rosa, Adam Helio
  • Chen, Kyle B.
  • Perusse, Alex
  • Manaog, Christian Alexander
  • Somu, Yeshwanth
  • Cheng, Xin
  • Bearly, Torey C.
  • Saboo, Raghav
  • Pamaraju, Sphoorthy
  • Ernst, Erik
  • Ozuretmen, Can
  • Zhang, Yuan

Abrégé

An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Classes IPC  ?

  • G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
  • G06F 16/23 - Mise à jour
  • G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données

62.

SYSTEM AND METHOD FOR AGGREGATING AND ENRICHING DATA

      
Numéro d'application US2023062726
Numéro de publication 2023/159115
Statut Délivré - en vigueur
Date de dépôt 2023-02-16
Date de publication 2023-08-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Leach, James, Arthur
  • Tian, Shuo
  • Geiger, David

Abrégé

An intelligent forecasting system that includes sources of financial and non-financial input data and a user interface generator for generating user interfaces having window elements that display the input data. The window element includes a persistent navigation pane element having vertically stacked actuatable navigation soft buttons for accessing one or more portions of an intelligent forecasting. The navigation soft buttons include, among other buttons, an Outlier Treatment soft button for processing the input data by applying thereto a statistical processing model to detect outliers in the input data, a Model Selection soft button for selecting a statistical forecasting model to apply to the input data, a Signal Explorer soft button for selecting a signal transformation method for transforming the input data, a Model Prediction soft button for selecting one of the statistical forecasting models to apply to the input data, and a Simple Prediction soft button for automatically generating forecasts.

Classes IPC  ?

  • G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
  • G06F 16/248 - Présentation des résultats de requêtes

63.

SYSTEM AND METHOD FOR ENRICHING AND NORMALIZING DATA

      
Numéro de document 03244544
Statut En instance
Date de dépôt 2023-02-16
Date de disponibilité au public 2023-08-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Hanson, Niels
  • Gardner, James Johnson
  • Orpe, Punit S.
  • Du, Wendy
  • Brown, Laurence Anthony
  • Mannige, Ranjan Vivek
  • Green, David
  • Ahn, Michael
  • Zhou, Yang
  • Yuan, Andrew
  • Rosa, Adam Helio
  • Chen, Kyle B.
  • Perusse, Alex
  • Manaog, Christian Alexander
  • Somu, Yeshwanth
  • Cheng, Xin
  • Bearly, Torey C.
  • Saboo, Raghav
  • Pamaraju, Sphoorthy
  • Ernst, Erik
  • Ozuretmen, Can
  • Zhang, Yuan

Abrégé

An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Classes IPC  ?

64.

SYSTEM AND METHOD FOR ENRICHING AND NORMALIZING DATA

      
Numéro d'application US2023062728
Numéro de publication 2023/159117
Statut Délivré - en vigueur
Date de dépôt 2023-02-16
Date de publication 2023-08-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Hanson, Niels
  • Gardner, James Johnson
  • Orpe, Punit S.
  • Du, Wendy
  • Brown, Laurence Anthony
  • Mannige, Ranjan Vivek
  • Green, David
  • Ahn, Michael
  • Zhou, Yang
  • Yuan, Andrew
  • Rosa, Adam Helio
  • Chen, Kyle B.
  • Perusse, Alex
  • Manaog, Christian Alexander
  • Somu, Yeshwanth
  • Cheng, Xin
  • Bearly, Torey C.
  • Saboo, Raghav
  • Pamaraju, Sphoorthy
  • Ernst, Erik
  • Ozuretmen, Can
  • Zhang, Yuan

Abrégé

An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Classes IPC  ?

65.

System and method for asset serialization through image detection and recognition of unconventional identifiers

      
Numéro d'application 17659286
Numéro de brevet 11941902
Statut Délivré - en vigueur
Date de dépôt 2022-04-14
Date de la première publication 2023-06-15
Date d'octroi 2024-03-26
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mcallister, Charles Scott
  • Aggarwal, Arun
  • Rudisill, John Henry
  • Chawda, Viral
  • Hill, Kimball

Abrégé

An embodiment of the present invention is directed to a combination of two deep-learning computer vision models—customized with post-processing—wrapped in a mobile application that is backed by an Application Programming Interface (API) supporting concurrent mobile users to accomplish asset serialization tasks in a warehouse or other storage environment.

Classes IPC  ?

  • G06V 30/14 - Acquisition d’images
  • G06V 30/12 - Détection ou correction d’erreurs, p. ex. en effectuant une deuxième exploration du motif
  • G06V 30/19 - Reconnaissance utilisant des moyens électroniques
  • G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage

66.

SYSTEM AND METHOD FOR ASSET SERIALIZATION THROUGH IMAGE DETECTION AND RECOGNITION OF UNCONVENTIONAL IDENTIFIERS

      
Numéro d'application US2022051902
Numéro de publication 2023/107414
Statut Délivré - en vigueur
Date de dépôt 2022-12-06
Date de publication 2023-06-15
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Mcallister, Charles, Scott
  • Aggarwal, Arun
  • Rudisill, John, Henry
  • Chawda, Viral
  • Hill, Kimball

Abrégé

An embodiment of the present invention is directed to a combination of two deep-learning computer vision models - customized with post-processing - wrapped in a mobile application that is backed by an Application Programming Interface (API) supporting concurrent mobile users to accomplish asset serialization tasks in a warehouse or other storage environment.

Classes IPC  ?

  • G06T 15/00 - Rendu d'images tridimensionnelles [3D]
  • G06F 1/16 - Détails ou dispositions de structure
  • G06N 20/00 - Apprentissage automatique
  • G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
  • F41G 3/14 - Dispositifs de tir indirect

67.

