Q2 Software, Inc.

États‑Unis d’Amérique

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Type PI
        Brevet 22
        Marque 7
Juridiction
        États-Unis 21
        International 5
        Europe 2
        Canada 1
Date
Nouveautés (dernières 4 semaines) 1
2026 juillet 1
2026 juin 1
2026 mai 3
2026 (AACJ) 7
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Classe IPC
G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus 4
G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation 4
G06F 16/16 - Opérations sur les fichiers ou les dossiers, p. ex. détails des interfaces utilisateur spécialement adaptées aux systèmes de fichiers 3
G06F 9/46 - Dispositions pour la multiprogrammation 3
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 3
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Statut
En Instance 9
Enregistré / En vigueur 20

1.

SYSTEMS AND METHODS FOR MACHINE LEARNING BASED FRAUD DETECTION IN CHECKS FOR POSITIVE PAY APPLICATIONS

      
Numéro d'application 19421784
Statut En instance
Date de dépôt 2025-12-16
Date de la première publication 2026-07-23
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • De Graaf, Barbara
  • Ravi, Pooja
  • Gascon, Angelica Y.
  • Wagner, Daniel
  • Caroli, Frederico Tommasi
  • Das, Kollol

Abrégé

Systems and methods for machine learning based fraud detection in checks for positive pay applications are provided. Various embodiments of the present technology provide systems and methods for overcoming deficiencies in prior systems, particularly the lack of explainability and high false positive rates. Embodiments extract payee information using a trained model and compares it with issued data. This process generates discrete, explainable matching signals for identified mismatches. A decision learning feature stores human review decisions based on key check identifiers, automatically filtering fraud signals for recurring legitimate transactions. Additionally, image feature clustering techniques are employed to curate robust datasets representative of real-world production data for model training.

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

2.

METHOD, MEDIUM, AND SYSTEM FOR SURFACING RECOMMENDATIONS

      
Numéro d'application 19457415
Statut En instance
Date de dépôt 2026-01-23
Date de la première publication 2026-06-04
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s)
  • Barbour, Jesse Lee
  • Anderson, Adam David
  • Webster, Benjamin Ray
  • Voll, Kristi Lynn
  • Zabel, Stephen John

Abrégé

Embodiments of a system as described herein may receive financial institution product information from a plurality of financial institutions distributed across a computing network. The system may also receive data from the plurality of financial institutions distributed across the computer network and create or update an ontology. A relevance score may be generated for a set of financial institution products which may, in conjunction with a campaign definition provided by a financial institution administrator, be used to associate users with a list of campaigns which may be stored as campaign data. An online banking application at a user device may request campaign data for a user. In response, the system may return campaign data for the user to the online banking application. Using the campaign data, the online banking application may select one or more products to recommend to the user and display content for the selected products on the user device.

Classes IPC  ?

  • G06Q 30/0601 - Commerce électronique [e-commerce]
  • G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus
  • G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
  • G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché

3.

SYMPHONIX

      
Numéro d'application 019365473
Statut En instance
Date de dépôt 2026-05-15
Propriétaire Q2 Software, Inc (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing temporary use of on-line non-downloadable software for loan management for lenders; Providing temporary use of on-line non-downloadable software for lease management for lessors; Software as a service (SAAS) services featuring software for storing, managing, tracking, analyzing, and reporting data in the field of lending, leasing, borrower management and investor management; Software as a service (SAAS) services featuring software for borrower and lessee credit assessments and background checks; Software as a service (SAAS) services featuring software for lender-borrower and lessor-lessee customer relationship management and accessing customer information; Software as a service (SAAS) services featuring software for linking borrowers and lenders and lessors and lessees on an online platform; Software as a service (SAAS) services featuring software for investment management, namely, creating investor profiles and managing investor portfolios; Software as a service (SAAS) services featuring software for facilitating communication among lending and leasing peer professionals; Software as a service (SAAS) services featuring software for computer application customization for lending and leasing services; Design, development, and implementation of software for loan management; Design, development, and implementation of software for lease management; Software as a service (SAAS) services featuring software for lease management services, namely, lease applications and origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes; Software as a service (SAAS) services featuring software for lenders to manage loans, namely, software for loan origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes.

4.

