MAGELLAN
Open Text Sa Ulc
Application Filed: 2016-04-15
Trademark Application Details
Mark For: MAGELLAN® trademark registration is intended to cover the categories of
The trademark application has been registered with the Office.
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Acronym Finder
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| Serial Number | 87002592 |
| Registration Number | 5891558 |
| Mark Literal Elements | MAGELLAN |
| Mark Drawing Type | 4 - STANDARD CHARACTER MARK |
| Mark Type | Trademark, Service Mark |
| Current Location | PUBLICATION AND ISSUE SECTION 2019-09-19 |
| Basis | 1(a) |
| Class Status | ACTIVE |
| Primary US Classes |
|
| Primary International Class |
|
| Filed Use | No |
| Current Use | Yes |
| Intent To Use | No |
| Filed ITU | Yes |
| 44D Filed | No |
| 44E Current | No |
| 66A Current | No |
| Current Basis | No |
| No Basis | No |
| Attorney Name | Charles P. Bacall |
| Attorney Docket Number | 42654-2625 |
| Law Office Assigned | N60 |
| Employee Name | RIEPEL, CHRISTINA MAXI |
Timeline
| 2016-04-15 | Application Filed |
| 2017-07-11 | Date of First Use |
| 2017-09-29 | Date of Use In Commerce |
| 2017-10-17 | Published |
| 2017-10-17 | Published for Opposition |
| 2019-09-19 | Location: PUBLICATION AND ISSUE SECTION |
| 2019-10-22 | Status: Live/Registered |
| 2019-10-22 | Status: Registered. The registration date is used to determine when post-registration maintenance documents are due. |
| 2019-10-22 | Trademark Registered |
| 2019-10-22 | Transaction Date |
| 2024-10-22 | Maintenance Early File Date |
| 2025-10-22 | Maintenance On Time Date |
| 2026-04-22 | Maintenance Late Fee Date |
Trademark Parties (Applicants & Owners)
| Party: |  OPEN TEXT SA ULC |
| Address | 1959 UPPER WATER STREET SUITE 900 HALIFAX NS CANADA B3J 2X2 |
| Legal Entity Type | Corporation |
| Legal Entity State | CANADA |
Documents
DrawingAttorney of Record
Good, Services, and Codes
| International Codes: | 9 |
| U.S. Codes: | 021,023,026,036,038 |
| International Codes: | 35 |
| U.S. Codes: | 100,101,102 |
| International Codes: | 42 |
| U.S. Codes: | 100,101 |
| Type Code | Type |
|---|---|
| GS0091 | Computer operating software; software for use in the collection, integration, curation, evaluation, and analysis of data utilizing natural language processing, computational linguistics, information retrieval, data analytics, and machine learning; instruction manuals sold as a unit with computer programs; all of the foregoing relating specifically to cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; software for cognitive computing and data-driven analytics; software featuring data analytics and machine learning tools for acquiring, processing, sorting and analyzing information, data and content; software for use in cognitive computing for retrieving, tracking, evaluating, integrating and analyzing data; software for sharing datasets for the purpose of delivering automated decision support, data modeling, machine learning, predictive analytics, automated reasoning, diagnostics, optimization and recommendation services; software for use in cognitive computing which utilizes digital information for information management over on-premises and off-premises networks for business-to-business integration, analytics, cloud services, archive services, business process management, content management, search, and messaging; software for use in connecting disparate computer networks and systems, servers and storage devices; software for cognitive computing technologies in the nature of computer hardware and software that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; software for reporting, processing, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, cognitive computing, and predictive analytics all in the field of information management; software that provides real-time, integrated cognitive predictive analytics management intelligence by combining information and data and presenting it in an easy-to-understand user interface; software to manage, analyze, retrieve, monitor, maintain, report on, structure, model, forecast, present and display data and information from computer databases, applications and the internet; software to manage, monitor, track and organize data used in connection with predictive intelligence software; software for use in cognitive computing intelligence analytics, modeling, planning, forecasting, reporting, interactive visualization, and predictive analysis; software for data mining, data query, data analysis, and narrative generation used in the field of information, data and content management; software and tools in the nature of software development tools for building and deploying intelligent assistants, electronic advisors, and digital workers, in the field of cognitive computing; software for machine learning and statistical analysis; software for data analysis, machine learning, data processing, analysis and storage, cognitive computing and predictive analytics related to structured and unstructured data; cognitive computing technologies in the nature of computer hardware and software that provide for machine-to-machine (M2M) interactions, communications and collaborative