System and method for detecting system executable abnormalities

      
Numéro d'application 17958828
Numéro de brevet 12554679
Statut Délivré - en vigueur
Date de dépôt 2022-10-03
Date de la première publication 2023-04-06
Date d'octroi 2026-02-17
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Nides, David
  • Harris, Zachariah Sheldon
  • Sancho Silgado, Andrea
  • Seyer, Matthew Lewis

Abrégé

The invention relates to computer-implemented systems and methods that perform forensic investigations including detecting system executable abnormalities. An embodiment of the present invention may be applied to various operating systems, such as Windows, Mac, Linux, etc. Operating systems may represent a collection of programs that coordinate the operation of computer hardware and software and provide common services for computer programs. An embodiment of the present invention recognizes that certain files such as OS catalogs identify known good files and may be filtered out. The OS catalog identifies what executables are expected and further supports what type of files should not be part of the install. An embodiment of the present invention also identifies unique executable properties that relate to a specific operating system. These properties may identify operating system specific characteristics that may be used to filter known good executables.

Classes IPC  ?

  • G06F 16/13 - Structures d’accès aux fichiers, p. ex. indices distribués
  • G06F 9/44 - Dispositions pour exécuter des programmes spécifiques

68.

SYSTEM AND METHOD FOR IMPLEMENTING A SECURITIES ANALYZER

      
Numéro d'application US2022045319
Numéro de publication 2023/055984
Statut Délivré - en vigueur
Date de dépôt 2022-09-30
Date de publication 2023-04-06
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gwozdz, Joseph
  • Cerino, Timothy, J.
  • Palakkal, Binoy
  • Koller, Jesse, David

Abrégé

The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi -structured data, unstructured data, and images and voice. Embodiments of the systems and the methods further provide for generating responses to specific questions relating to certain rates and terms, such as LIBOR, as well as complex legal constructs, such as interest rate fallback waterfalls, for risk assessment and mitigation. The present invention performs environmental, social, governance analytics on asset- backed securities including commercial mortgage-backed securities.

Classes IPC  ?

  • G06F 16/9032 - Formulation de requêtes
  • G06F 16/178 - Techniques de synchronisation des fichiers dans les systèmes de fichiers
  • G06F 16/35 - PartitionnementClassement
  • G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
  • G06F 40/205 - Analyse syntaxique
  • G06F 40/216 - Analyse syntaxique utilisant des méthodes statistiques
  • G06F 40/295 - Reconnaissance de noms propres
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06N 20/00 - Apprentissage automatique

69.

SYSTEM AND METHOD FOR IMPLEMENTING A RESEARCH AND DEVELOPMENT TAX CREDIT TOOL

      
Numéro d'application US2022041537
Numéro de publication 2023/028240
Statut Délivré - en vigueur
Date de dépôt 2022-08-25
Date de publication 2023-03-02
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wanchoo, Ajay
  • Ejner, Chaitanyasinh
  • Marinkovich, Kate
  • Rekhi, Arjun

Abrégé

An embodiment of the present invention is directed to an Agile Research and Development (R&D) Analyzer that represents a suite of tools that analyze documentation and associated metadata from project management systems such as JIRA, Wiki, and GIT to assist in key stages of a qualitative assessment of an R&D Tax Credit Study. The quantitative assessment may be leveraged across a number of entities and clients that use Agile software development processes or other iterative approach to project management and software development. For example, the Agile R&D Analyzer may be used by Tax engagement team members during a R&D Tax Credit Study.

Classes IPC  ?

  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu
  • G06Q 10/10 - BureautiqueGestion du temps
  • G06Q 10/00 - AdministrationGestion

70.

SYSTEM AND METHOD FOR INTEGRATING A DATA RISK MANAGEMENT ENGINE AND AN INTELLIGENT GRAPH PLATFORM

      
Numéro d'application US2022041878
Numéro de publication 2023/028365
Statut Délivré - en vigueur
Date de dépôt 2022-08-29
Date de publication 2023-03-02
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Calado, Joao, Pedro Seixas
  • Figueroa, Osman Santos
  • Henzey, Michael James
  • Mannige, Ranjan Vivek

Abrégé

The invention relates to computer-implemented systems and methods for data risk management that provides traceability across governing artifacts which is key to driving effective data risk management and achieving compliance to policy, standards and controls. An embodiment of the present invention is directed to a standardized data risk taxonomy, harmonized classification schema, policy and standard hierarchy, control catalog and standard of care. These components facilitate an alignment to a full information lifecycle with a common definition of data risk, traceability across governing artifacts (e.g., obligations, policies, standards, risks, controls, etc.) and standardized catalogs with defined treatment across harmonized classification of assets.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu
  • G06Q 10/00 - AdministrationGestion

71.

SYSTEM AND METHOD FOR IMPLEMENTING A RESEARCH AND DEVELOPMENT TAX CREDIT TOOL

      
Numéro d'application 17895825
Statut En instance
Date de dépôt 2022-08-25
Date de la première publication 2023-03-02
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wanchoo, Ajay
  • Ejner, Chaitanyasinh
  • Marinkovich, Kate
  • Rekhi, Arjun

Abrégé

An embodiment of the present invention is directed to an Agile Research and Development (R&D) Analyzer that represents a suite of tools that analyze documentation and associated metadata from project management systems such as JIRA, Wiki, and GIT to assist in key stages of a qualitative assessment of an R&D Tax Credit Study. The quantitative assessment may be leveraged across a number of entities and clients that use Agile software development processes or other iterative approach to project management and software development. For example, the Agile R&D Analyzer may be used by Tax engagement team members during a R&D Tax Credit Study.