SYMPHONIX

      
Numéro d'application 019365513
Statut En instance
Date de dépôt 2026-05-15
Propriétaire Q2 Software, Inc (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing temporary use of on-line non-downloadable software for loan management for lenders; Providing temporary use of on-line non-downloadable software for lease management for lessors; Software as a service (SAAS) services featuring software for storing, managing, tracking, analyzing, and reporting data in the field of lending, leasing, borrower management and investor management; Software as a service (SAAS) services featuring software for borrower and lessee credit assessments and background checks; Software as a service (SAAS) services featuring software for lender-borrower and lessor-lessee customer relationship management and accessing customer information; Software as a service (SAAS) services featuring software for linking borrowers and lenders and lessors and lessees on an online platform; Software as a service (SAAS) services featuring software for investment management, namely, creating investor profiles and managing investor portfolios; Software as a service (SAAS) services featuring software for facilitating communication among lending and leasing peer professionals; Software as a service (SAAS) services featuring software for computer application customization for lending and leasing services; Design, development, and implementation of software for loan management; Design, development, and implementation of software for lease management; Software as a service (SAAS) services featuring software for lease management services, namely, lease applications and origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes; Software as a service (SAAS) services featuring software for lenders to manage loans, namely, software for loan origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes.

5.

SYSTEMS AND METHODS FOR QUALITY ASSESSMENT FOR LARGE LANGUAGE MODELS (LLMs) BASED ON CONSISTENCY QUANTIFICATION

      
Numéro d'application 19379399
Statut En instance
Date de dépôt 2025-11-04
Date de la première publication 2026-05-14
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Escalante Perez, Maria Alejandra
  • Plouffe, Cameron Christopher Farr
  • Wagner, Daniel

Abrégé

Systems and methods for LLM assessment are disclosed herein. Embodiments may provide a quality assessment of an LLM that is based on the consistency of that LLM. Utilizing response sampling, pairwise similarity, and an uncertainty score, embodiments may measure response consistency, which can be correlated with output quality for an LLM.

Classes IPC  ?

  • G06N 3/10 - Interfaces, langages de programmation ou boîtes à outils de développement logiciel, p. ex. pour la simulation de réseaux neuronaux

6.

SYMPHONIX

      
Numéro de série 99652055
Statut En instance
Date de dépôt 2026-02-13
Propriétaire Q2 Software, Inc. (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing temporary use of on-line non-downloadable software for loan management for lenders; Providing temporary use of on-line non-downloadable software for lease management for lessors; Software as a service (SAAS) services featuring software for storing, managing, tracking, analyzing, and reporting data in the field of lending, leasing, borrower management and investor management; Software as a service (SAAS) services featuring software for borrower and lessee credit assessments and background checks; Software as a service (SAAS) services featuring software for lender-borrower and lessor-lessee customer relationship management and accessing customer information; Software as a service (SAAS) services featuring software for linking borrowers and lenders and lessors and lessees on an online platform; Software as a service (SAAS) services featuring software for investment management, namely, creating investor profiles and managing investor portfolios; Software as a service (SAAS) services featuring software for facilitating communication among lending and leasing peer professionals; Software as a service (SAAS) services featuring software for computer application customization for lending and leasing services; Design, development, and implementation of software for loan management; Design, development, and implementation of software for lease management; Software as a service (SAAS) services featuring software for lease management services, namely, lease applications and origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes; Software as a service (SAAS) services featuring software for lenders to manage loans, namely, software for loan origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes

7.

S SYMPHONIX

      
Numéro de série 99652057
Statut En instance
Date de dépôt 2026-02-13
Propriétaire Q2 Software, Inc. (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing temporary use of on-line non-downloadable software for loan management for lenders; Providing temporary use of on-line non-downloadable software for lease management for lessors; Software as a service (SAAS) services featuring software for storing, managing, tracking, analyzing, and reporting data in the field of lending, leasing, borrower management and investor management; Software as a service (SAAS) services featuring software for borrower and lessee credit assessments and background checks; Software as a service (SAAS) services featuring software for lender-borrower and lessor-lessee customer relationship management and accessing customer information; Software as a service (SAAS) services featuring software for linking borrowers and lenders and lessors and lessees on an online platform; Software as a service (SAAS) services featuring software for investment management, namely, creating investor profiles and managing investor portfolios; Software as a service (SAAS) services featuring software for facilitating communication among lending and leasing peer professionals; Software as a service (SAAS) services featuring software for computer application customization for lending and leasing services; Design, development, and implementation of software for loan management; Design, development, and implementation of software for lease management; Software as a service (SAAS) services featuring software for lease management services, namely, lease applications and origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes; Software as a service (SAAS) services featuring software for lenders to manage loans, namely, software for loan origination, underwriting, funding, servicing, restructuring, diagnostics, payment collection and automation of decision-making processes

8.