cognition; cognitive computing technologies in the nature of computer hardware and software that provide for human-to-machine interactions, communications and collaborative cognition; cognitive computing technologies in the nature of computer hardware and software that provide for cognitive automation and cognitive automation systems for messaging; cognitive computing technologies, in the nature of computer hardware and software to support machine-to-machine (M2M) interactions, communications, remote data collection and process control; cognitive computing technologies, in the nature of computer hardware and software to support natural user interface solutions; cognitive computing technologies in the nature of computer hardware and software to enhance the automation of infrastructure operations across computers, networks and storage devices; cognitive computing technologies in the nature of computer hardware and software to support cognitive automation capabilities of IT infrastructure and services; cognitive computing technologies in the nature of computer hardware and software to support cognitive automation of production systems; cognitive computing, namely, software to automate and augment processes across a broad range of functions; cognitive computing technologies, in the nature of computer hardware, software and systems for accelerating and scaling operational and management expertise; cognitive computing technologies, in the nature of computer hardware and software that provide for cognitive enhancement in respect of experience and productivity, accelerating processes, automation and autonomy; cognitive computing technologies in the nature of computer hardware and software that support immersive cognitive systems; cognitive computing technologies, in the nature of computer hardware and software that provide for digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, integrated robotic process automation, automated software development operations, automated testing, automated IT infrastructure management, and automated data center operations; cognitive computing technologies, in the nature of computer hardware and software which enable machine learning, natural language processing, learning algorithms, semantic ontologies, pattern recognition and knowledge modelling technologies; software for developing and running portable, scalable cognitive systems; downloadable cloud-based computer software that collects, analyzes, stores, retrieves, filters, processes, reproduces and transmits machine-to-machine (M2M) data from connected devices and integrates machine-to-machine (M2M) data with web and mobile application software; software for developing, installing, configuring, monitoring and managing machine-to-machine (M2M) applications; software for machine-to-machine (M2M) networks for data connectivity and integration, device management, configuration, provisioning, management, and control; software for controlling, viewing, accessing, browsing and utilizing global computer and communication networks and for business-process optimization; software for supporting a natural user interface to an operating system relating to compilers, programming languages, databases, networking and communications, artificial intelligence, and brain and body characteristics; analytics software for collecting and analyzing information, data and content to facilitate information, data and content management; software that provides for predictive data analytics, data processing, analysis and visualization, and data mining from disparate data sources and for providing automated solutions to enable organizations to integrate disparate data; software for use in data analytics, namely, for storing, managing and analyzing structured, semi-structured and unstructured data and for performing advanced analysis and modeling of diverse multi-structured data, building data software applications, and performing complex large scale analytics on data; software for searching, identifying, collecting, aggregating, filtering, ranking, processing, merging, visualizing, storing, sharing, managing, reporting and analyzing data in batch mode or real time, and for enabling users to access, view, analyze, share and report data from multiple sources; software for storing, querying, and sharing functionality for management of multi-dimensional data sets, machine learning algorithms, predictive models, facts and dimensions, and digital traces; software for managing machine-to-machine (M2M) and internet of things (IoT) communications and interactions; software for providing machine-to-machine (M2M) and internet of things (IoT) communication integration services, namely, the integration of disparate computer systems, networks, hardware and software through the application of wireless communication technology to facilitate M2M and IoT communication via web based browsers, personal digital assistants, mobile phones, embedded microprocessors, sensors and other electronic devices |