Classes IPC  ?

  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu

72.

System and method for implementing a document quality analysis and review tool

      
Numéro d'application 17896274
Numéro de brevet 11763072
Statut Délivré - en vigueur
Date de dépôt 2022-08-26
Date de la première publication 2023-03-02
Date d'octroi 2023-09-19
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wanchoo, Ajay
  • Ejner, Chaitanyasinh
  • Grossi, Francesco

Abrégé

The invention relates to computer-implemented systems and methods for assessing the quality of a document or a technical memorandum written with a loosely defined template, stereotype and/or outline of key sections or headers. An embodiment of the present invention leverages Natural Language Processing (NLP) and Machine Learning (ML) techniques to identify key sections in a document using NLP text patterns and further establish, using ML, how closely a given section matches similar sections in other documents that are considered by human Subject Matter Experts (SMEs) to be “well-written” for the intended purpose of the overall document. An embodiment of the present invention further ascertains whether the overall flow of the document follows a general outline in terms of the order of sections.

Classes IPC  ?

  • G06F 17/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
  • G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
  • G06F 40/171 - Édition, p. ex. insertion ou suppression au moyen d’encre numérique
  • G06F 40/279 - Reconnaissance d’entités textuelles

73.

System and method for integrating a data risk management engine and an intelligent graph platform

      
Numéro d'application 17897814
Numéro de brevet 12626207
Statut Délivré - en vigueur
Date de dépôt 2022-08-29
Date de la première publication 2023-03-02
Date d'octroi 2026-05-12
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Calado, Joao Pedro Seixas
  • Figueroa, Osman Santos
  • Henzey, Michael James
  • Mannige, Ranjan Vivek

Abrégé

The invention relates to computer-implemented systems and methods for data risk management that provides traceability across governing artifacts which is key to driving effective data risk management and achieving compliance to policy, standards and controls. An embodiment of the present invention is directed to a standardized data risk taxonomy, harmonized classification schema, policy and standard hierarchy, control catalog and standard of care. These components facilitate an alignment to a full information lifecycle with a common definition of data risk, traceability across governing artifacts (e.g., obligations, policies, standards, risks, controls, etc.) and standardized catalogs with defined treatment across harmonized classification of assets.

Classes IPC  ?

  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations
  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité

74.

SYSTEM AND METHOD FOR IMPLEMENTING A DOCUMENT QUALITY ANALYSIS AND REVIEW TOOL

      
Numéro d'application US2022041638
Numéro de publication 2023/028292
Statut Délivré - en vigueur
Date de dépôt 2022-08-26
Date de publication 2023-03-02
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wanchoo, Ajay
  • Ejner, Chaitanyasinh
  • Grossi, Francesco

Abrégé

The invention relates to computer-implemented systems and methods for assessing the quality of a document or a technical memorandum written with a loosely defined template, stereotype and/or outline of key sections or headers. An embodiment of the present invention leverages Natural Language Processing (NLP) and Machine Learning (ML) techniques to identify key sections in a document using NLP text patterns and further establish, using ML, how closely a given section matches similar sections in other documents that are considered by human Subject Matter Experts (SMEs) to be "well-written" for the intended purpose of the overall document. An embodiment of the present invention further ascertains whether the overall flow of the document follows a general outline in terms of the order of sections.

Classes IPC  ?

  • G06F 16/31 - IndexationStructures de données à cet effetStructures de stockage
  • G06F 16/38 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
  • G06F 40/117 - ÉtiquetageAnnotation Désignation de blocChoix des attributs
  • G06F 40/16 - Apprentissage automatique des règles de transformation, p. ex. au moyen d’exemples
  • G06F 40/226 - Tests de validation
  • G06F 40/35 - Représentation du discours ou du dialogue

75.

SYSTEM AND METHOD FOR IMPLEMENTING A MEDICAL RECORDS ANALYTICS PLATFORM

      
Numéro d'application US2022037072
Numéro de publication 2023/287952
Statut Délivré - en vigueur
Date de dépôt 2022-07-14
Date de publication 2023-01-19
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Scripka, David
  • Cobb, Drew, S.
  • Covella Ii, Thomas, R.
  • Kab, Dylan
  • Kaestner, Martin
  • Wagner-Kaiser, Rachel

Abrégé

The invention relates to computer-implemented systems and methods for analyzing medical images and records in various formats and structures from disparate sources and providers to provide answers to specific medical-related questions. An embodiment of the present invention is directed to accessing a health care form, identifying related text, leveraging computer vision technology to group nearby text, and applying deep learning models to identify fields from the text. This information may then be used to create a structured standardized output.

Classes IPC  ?

  • G06F 16/9032 - Formulation de requêtes
  • G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients

76.

System and method for implementing a medical records analytics platform

      
Numéro d'application 17812474
Numéro de brevet 12347534
Statut Délivré - en vigueur
Date de dépôt 2022-07-14
Date de la première publication 2023-01-19
Date d'octroi 2025-07-01
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Scripka, David
  • Cobb, Drew S.
  • Covella, Ii, Thomas R.
  • Kab, Dylan
  • Kaestner, Martin
  • Wagner-Kaiser, Rachel

Abrégé

The invention relates to computer-implemented systems and methods for analyzing medical images and records in various formats and structures from disparate sources and providers to provide answers to specific medical-related questions. An embodiment of the present invention is directed to accessing a health care form, identifying related text, leveraging computer vision technology to group nearby text, and applying deep learning models to identify fields from the text. This information may then be used to create a structured standardized output.

Classes IPC  ?

  • G06F 40/30 - Analyse sémantique
  • G06F 40/20 - Analyse du langage naturel
  • G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
  • G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition

77.