SYSTEMS AND METHODS FOR COMPUTER VISION BASED SECURITY USING KNOWLEDGE NETWORKS

      
Numéro d'application 18960855
Statut En instance
Date de dépôt 2024-11-26
Date de la première publication 2025-06-05
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Barbour, Jesse Lee
  • Tsao, Kelly
  • Voll, Kristi Lynn
  • Zabel, Stephen John

Abrégé

Systems and methods for computer vision based security using knowledge networks are disclosed. In particular, embodiments as disclosed herein provide computer vision based image anomaly detection using a distributed knowledge network allowing users to submit knowledge data regarding image anomalies to the computer vision based security system. This knowledge data may be utilized to generate classification pipelines utilizing computer vision based machine learning models that can be utilized to make security determinations.

Classes IPC  ?

  • G06V 10/778 - Apprentissage de profils actif, p. ex. apprentissage en ligne des caractéristiques d’images ou de vidéos
  • 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
  • G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo

9.

Method, medium, and system for surfacing recommendations

      
Numéro d'application 17951222
Numéro de brevet 12572969
Statut Délivré - en vigueur
Date de dépôt 2022-09-23
Date de la première publication 2023-02-02
Date d'octroi 2026-03-10
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Barbour, Jesse Lee
  • Anderson, Adam David
  • Webster, Benjamin Ray
  • Voll, Kristi Lynn
  • Zabel, Stephen John

Abrégé

Embodiments of a system as described herein may receive financial institution product information from a plurality of financial institutions distributed across a computing network. The system may also receive data from the plurality of financial institutions distributed across the computer network and create or update an ontology. A relevance score may be generated for a set of financial institution products which may, in conjunction with a campaign definition provided by a financial institution administrator, be used to associate users with a list of campaigns which may be stored as campaign data. An online banking application at a user device may request campaign data for a user. In response, the system may return campaign data for the user to the online banking application. Using the campaign data, the online banking application may select one or more products to recommend to the user and display content for the selected products on the user device.

Classes IPC  ?

  • G06Q 30/00 - Commerce
  • G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus
  • G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
  • G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché
  • G06Q 30/0601 - Commerce électronique [e-commerce]

10.

SYSTEM AND METHOD FOR NETWORK SECURITY BASED ON A USER'S COMPUTER NETWORK ACTIVITY DATA

      
Numéro d'application 17685109
Statut En instance
Date de dépôt 2022-03-02
Date de la première publication 2022-06-16
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Barbour, Jesse
  • Anderson, Adam David
  • Seale, Iii, Robert Henry

Abrégé

Systems and methods for implementing network security are disclosed. These systems and methods may identify anomalous computer network activity in an online networked environment based on computer network data associated with a user's activity.

Classes IPC  ?

  • G06Q 40/02 - Opérations bancaires, p. ex. calcul d'intérêts ou tenue de compte
  • 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

11.

System and method for information retrieval for noisy data

      
Numéro d'application 17543469
Numéro de brevet 11640417
Statut Délivré - en vigueur
Date de dépôt 2021-12-06
Date de la première publication 2022-04-14
Date d'octroi 2023-05-02
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s) Barbour, Jesse Lee

Abrégé

Embodiments of systems and methods for information retrieval are disclosed. Embodiments of such systems and methods may perform information retrieval based on a language model that is used to generate a single vector for the search terms of a query. Similarly, a single vector representation of each of the data records to be searched is obtained and the single vector representing the search terms of the query compared to the single vector of each data record to determine a similarity metric. The resulting similarity metrics associated with each of the data records can be used to rank, present or return one or more data records.

Classes IPC  ?

  • G06F 7/00 - Procédés ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données maniées
  • G06F 16/33 - Requêtes
  • G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
  • G06F 16/31 - IndexationStructures de données à cet effetStructures de stockage
  • G06F 16/16 - Opérations sur les fichiers ou les dossiers, p. ex. détails des interfaces utilisateur spécialement adaptées aux systèmes de fichiers
  • G06F 16/387 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p. ex. la localisation

12.