| GS0091 | Computer operating software; software for use in the collection, integration, curation, evaluation, and analysis of data utilizing natural language processing, computational linguistics, information retrieval, data analytics, and machine learning; instruction manuals sold as a unit with computer programs; all of the foregoing relating specifically to cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; software for cognitive computing and data-driven analytics; software featuring data analytics and machine learning tools for acquiring, processing, sorting and analyzing information, data and content; software for use in cognitive computing for retrieving, tracking, evaluating, integrating and analyzing data; software for sharing datasets for the purpose of delivering automated decision support, data modeling, machine learning, predictive analytics, automated reasoning, diagnostics, optimization and recommendation services; software for use in cognitive computing which utilizes digital information for information management over on-premises and off-premises networks for business-to-business integration, analytics, cloud services, archive services, business process management, content management, search, and messaging; software for use in connecting disparate computer networks and systems, servers and storage devices; software for cognitive computing technologies in the nature of computer hardware and software that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; software for reporting, processing, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, cognitive computing, and predictive analytics all in the field of information management; software that provides real-time, integrated cognitive predictive analytics management intelligence by combining information and data and presenting it in an easy-to-understand user interface; software to manage, analyze, retrieve, monitor, maintain, report on, structure, model, forecast, present and display data and information from computer databases, applications and the internet; software to manage, monitor, track and organize data used in connection with predictive intelligence software; software for use in cognitive computing intelligence analytics, modeling, planning, forecasting, reporting, interactive visualization, and predictive analysis; software for data mining, data query, data analysis, and narrative generation used in the field of information, data and content management; software and tools in the nature of software development tools for building and deploying intelligent assistants, electronic advisors, and digital workers, in the field of cognitive computing; software for machine learning and statistical analysis; software for data analysis, machine learning, data processing, analysis and storage, cognitive computing and predictive analytics related to structured and unstructured data; cognitive computing technologies in the nature of computer hardware and software that provide for machine-to-machine (M2M) interactions, communications and collaborative cognition; cognitive computing technologies in the nature of computer hardware and software that provide for human-to-machine interactions, communications and collaborative cognition; cognitive computing technologies in the nature of computer hardware and software that provide for cognitive automation and cognitive automation systems for messaging; cognitive computing technologies, in the nature of computer hardware and software to support machine-to-machine (M2M) interactions, communications, remote data collection and process control; cognitive computing technologies, in the nature of computer hardware and software to support natural user interface solutions; cognitive computing technologies in the nature of computer hardware and software to enhance the automation of infrastructure operations across computers, networks and storage devices; cognitive computing technologies in the nature of computer hardware and software to support cognitive automation capabilities of IT infrastructure and services; cognitive computing technologies in the nature of computer hardware and software to support cognitive automation of production systems; cognitive computing, namely, software to automate and augment processes across a broad range of functions; cognitive computing technologies, in the nature of computer hardware, software and systems for accelerating and scaling operational and management expertise; cognitive computing technologies, in the nature of computer hardware and software that provide for cognitive enhancement in respect of experience and productivity, accelerating processes, automation and autonomy; cognitive computing technologies in the nature of computer hardware and software that support immersive cognitive systems; cognitive computing technologies, in the nature of computer hardware and software that provide for digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, integrated robotic process automation, automated software development operations, automated testing, automated IT infrastructure management, and automated data center operations; cognitive computing technologies, in the nature of computer hardware and software which enable machine learning, natural language processing, learning algorithms, semantic ontologies, pattern recognition and knowledge modelling technologies; software for developing and running