System and method for enriching and normalizing data

      
Numéro d'application 17675192
Numéro de brevet 11556510
Statut Délivré - en vigueur
Date de dépôt 2022-02-18
Date de la première publication 2023-01-17
Date d'octroi 2023-01-17
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Hanson, Niels
  • Gardner, James Johnson
  • Orpe, Punit S.
  • Du, Wendy
  • Brown, Laurence Anthony
  • Mannige, Ranjan Vivek
  • Green, David
  • Ahn, Michael
  • Zhou, Yang
  • Yuan, Andrew
  • Rosa, Adam Helio
  • Chen, Kyle B.
  • Perusse, Alex
  • Manaog, Christian Alexander
  • Somu, Yeshwanth
  • Cheng, Xin
  • Bearly, Torey C.
  • Saboo, Raghav
  • Pamaraju, Sphoorthy
  • Ernst, Erik
  • Ozuretmen, Can
  • Zhang, Yuan

Abrégé

An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Classes IPC  ?

  • G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
  • G06F 16/23 - Mise à jour
  • G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données

78.

SYSTEM AND METHOD FOR ENHANCING THIRD PARTY SECURITY

      
Numéro d'application 17846974
Statut En instance
Date de dépôt 2022-06-22
Date de la première publication 2022-12-22
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Sindhu, Saugat
  • Goy, Romain
  • Sbizzera, Stephane
  • Sarangabani, Devakumar
  • Haslam, Thomas
  • Dambrot, Jonathan E.
  • Pitti, Mitushi

Abrégé

A third party security system having an intelligence unit for receiving and processing vendor related data to generate insights regarding vendor related tasks; a risk assessment unit for receiving and processing risk score data associated with the vendor and for generating a predicted risk score value of the vendor; a legal assessment unit for receiving legal data and for determining based on the legal data whether the vendor is in compliance with a contractual obligation; a vendor tiering unit for receiving the vendor related data and for classifying the vendor into one or more classes based on the vendor related data; a program quality and efficiency analysis unit for receiving the risk score data and for determining an accuracy of the risk score; and a service unit for generating a virtual agent for allowing communication with the system.

Classes IPC  ?

  • G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • G06Q 20/02 - Architectures, schémas ou protocoles de paiement impliquant un tiers neutre, p. ex. une autorité de certification, un notaire ou un tiers de confiance

79.

System and method for aggregating and enriching data

      
Numéro d'application 17675560
Numéro de brevet 11526261
Statut Délivré - en vigueur
Date de dépôt 2022-02-18
Date de la première publication 2022-12-13
Date d'octroi 2022-12-13
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Leach, James Arthur
  • Tian, Shuo
  • Geiger, David

Abrégé

An intelligent forecasting system that includes sources of financial and non-financial input data and a user interface generator for generating user interfaces having window elements that display the input data. The window element includes a persistent navigation pane element having vertically stacked actuatable navigation soft buttons for accessing one or more portions of an intelligent forecasting. The navigation soft buttons include, among other buttons, an Outlier Treatment soft button for processing the input data by applying thereto a statistical processing model to detect outliers in the input data, a Model Selection soft button for selecting a statistical forecasting model to apply to the input data, a Signal Explorer soft button for selecting a signal transformation method for transforming the input data, a Model Prediction soft button for selecting one of the statistical forecasting models to apply to the input data, and a Simple Prediction soft button for automatically generating forecasts.

Classes IPC  ?

  • G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
  • G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
  • G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
  • G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques
  • G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
  • G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur

80.

SYSTEM AND METHOD FOR IMPLEMENTING A COMMERCIAL LEAKAGE PLATFORM

      
Numéro d'application US2022029980
Numéro de publication 2022/246034
Statut Délivré - en vigueur
Date de dépôt 2022-05-19
Date de publication 2022-11-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wagner-Kaiser, Rachel
  • Kab, Dylan
  • Gardner, James
  • Kaestner, Martin
  • Lee, John, Hyung
  • Scripka, David
  • Soileau, Ryan, Christopher
  • Vorsanger, Gregory, Alexander
  • Xue, Chenming

Abrégé

The invention relates to computer-implemented systems and methods for identifying and further preventing commercial or contract leakage across multiple different procurement relationships. This may involve ingesting a contract extracting commercial terms, such as price, rates, etc. Invoices may be similarly ingested and commercial terms may be extracted on a line item basis. An embodiment of the present invention may identify various types of commercial leakage, such as rate/price discrepancies, full/partial duplication, unrealized discounts, unrealized rebates, disallowance of charges (travel expenses), etc.

Classes IPC  ?

  • G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
  • G06F 40/205 - Analyse syntaxique
  • G06F 40/216 - Analyse syntaxique utilisant des méthodes statistiques
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06N 20/00 - Apprentissage automatique

81.

System and method for implementing a commercial leakage platform

      
Numéro d'application 17664078
Numéro de brevet 12361457
Statut Délivré - en vigueur
Date de dépôt 2022-05-19
Date de la première publication 2022-11-24
Date d'octroi 2025-07-15
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wagner-Kaiser, Rachel
  • Kab, Dylan
  • Gardner, James
  • Kaestner, Martin
  • Lee, John Hyung
  • Scripka, David
  • Soileau, Ryan Christopher
  • Vorsanger, Gregory Alexander
  • Xue, Chenming

Abrégé

The invention relates to computer-implemented systems and methods for identifying and further preventing commercial or contract leakage across multiple different procurement relationships. This may involve ingesting a contract extracting commercial terms, such as price, rates, etc. Invoices may be similarly ingested and commercial terms may be extracted on a line item basis. An embodiment of the present invention may identify various types of commercial leakage, such as rate/price discrepancies, full/partial duplication, unrealized discounts, unrealized rebates, disallowance of charges (travel expenses), etc.