System and method for process and data observation in a networked service environment

      
Numéro d'application 17322255
Numéro de brevet 11893415
Statut Délivré - en vigueur
Date de dépôt 2021-05-17
Date de la première publication 2021-12-16
Date d'octroi 2024-02-06
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Blue, Adam David
  • Berhane, Theodor Getu
  • Coyne, Thomas

Abrégé

Embodiments as disclosed herein provide computing systems and methods that effectively serve to isolate processes in a computing environment. The isolation of such processes may serve additionally to substantially increase the observability of such processes, allowing a granular insight into data associated with those processes and the performing of individual tasks.

Classes IPC  ?

  • G06F 9/46 - Dispositions pour la multiprogrammation
  • G06F 9/48 - Lancement de programmes Commutation de programmes, p. ex. par interruption

13.

System and method for process and data isolation in a networked service environment

      
Numéro d'application 17322244
Numéro de brevet 12159163
Statut Délivré - en vigueur
Date de dépôt 2021-05-17
Date de la première publication 2021-12-16
Date d'octroi 2024-12-03
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Blue, Adam David
  • Berhane, Theodor Getu
  • Coyne, Thomas

Abrégé

Embodiments as disclosed herein provide computing systems and methods that effectively serve to isolate processes in a computing environment. The isolation of such processes may serve additionally to substantially increase the observability of such processes, allowing a granular insight into data associated with those processes and the performing of individual tasks.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes Commutation de programmes, p. ex. par interruption
  • G06F 9/46 - Dispositions pour la multiprogrammation

14.

SYSTEM AND METHOD FOR PROCESS AND DATA ISOLATION IN A NETWORKED SERVICE ENVIRONMENT

      
Numéro d'application US2021032745
Numéro de publication 2021/252147
Statut Délivré - en vigueur
Date de dépôt 2021-05-17
Date de publication 2021-12-16
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s)
  • Blue, Adam David
  • Berhane, Theodor Getu
  • Coyne, Thomas

Abrégé

Embodiments as disclosed herein provide computing systems and methods that effectively serve to isolate processes in a computing environment. The isolation of such processes may serve additionally to substantially increase the observability of such processes, allowing a granular insight into data associated with those processes and the performing of individual tasks.

Classes IPC  ?

  • G06F 9/44 - Dispositions pour exécuter des programmes spécifiques
  • G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
  • G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p. ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié
  • G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée

15.

HELIX

      
Numéro de série 97055207
Statut Enregistrée
Date de dépôt 2021-09-30
Date d'enregistrement 2023-04-04
Propriétaire Q2 Software, Inc. ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Platform as a service (PaaS) featuring software platforms provided to others for providing backend computer services and application programming interfaces (APIs) for the banking industry; providing temporary use of on-line non-downloadable software for banking as a service; application service provider featuring software provided to others for enabling banking applications; application service provider featuring application programming interface (API) software for banking applications, namely, API software for providing backend banking functionality; platform as a service (PaaS) featuring software that provides development tools for the banking industry for enabling software applications to access and utilize backend services, namely, data storage, data management, payment services, and user management; Software as a service (SaaS) services featuring software for the banking industry, namely, software for user onboarding, financial account setup and management, payment processing, credit card issuance, and system management

16.

Single-page web application builder system and method based on a finite-state machine

      
Numéro d'application 17075978
Numéro de brevet 11321057
Statut Délivré - en vigueur
Date de dépôt 2020-10-21
Date de la première publication 2021-02-25
Date d'octroi 2022-05-03
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Wu, Min
  • Saini, Darpan
  • Periwal, Sneha

Abrégé

Declarative Single Page Web Application (SPA) builder system and method are used to build complex, fully functional SPA without undue coding. A SPA builder contains a set of rules that facilitate the building of a SPA. The set of rules in the SPA builder includes a set of user interface elements and a finite state machine model with a set of data dependency rules, a set of user interface rendering rules, and a set of action execution data flow rules. The SPA builder also utilizes mock data that allows user to build and verify user interaction flows of the SPA at design time.

Classes IPC  ?

  • G06F 8/34 - Programmation graphique ou visuelle
  • G06F 8/38 - Création ou génération de code source pour la mise en œuvre d'interfaces utilisateur
  • G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
  • G06F 8/35 - Création ou génération de code source fondée sur un modèle
  • G06F 16/23 - Mise à jour

17.