portable, scalable cognitive systems; downloadable cloud-based computer software that collects, analyzes, stores, retrieves, filters, processes, reproduces and transmits machine-to-machine (M2M) data from connected devices and integrates machine-to-machine (M2M) data with web and mobile application software; software for developing, installing, configuring, monitoring and managing machine-to-machine (M2M) applications; software for machine-to-machine (M2M) networks for data connectivity and integration, device management, configuration, provisioning, management, and control; software for controlling, viewing, accessing, browsing and utilizing global computer and communication networks and for business-process optimization; software for supporting a natural user interface to an operating system relating to compilers, programming languages, databases, networking and communications, artificial intelligence, and brain and body characteristics; analytics software for collecting and analyzing information, data and content to facilitate information, data and content management; software that provides for predictive data analytics, data processing, analysis and visualization, and data mining from disparate data sources and for providing automated solutions to enable organizations to integrate disparate data; software for use in data analytics, namely, for storing, managing and analyzing structured, semi-structured and unstructured data and for performing advanced analysis and modeling of diverse multi-structured data, building data software applications, and performing complex large scale analytics on data; software for searching, identifying, collecting, aggregating, filtering, ranking, processing, merging, visualizing, storing, sharing, managing, reporting and analyzing data in batch mode or real time, and for enabling users to access, view, analyze, share and report data from multiple sources; software for storing, querying, and sharing functionality for management of multi-dimensional data sets, machine learning algorithms, predictive models, facts and dimensions, and digital traces; software for managing machine-to-machine (M2M) and internet of things (IoT) communications and interactions; software for providing machine-to-machine (M2M) and internet of things (IoT) communication integration services, namely, the integration of disparate computer systems, networks, hardware and software through the application of wireless communication technology to facilitate M2M and IoT communication via web based browsers, personal digital assistants, mobile phones, embedded microprocessors, sensors and other electronic devices |
Assignments
| Description | Date |
|---|---|
 Trademark Assignment 6675-0920 [3 Pages] | 2019-06-21 |
| Trademark Assignment 6679-0407 [3 Pages] | 2019-06-20 |
| Trademark Assignment 6673-0173 [14 Pages] | 2019-06-19 |
Trademark Filing History
| Description | Date | Proceeding Number |
|---|---|---|
| REGISTERED-PRINCIPAL REGISTER | 2019-10-22 | |
| NOTICE OF ACCEPTANCE OF STATEMENT OF USE E-MAILED | 2019-09-20 | |
| STATEMENT OF USE PROCESSING COMPLETE | 2019-09-19 | |
| CASE ASSIGNED TO INTENT TO USE PARALEGAL | 2019-09-19 | |
| ALLOWED PRINCIPAL REGISTER - SOU ACCEPTED | 2019-09-19 | |
| USE AMENDMENT FILED | 2019-08-26 | |
| TEAS STATEMENT OF USE RECEIVED | 2019-08-26 | |
| ASSIGNMENT OF OWNERSHIP NOT UPDATED AUTOMATICALLY | 2019-07-03 | |
| AUTOMATIC UPDATE OF ASSIGNMENT OF OWNERSHIP | 2019-06-26 | |
| NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED | 2019-06-13 | |
| SOU TEAS EXTENSION RECEIVED | 2019-06-11 | |
| SOU EXTENSION 3 GRANTED | 2019-06-11 | |
| SOU EXTENSION 3 FILED | 2019-06-11 | |
| NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED | 2018-12-13 | |
| SOU TEAS EXTENSION RECEIVED | 2018-12-11 | |
| SOU EXTENSION 2 GRANTED | 2018-12-11 | |
| SOU EXTENSION 2 FILED | 2018-12-11 | |
| NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED | 2018-05-31 | |
| SOU TEAS EXTENSION RECEIVED | 2018-05-29 | |
| SOU EXTENSION 1 GRANTED | 2018-05-29 | |
| SOU EXTENSION 1 FILED | 2018-05-29 | |
| NOA E-MAILED - SOU REQUIRED FROM APPLICANT | 2017-12-12 | |
| PUBLISHED FOR OPPOSITION | 2017-10-17 | |
| OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED | 2017-10-17 | |
| NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED | 2017-09-27 | |
| TEAS/EMAIL CORRESPONDENCE ENTERED | 2017-09-08 | |
| TEAS REQUEST FOR RECONSIDERATION RECEIVED | 2017-09-08 | |
| CORRESPONDENCE RECEIVED IN LAW OFFICE | 2017-09-08 | |
| APPROVED FOR PUB - PRINCIPAL REGISTER | 2017-09-08 | |
| NOTIFICATION OF FINAL REFUSAL EMAILED | 2017-03-12 | |
| FINAL REFUSAL WRITTEN | 2017-03-12 | |
| FINAL REFUSAL E-MAILED | 2017-03-12 | |
| TEAS/EMAIL CORRESPONDENCE ENTERED | 2017-02-11 | |
| TEAS RESPONSE TO OFFICE ACTION RECEIVED | 2017-02-10 | |
| CORRESPONDENCE RECEIVED IN LAW OFFICE | 2017-02-10 | |
| NOTIFICATION OF NON-FINAL ACTION E-MAILED | 2016-08-10 | |
| NON-FINAL ACTION WRITTEN | 2016-08-10 | |
| NON-FINAL ACTION E-MAILED | 2016-08-10 | |
| ASSIGNED TO EXAMINER | 2016-08-01 | |
| NEW APPLICATION OFFICE SUPPLIED DATA ENTERED | 2016-04-20 | |
| NEW APPLICATION ENTERED | 2016-04-19 |
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