Classes IPC  ?

  • G06F 16/93 - Systèmes de gestion de documents
  • G06Q 10/0875 - Énumération ou classification des pièces, des fournitures ou des services, p. ex. nomenclatures
  • G06Q 30/0283 - Estimation ou détermination de prix

82.

SYSTEM AND METHOD FOR COLLECTING AND STORING ENVIRONMENTAL DATA IN A DIGITAL TRUST MODEL AND FOR DETERMINING EMISSIONS DATA THEREFROM

      
Numéro d'application 17849412
Statut En instance
Date de dépôt 2022-06-24
Date de la première publication 2022-10-13
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Kumar, Venki
  • Ghosh, Arun
  • Keele, Tegan
  • Niketas, Ashley
  • Maloney, Ryan
  • Shetty, Soumya
  • Rainey, Steven K.

Abrégé

A system and method for monitoring and assessing the carbon footprint of an enterprise. The system aggregates data, such as for example environmental data, enriches the data and then stores the data along with additional information in a blockchain. The additional information stored in the blockchain can include third party data, the types of risk models and machine learning techniques employed by the system, emissions data, attribute data, and the like.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

83.

SYSTEM AND METHOD FOR MONITORING, MEASURING, AND MITIGATING CYBER THREATS TO A COMPUTER SYSTEM

      
Numéro d'application 17493138
Statut En instance
Date de dépôt 2021-10-04
Date de la première publication 2022-06-30
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Jajoo, Vijay
  • Krishna, Sreekar
  • Zhang, Yiwen
  • Gawron, Anthony Lanting

Abrégé

A cyber security system employing machine learning techniques to help predict and protect computing systems from cyber-attacks. The system comprises data sources for storing security data, a deployment infrastructure for generating a portion of the security data insights, and a data analytics module for processing the security data. The data analytics module includes a data connector unit for collecting and organizing the security data into a selected format, a data preprocessing unit for cleaning the organized security data, a cyber feature unit for identifying based on preselected cyber features selected portions of the cleaned security data associated with the cyber features, a model development unit for applying one or more selected machine learning techniques to the features to form output model data, and a model prediction unit for generating based on the output model data one or more prediction values based on the cleaned security data and the cyber features.

Classes IPC  ?

  • G06F 21/55 - Détection d’intrusion locale ou mise en œuvre de contre-mesures
  • G06N 20/00 - Apprentissage automatique
  • G06F 21/60 - Protection de données

84.

Modular, configurable smart contracts for blockchain transaction processing

      
Numéro d'application 17653600
Numéro de brevet 12423693
Statut Délivré - en vigueur
Date de dépôt 2022-03-04
Date de la première publication 2022-06-16
Date d'octroi 2025-09-23
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Ognjanovic, Nikola G.
  • Jarczyk, David Richard
  • Pol, Michal
  • Li, Jenny

Abrégé

The invention relates to systems and methods for providing modular and configurable smart contracts for blockchain applications. The smart contracts may be utilized to retain all transaction attribute values in a world state database of the blockchain-implemented ledger. The systems and methods can further provide for dynamically configurable metadata and rules for transaction attributes recorded on a blockchain transaction log. The metadata and rules corresponding to the transaction attributes may be dynamically updated and applied to the transaction attributes.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité

85.

TOKENIZED ENERGY SETTLEMENTS APPLICATION

      
Numéro d'application 17450292
Statut En instance
Date de dépôt 2021-10-08
Date de la première publication 2022-04-14
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gopireddy, Abhitej Kumar
  • Atmakur, Shekar
  • Chandran, Pravin
  • Kniess, Matthew Daniel
  • Shetty, Soumya

Abrégé

Systems and methods disclosed herein are directed to a tokenized energy settlements application. By combining capabilities to automate reconciliation, attest to transactions, and automate payment settlements for the energy industry, an embodiment of the present invention enables organizations to accelerate their post trade processes of transaction reconciliation and payment settlement.

Classes IPC  ?

  • G06Q 20/36 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des portefeuilles électroniques ou coffres-forts électroniques
  • G06Q 50/06 - Fourniture d’énergie ou d’eau
  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
  • G06Q 20/02 - Architectures, schémas ou protocoles de paiement impliquant un tiers neutre, p. ex. une autorité de certification, un notaire ou un tiers de confiance

86.

SYSTEM AND METHOD FOR INTELLIGENT REVIEW, PROCESSING AND REPORTING OF FINANCIAL DATA

      
Numéro d'application 17229562
Statut En instance
Date de dépôt 2021-04-13
Date de la première publication 2022-02-10
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Brown, Brad L.
  • Bloodwell, Sean Daniel
  • Garlock, Travis Lee
  • Giffin, Lisa Maestrale
  • Ono, Kenjiro James
  • Patel, Zubin
  • Rainey, Steven K.

Abrégé

An intelligent review and processing system and associated method for receiving financial data from one or more data sources, processing and storing the financial data, and generating one or more reports from the financial data with a report generator. The report generator includes a user interface generator for generating a plurality of user interfaces having a window element that includes a navigation pane formed along a left side of the window element having an actuatable soft button for accessing one or more portions of a tax review sequence having a plurality of tax review steps, a top pane element for displaying tip information, and a bottom pane element for displaying information associated with one or more of the plurality of tax review steps. The one or more of the plurality of user interfaces has a window element that includes a graphical element representative of the plurality of tax review steps.

Classes IPC  ?