SYSTEM AND METHOD FOR INFORMATION RETRIEVAL FOR NOISY DATA

      
Numéro de document 03139312
Statut Délivré - en vigueur
Date de dépôt 2020-05-29
Date de disponibilité au public 2020-12-03
Date d'octroi 2025-12-02
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s) Barbour, Jesse Lee

Abrégé

Embodiments of systems and methods for information retrieval are disclosed. Embodiments of such systems and methods may perform information retrieval based on a language model that is used to generate a single vector for the search terms of a query. Similarly, a single vector representation of each of the data records to be searched is obtained and the single vector representing the search terms of the query compared to the single vector of each data record to determine a similarity metric. The resulting similarity metrics associated with each of the data records can be used to rank, present or return one or more data records.

Classes IPC  ?

18.

System and method for information retrieval for noisy data

      
Numéro d'application 16883623
Numéro de brevet 11226998
Statut Délivré - en vigueur
Date de dépôt 2020-05-26
Date de la première publication 2020-12-03
Date d'octroi 2022-01-18
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s) Barbour, Jesse Lee

Abrégé

Embodiments of systems and methods for information retrieval are disclosed. Embodiments of such systems and methods may perform information retrieval based on a language model that is used to generate a single vector for the search terms of a query. Similarly, a single vector representation of each of the data records to be searched is obtained and the single vector representing the search terms of the query compared to the single vector of each data record to determine a similarity metric. The resulting similarity metrics associated with each of the data records can be used to rank, present or return one or more data records.

Classes IPC  ?

  • G06F 7/00 - Procédés ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données maniées
  • G06F 16/33 - Requêtes
  • G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
  • G06F 16/31 - IndexationStructures de données à cet effetStructures de stockage
  • G06F 16/16 - Opérations sur les fichiers ou les dossiers, p. ex. détails des interfaces utilisateur spécialement adaptées aux systèmes de fichiers
  • G06F 16/387 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p. ex. la localisation

19.

SYSTEM AND METHOD FOR INFORMATION RETRIEVAL FOR NOISY DATA

      
Numéro d'application US2020035131
Numéro de publication 2020/243437
Statut Délivré - en vigueur
Date de dépôt 2020-05-29
Date de publication 2020-12-03
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s) Barbour, Jesse Lee

Abrégé

Embodiments of systems and methods for information retrieval are disclosed. Embodiments of such systems and methods may perform information retrieval based on a language model that is used to generate a single vector for the search terms of a query. Similarly, a single vector representation of each of the data records to be searched is obtained and the single vector representing the search terms of the query compared to the single vector of each data record to determine a similarity metric. The resulting similarity metrics associated with each of the data records can be used to rank, present or return one or more data records.

Classes IPC  ?

  • G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
  • G10L 15/00 - Reconnaissance de la parole

20.

METHOD AND SYSTEM FOR AUTOMATING WEB PROCESSES UTILIZING AN ABSTRACTABLE UNDERLYING PLATFORM LAYER

      
Numéro d'application US2019039235
Numéro de publication 2020/006076
Statut Délivré - en vigueur
Date de dépôt 2019-06-26
Date de publication 2020-01-02
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s)
  • Weinert Jr., Scott Nielsen
  • Hill, Sean Michael
  • Doromal, Kris Golez

Abrégé

Embodiments as disclosed provide improved RPA systems and methods that utilize a set of reusable modules. These modules may include an associated set of configurable parameters and be associated with instructions for a browser automation platform. An RPA application to accomplish a task at a target website is built using these modules. The RPA application may be executed at the RPA system using an instance of a browser. The RPA application can be executed by evaluating an identified module of the RPA application based on the configuration parameters to determine instructions for a browser automation platform for the identified module. These browser automation platform instructions can then be provided to the browser automation platform to execute against the browser instance.

Classes IPC  ?

  • G06F 16/16 - Opérations sur les fichiers ou les dossiers, p. ex. détails des interfaces utilisateur spécialement adaptées aux systèmes de fichiers
  • G06F 16/34 - NavigationVisualisation à cet effet
  • G06F 16/958 - Organisation ou gestion de contenu de sites Web, p. ex. publication, conservation de pages ou liens automatiques

21.

Method, medium, and system for surfacing recommendations

      
Numéro d'application 16506365
Numéro de brevet 11488225
Statut Délivré - en vigueur
Date de dépôt 2019-07-09
Date de la première publication 2019-10-31
Date d'octroi 2022-11-01
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s)
  • Barbour, Jesse Lee
  • Anderson, Adam David
  • Webster, Benjamin Ray
  • Voll, Kristi Lynn
  • Zabel, Stephen John

Abrégé

Embodiments of a system as described herein may receive financial institution product information from a plurality of financial institutions distributed across a computing network. The system may also receive data from the plurality of financial institutions distributed across the computer network and create or update an ontology. A relevance score may be generated for a set of financial institution products which may, in conjunction with a campaign definition provided by a financial institution administrator, be used to associate users with a list of campaigns which may be stored as campaign data. An online banking application at a user device may request campaign data for a user. In response, the system may return campaign data for the user to the online banking application. Using the campaign data, the online banking application may select one or more products to recommend to the user and display content for the selected products on the user device.

Classes IPC  ?

  • G06Q 30/00 - Commerce
  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
  • G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
  • G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus
  • G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation

22.

SINGLE-PAGE WEB APPLICATION BUILDER SYSTEM AND METHOD BASED ON A FINITE-STATE MACHINE

      
Numéro d'application US2019015699
Numéro de publication 2019/148196
Statut Délivré - en vigueur
Date de dépôt 2019-01-29
Date de publication 2019-08-01
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s)
  • Wu, Min
  • Saini, Darpan
  • Periwal, Sneha

Abrégé

The declarative Single Page Web Application (SPA) builder system and method can be used to build complex, fully functional SPA without undue coding. The SPA builder contains a set of rules that facilitate the building of a SPA. The set of rules in the SPA builder may include a set of user interface elements and a finite state machine model with a set of data dependency rules, a set of user interface rendering rules, and a set of action execution data flow rules. The SPA builder may also utilize mock data that allows the user to build and verify the user interaction flows of the SPA at design time.

Classes IPC  ?

  • G06F 9/44 - Dispositions pour exécuter des programmes spécifiques
  • G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
  • G06F 9/46 - Dispositions pour la multiprogrammation
  • G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p. ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
  • G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet

23.

Single-page web application builder system and method based on a finite-state machine

      
Numéro d'application 15882780
Numéro de brevet 10846060
Statut Délivré - en vigueur
Date de dépôt 2018-01-29
Date de la première publication 2019-08-01
Date d'octroi 2020-11-24
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Wu, Min
  • Saini, Darpan
  • Periwal, Sneha

Abrégé

The declarative Single Page Web Application (SPA) builder system and method can be used to build complex, fully functional SPA without undue coding. The SPA builder contains a set of rules that facilitate the building of a SPA. The set of rules in the SPA builder may include a set of user interface elements and a finite state machine model with a set of data dependency rules, a set of user interface rendering rules, and a set of action execution data flow rules. The SPA builder may also utilize mock data that allows the user to build and verify the user interaction flows of the SPA at design time.

Classes IPC  ?

  • G06F 8/34 - Programmation graphique ou visuelle
  • G06F 8/38 - Création ou génération de code source pour la mise en œuvre d'interfaces utilisateur
  • G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
  • G06F 8/35 - Création ou génération de code source fondée sur un modèle
  • G06F 16/23 - Mise à jour

24.

CARDSWAP

      
Numéro de série 87803891
Statut Enregistrée
Date de dépôt 2018-02-20
Date d'enregistrement 2018-10-09
Propriétaire Q2 Software, Inc. ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing on-line non-downloadable computer software for entering debit and credit card information for a consumer's subscriptions and at digital points of sale

25.

GRO

      
Numéro de série 87442808
Statut Enregistrée
Date de dépôt 2017-05-09
Date d'enregistrement 2017-12-26
Propriétaire Q2 SOFTWARE, INC. ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Software as a service (SAAS) services featuring software for opening multiple financial and banking application accounts based on a single application; Software as a service (SAAS) services featuring software for opening financial and banking application accounts; Software as a service (SAAS) services featuring software for integration of wireless carrier data into the financial account opening process; Software as a service (SAAS) services featuring software for use in opening new financial and banking application accounts by using layered data collection to auto-populate fields

26.