  • G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p. ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comportement ou d’aspect
  • G06N 5/04 - Modèles d’inférence ou de raisonnement
  • G06N 20/00 - Apprentissage automatique
  • G06Q 10/10 - BureautiqueGestion du temps
  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu
  • G06Q 40/06 - Gestion de biensPlanification ou analyse financières

87.

System and method for generation of process graphs from multi-media narratives

      
Numéro d'application 16942485
Numéro de brevet 11727685
Statut Délivré - en vigueur
Date de dépôt 2020-07-29
Date de la première publication 2022-02-03
Date d'octroi 2023-08-15
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Chandrasekaran, Swaminathan
  • Singh, Shiwangi
  • Li, Shan-Chuan
  • Sekhar, Anand
  • Yu, Qianhao
  • Venkateswaran, Sathyanarayan
  • Baltay, Oliver Michael

Abrégé

A system for characterizing content relating to a desired outcome is disclosed. The disclosed system can be configured to identify context included in content collected from various content sources, map the identified context into graph nodes and graph edges connecting the graph nodes, identify one or more features of the identified context and adjust at least one of: a graph node and a graph edge based on the identified one or more features, identify a graph incorporating the graph nodes, the graph edges, and at least one of an adjusted graph node and an adjusted graph edge, and provide a recommendation for at least one action for achieving the desired outcome based on the identified graph.

Classes IPC  ?

  • G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
  • G06F 40/58 - Utilisation de traduction automatisée, p. ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
  • G06F 16/901 - IndexationStructures de données à cet effetStructures de stockage
  • G06F 18/24 - Techniques de classification
  • G06N 3/04 - Architecture, p. ex. topologie d'interconnexion

88.

System and method for implementing a securities analyzer

      
Numéro d'application 17449541
Numéro de brevet 11907299
Statut Délivré - en vigueur
Date de dépôt 2021-09-30
Date de la première publication 2022-01-20
Date d'octroi 2024-02-20
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Gwozdz, Joseph
  • Cerino, Timothy J.
  • Palakkal, Binoy
  • Koller, Jesse David

Abrégé

The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. Embodiments of the systems and the methods further provide for generating responses to specific questions relating to certain rates and terms, such as LIBOR, as well as complex legal constructs, such as interest rate fallback waterfalls, for risk assessment and mitigation. The present invention performs environmental, social, governance analytics on asset-backed securities including commercial mortgage-backed securities.

Classes IPC  ?

  • G06F 16/9032 - Formulation de requêtes
  • G06F 40/14 - Documents en configuration arborescente
  • G06F 40/30 - Analyse sémantique
  • G06F 40/56 - Génération de langage naturel
  • G06F 40/131 - Fragmentation de fichiers textes, p. ex. création de blocs de texte réutilisablesLiaison aux fragments, p. ex. par utilisation de XIncludeEspaces de nommage
  • G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
  • G06F 40/205 - Analyse syntaxique
  • G06F 40/216 - Analyse syntaxique utilisant des méthodes statistiques
  • G06F 40/295 - Reconnaissance de noms propres
  • G06N 20/00 - Apprentissage automatique
  • G06F 16/178 - Techniques de synchronisation des fichiers dans les systèmes de fichiers
  • G06F 16/11 - Administration des systèmes de fichiers, p. ex. détails de l’archivage ou d’instantanés
  • G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
  • G06F 16/35 - PartitionnementClassement
  • G06V 30/413 - Classification de contenu, p. ex. de textes, de photographies ou de tableaux

89.

Modular, configurable smart contracts for blockchain transaction processing validations

      
Numéro d'application 17408861
Numéro de brevet 11748752
Statut Délivré - en vigueur
Date de dépôt 2021-08-23
Date de la première publication 2021-12-09
Date d'octroi 2023-09-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Rainey, Steven K.
  • Jarczyk, David Richard
  • Ognjanovic, Nikola G.
  • Leuthaeuser, Noah
  • Pol, Michal
  • Donnelly, Christopher
  • Li, Jenny
  • Jalal, Rafiq Mohamed
  • Rajbanshi, Ashish Lal

Abrégé

The invention relates to systems and methods for providing modular and configurable smart contracts for blockchain applications. The smart contracts may be utilized to retain all transaction attribute values in a world state database of the blockchain-implemented ledger. The systems and methods can further provide for dynamically configurable validation metadata and validation rules for transaction attributes recorded on a blockchain transaction log. The validation metadata and validation rules corresponding to the transaction attributes can be dynamically updated and applied to the transaction attributes to validate or invalidate a transaction.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité

90.

Scalable and advanced analytics computing platform for distributed ledger data and custody solutions

      
Numéro d'application 17408975
Numéro de brevet 11726988
Statut Délivré - en vigueur
Date de dépôt 2021-08-23
Date de la première publication 2021-12-09
Date d'octroi 2023-08-15
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wyner, Samuel
  • Ternullo, Salvatore Joseph
  • Atmakur, Shekar
  • Bornatsch, Kevin
  • Rice, Sydney M.

Abrégé

Systems and methods disclosed herein are directed to a scalable and advanced analytics computing platform for distributed ledger data for integrating an entity's legacy systems, distributed ledger systems, and crypto-asset transactions, as well as related metadata. The systems and methods further relate to a custody adapter implementation that enables interactions across multiple custody technology providers, sub-custody providers, and internal custody solutions.

Classes IPC  ?

  • G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
  • G06Q 20/06 - Circuits privés de paiement, p. ex. impliquant de la monnaie électronique utilisée uniquement entre les participants à un programme commun de paiement
  • G06F 9/445 - Chargement ou démarrage de programme
  • G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
  • G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
  • G06F 16/23 - Mise à jour
  • G06F 21/60 - Protection de données
  • G06F 9/54 - Communication interprogramme
  • H04L 9/08 - Répartition de clés
  • G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité

91.