Method, medium, and system for surfacing recommendations

      
Numéro d'application 15241907
Numéro de brevet 10387939
Statut Délivré - en vigueur
Date de dépôt 2016-08-19
Date de la première publication 2017-02-23
Date d'octroi 2019-08-20
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Barbour, Jesse Lee
  • Anderson, Adam David
  • Webster, Benjamin Ray
  • Voll, Kristi Lynn
  • Zabel, Stephen John

Abrégé

Embodiments of a system as described herein may receive financial institution product information from a plurality of financial institutions distributed across a computing network. The system may also receive data from the plurality of financial institutions distributed across the computer network and create or update an ontology. A relevance score may be generated for a set of financial institution products which may, in conjunction with a campaign definition provided by a financial institution administrator, be used to associate users with a list of campaigns which may be stored as campaign data. An online banking application at a user device may request campaign data for a user. In response, the system may return campaign data for the user to the online banking application. Using the campaign data, the online banking application may select one or more products to recommend to the user and display content for the selected products on the user device.

Classes IPC  ?

  • G06Q 30/00 - Commerce
  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
  • G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
  • G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
  • G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus

27.

SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR REAL-TIME ONLINE TRANSACTION RISK AND FRAUD ANALYTICS AND MANAGEMENT

      
Numéro d'application US2011056847
Numéro de publication 2012/058066
Statut Délivré - en vigueur
Date de dépôt 2011-10-19
Date de publication 2012-05-03
Propriétaire Q2 SOFTWARE, INC. (USA)
Inventeur(s)
  • Barbour, Jesse
  • Anderson, Adam, D.
  • Seale, Robert, Henry, Iii

Abrégé

Embodiments disclosed herein provide a behavioral based solution to user identity validation, useful in real-time detection of abnormal activity while a user is engaged in an online transaction with a financial institution. A risk modeling system may run two distinct environments: one to train machine learning algorithms to produce classification objects and another to score user activities in real-time using these classification objects. In both environments, activity data collected on a particular user is mapped to various behavioral models to produce atomic elements that can be scored. Classifiers may be dynamically updated in response to new behavioral activities. Example user activities may include login, transactional, and traverse. In some embodiments, depending upon configurable settings with respect to sensitivity and/or specificity, detection of an abnormal activity or activities may not trigger a flag- and-notify unless an attempt is made to move or transfer money.

Classes IPC  ?

  • G06Q 99/00 - Matière non couverte par les autres groupes de la présente sous-classe

28.

Method and system for an inter-financial institution transactional network

      
Numéro d'application 12754876
Numéro de brevet 08359266
Statut Délivré - en vigueur
Date de dépôt 2010-04-06
Date de la première publication 2010-08-12
Date d'octroi 2013-01-22
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Seale, Iii, Robert Henry
  • Flagg, Anthony M.
  • Clay, James C.
  • Anderson, Adam D.

Abrégé

Systems and methods for conducting transactions across financial institutions are presented. More specifically, in one embodiment a financial transaction center may be provided such that transactions may be coordinated and controlled utilizing the financial transaction center. The financial transaction center may determine a financial institution associated received requests and issue requests to financial institutions. By coordinating the fulfillment of transactions between financial institutions through the financial transaction center a level of abstraction may be introduced whereby transactions may be conducted across financial intuitions without knowledge of host systems at the financial institutions or overly compromising the privacy or security of these host systems.

Classes IPC  ?

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

29.

Method and system for an inter-financial institution transactional network

      
Numéro d'application 11872914
Numéro de brevet 07711641
Statut Délivré - en vigueur
Date de dépôt 2007-10-16
Date de la première publication 2010-05-04
Date d'octroi 2010-05-04
Propriétaire Q2 Software, Inc. (USA)
Inventeur(s)
  • Seale, Iii, Robert Henry
  • Flagg, Anthony M.
  • Clay, James C.
  • Anderson, Adam D.

Abrégé

Systems and methods for conducting transactions across financial institutions are presented. More specifically, in one embodiment a financial transaction center may be provided such that transactions may be coordinated and controlled utilizing the financial transaction center. The financial transaction center may determine a financial institution associated received requests and issue requests to financial institutions. By coordinating the fulfillment of transactions between financial institutions through the financial transaction center a level of abstraction may be introduced whereby transactions may be conducted across financial intuitions without knowledge of host systems at the financial institutions or overly compromising the privacy or security of these host systems.

Classes IPC  ?

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