System and method for embedding a data analytics system in a third party native environment

      
Numéro d'application 16878402
Numéro de brevet 11941705
Statut Délivré - en vigueur
Date de dépôt 2020-05-19
Date de la première publication 2021-11-25
Date d'octroi 2024-03-26
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Sims, Brian Lee
  • Joelson, Mark Anthony
  • Kretman, Erin Elizabeth
  • Henley, Hunter Troy
  • Kosky, Iii, Stephen P.

Abrégé

A data processing and analytics system for processing financial related data includes a financial data processing unit that is secured by a security layer. The financial data processing unit and the security layer are embedded in a company native environment. The company has a plurality of data sources for providing raw financial data that is filtered by the security layer prior to transfer to the financial data processing unit. The financial data processing unit includes a raw data storage unit for storing the raw financial data, and a data processing unit for processing the raw financial data via one or more preloaded audit applications. The processed financial data is then employed to generate one or more financial reports that are then transferred to the financial expert externally of the company.

Classes IPC  ?

  • G06Q 40/12 - Comptabilité
  • G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
  • G06F 16/9035 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
  • G06F 21/60 - Protection de données
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
  • G06Q 10/10 - BureautiqueGestion du temps

92.

MODULAR, CONFIGURALBLE SMART CONTRACTS FOR BLOCKCHAIN TRANSACTIONS

      
Numéro d'application US2021032147
Numéro de publication 2021/236403
Statut Délivré - en vigueur
Date de dépôt 2021-05-13
Date de publication 2021-11-25
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Jarczyk, David R.
  • Ognjanovic, Nikola G.
  • Leuthaeuser, Noah
  • Pol, Michal
  • Rainey, Steven K.
  • Donnelly, Christopher
  • Li, Jenny
  • Jalal, Rafiq Mohamed
  • Rajbanshi, Ashish Lal

Abrégé

The invention relates to systems and methods for providing modular and configurable smart contracts for blockchain applications. The smart contracts may be utilized to retain all transaction attribute values in a world state database of the blockchain-implemented ledger. The systems and methods can further provide for dynamically configurable validation metadata and validation rules for transaction attributes recorded on a blockchain transaction log. The validation metadata and validation rules corresponding to the transaction attributes can be dynamically updated and applied to the transaction attributes to validate or invalidate a transaction.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
  • H04L 9/34 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité des bits ou des blocs de bits du message télégraphique étant interchangés dans le temps

93.

SYSTEM AND METHOD FOR EMBEDDING A DATA ANALYTICS SYSTEM IN A THIRD PARTY NATIVE ENVIRONMENT

      
Numéro d'application US2021033095
Numéro de publication 2021/236730
Statut Délivré - en vigueur
Date de dépôt 2021-05-19
Date de publication 2021-11-25
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Sims, Brian, Lee
  • Joelson, Mark, Anthony
  • Kretman, Erin, Elizabeth
  • Henley, Hunter, Troy
  • Kosky, Stephen, P., Iii.

Abrégé

A data processing and analytics system for processing financial related data includes a financial data processing unit that is secured by a security layer. The financial data processing unit and the security layer are embedded in a company native environment. The company has a plurality of data sources for providing raw financial data that is filtered by the security layer prior to transfer to the financial data processing unit. The financial data processing unit includes a raw data storage unit for storing the raw financial data, and a data processing unit for processing the raw financial data via one or more preloaded audit applications. The processed financial data is then employed to generate one or more financial reports that are then transferred to the financial expert externally of the company.

Classes IPC  ?

  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu

94.

System and method for cloud security monitoring

      
Numéro d'application 16870450
Numéro de brevet 11553036
Statut Délivré - en vigueur
Date de dépôt 2020-05-08
Date de la première publication 2021-11-11
Date d'octroi 2023-01-10
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Dojka, Wojciech K.
  • Scott, Kevin Ray
  • Schellenberg, Gregory

Abrégé

The invention relates to a computer-implemented system for security monitoring of Member accounts in a cloud environment. The Member accounts are provided as instances of cloud services in one or more monitored clouds by one or more cloud service providers. The system is programmed to automatically deploy software agents to the Member accounts. The software agents are configured to monitor activities in the Member accounts and to push security and operations data to a SIEM platform. The security and operations data may comprise alerts and activity logs for the Member accounts, public internet protocol (IP) addresses used by the Member accounts, and identifying information for individuals and information technology (IT) assets associated with the Member accounts. The system includes a user interface to define customized alerts based on the security and operations data, and the system generates and sends the customized alerts to a system administrator or security analyst.

Classes IPC  ?

  • G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p. ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié
  • H04L 67/1001 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour accéder à un serveur parmi une pluralité de serveurs répliqués
  • H04L 67/00 - Dispositions ou protocoles de réseau pour la prise en charge de services ou d'applications réseau
  • G06F 8/65 - Mises à jour
  • H04L 9/40 - Protocoles réseaux de sécurité

95.

SCALABLE AND ADVANCED ANALYTICS COMPUTING PLATFORM FOR DISTRIBUTED LEDGER DATA

      
Numéro d'application US2021021506
Numéro de publication 2021/221795
Statut Délivré - en vigueur
Date de dépôt 2021-03-09
Date de publication 2021-11-04
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Bornatsch, Kevin
  • Atmakur, Shekar
  • Wyner, Samuel
  • Becker, Derek
  • Famutimi, Okikiola
  • Ternullo, Salvatore, Joseph

Abrégé

Systems and methods disclosed herein are directed to a scalable and advanced analytics computing platform for distributed ledger data for integrating an entity's legacy systems, distributed ledger systems, and crypto-asset transactions, as well as related metadata.

Classes IPC  ?

  • G06F 21/71 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du calcul ou du traitement de l’information
  • G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données
  • H04L 9/08 - Répartition de clés

96.

SYSTEM AND METHOD FOR COLLECTING AND STORING ENVIRONMENTAL DATA IN A DIGITAL TRUST MODEL, AND PROCESSING THE DATA USING AN ACCOUNTING INFRASTRUCTURE

      
Numéro d'application US2021028990
Numéro de publication 2021/217097
Statut Délivré - en vigueur
Date de dépôt 2021-04-23
Date de publication 2021-10-28
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Kumar, Venki
  • Atmakur, Shekar
  • Ternullo, Salvatore Joseph
  • Kumar, Padmini Ashok

Abrégé

A data collection and processing system that aggregates data, such as for example environmental data, and then stores the data along with additional information in an immutable and trusted manner, such as for example by employing blockchain technology. The additional information stored in the blockchain can include third party data, the types of risk models and machine learning techniques employed by the system, as well as the data outputted from an enrichment or cognitive intelligence unit.

Classes IPC  ?

  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu

97.

System and method for identifying cybersecurity threats

      
Numéro d'application 17351539
Numéro de brevet 11381592
Statut Délivré - en vigueur
Date de dépôt 2021-06-18
Date de la première publication 2021-10-07
Date d'octroi 2022-07-05
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Nides, David Benjamin
  • Cartier, David Phillip
  • Cortes, Hernan Rael
  • Goings, Edward L.
  • Harris, Zachariah Sheldon
  • Marks, Brian John
  • Seyer, Matthew Lewis
  • Silgado, Andrea Sancho

Abrégé

The invention relates to a computer-implemented system and method for automatic collection, analysis and reporting of data relating to a cybersecurity threat. The method may comprise the steps of: presenting an interface through which an executable can be configured and automatically generated; transmitting the executable to a client to enable the client to execute the executable on client systems to automatically collect forensic data; receiving from the client an encrypted data package that includes the forensic data; using a forensic toolset to automatically analyze the forensic data; presenting an option to select one or more of at least two types of output reports designed for different types of readers; inputting the analysis files into an automatic report generator to automatically generate the types of output reports selected by the client; and sending the output reports selected by the client to the client.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • H04L 9/40 - Protocoles réseaux de sécurité

98.

Modular, configurable smart contracts for blockchain transaction processing validations

      
Numéro d'application 17077593
Numéro de brevet 11100502
Statut Délivré - en vigueur
Date de dépôt 2020-10-22
Date de la première publication 2021-08-24
Date d'octroi 2021-08-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Rainey, Steven K.
  • Jarczyk, David Richard
  • Ognjanovic, Nikola G.
  • Leuthaeuser, Noah
  • Pol, Michal
  • Donnelly, Christopher
  • Li, Jenny
  • Jalal, Rafiq Mohamed
  • Rajbanshi, Ashish Lal

Abrégé

The invention relates to systems and methods for providing modular and configurable smart contracts for blockchain applications. The smart contracts may be utilized to retain all transaction attribute values in a world state database of the blockchain-implemented ledger. The systems and methods can further provide for dynamically configurable validation metadata and validation rules for transaction attributes recorded on a blockchain transaction log. The validation metadata and validation rules corresponding to the transaction attributes can be dynamically updated and applied to the transaction attributes to validate or invalidate a transaction.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

99.

Modular, configurable smart contracts for blockchain transactions

      
Numéro d'application 16881157
Numéro de brevet 11100501
Statut Délivré - en vigueur
Date de dépôt 2020-05-22
Date de la première publication 2021-08-24
Date d'octroi 2021-08-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Rainey, Steven K.
  • Jarczyk, David Richard
  • Ognjanovic, Nikola G.
  • Leuthaeuser, Noah
  • Pol, Michal
  • Donnelly, Christopher
  • Li, Jenny
  • Jalal, Rafiq Mohamed
  • Rajbanshi, Ashish Lal

Abrégé

The invention relates to systems and methods for providing modular and configurable smart contracts for blockchain applications. The smart contracts may be utilized to retain all transaction attribute values in a world state database of the blockchain-implemented ledger. The systems and methods can further provide for dynamically configurable validation metadata and validation rules for transaction attributes recorded on a blockchain transaction log. The validation metadata and validation rules corresponding to the transaction attributes can be dynamically updated and applied to the transaction attributes to validate or invalidate a transaction.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

100.

Scalable and advanced analytics computing platform for distributed ledger data and custody solutions

      
Numéro d'application 17233067
Numéro de brevet 11100510
Statut Délivré - en vigueur
Date de dépôt 2021-04-16
Date de la première publication 2021-08-24
Date d'octroi 2021-08-24
Propriétaire KPMG LLP (USA)
Inventeur(s)
  • Wyner, Samuel
  • Ternullo, Salvatore Joseph
  • Atmakur, Shekar
  • Bornatsch, Kevin
  • Rice, Sydney M.

Abrégé

Systems and methods disclosed herein are directed to a scalable and advanced analytics computing platform for distributed ledger data for integrating an entity's legacy systems, distributed ledger systems, and crypto-asset transactions, as well as related metadata. The systems and methods further relate to a custody adapter implementation that enables interactions across multiple custody technology providers, sub-custody providers, and internal custody solutions.

Classes IPC  ?

  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • G06Q 20/06 - Circuits privés de paiement, p. ex. impliquant de la monnaie électronique utilisée uniquement entre les participants à un programme commun de paiement
  • G06Q 20/36 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des portefeuilles électroniques ou coffres-forts électroniques
  • G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
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