QC WARE
DEAD

Serial Number

98103604

Owner

QC Ware Corporation

Attorney

Connie L. Ellerbach, Esq.

Filing Date

Jul 26, 2023

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QC WARE Trademark

Serial Number: 98103604

QC WARE is a trademark filed by QC Ware Corporation on July 26, 2023. The trademark is classified under Class 9 (Computers & Electronics), Class 41 (Education & Entertainment), Class 42 (Computer & Scientific). The application is currently no longer active.

Owner Contact Info

QC Ware Corporation (7 trademarks)

Suite 260
Palo Alto, CA 94301

Entity Type: 03

Trademark Details

Filing Date

July 26, 2023

Registration Date

Not Registered

Published for Opposition

December 5, 2023

Goods & Services

Education services, namely, conducting conferences, classes, workshops, tutorials, and webinars, and providing a website featuring blogs, all the aforesaid in the fields of quantum computing, molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science

Downloadable software used for machine learning; downloadable software using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; downloadable software used for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science

Providing online non-downloadable software using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; providing online non-downloadable software for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science; software as a service (SaaS) services featuring software used for machine learning; software as a services (SaaS) services featuring software using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; software as a service (SaaS) services featuring software used for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science; platform as a service (PaaS) featuring software platforms used for machine learning; platform as a service (PaaS) featuring software platforms using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; platform as a service (PaaS) featuring software platforms used for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science; consulting services in the field of quantum computing, molecular biology, chemistry, medicinal research, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science

Filing History

ABANDONMENT NOTICE E-MAILED - NO USE STATEMENT FILED
Sep 1, 2025 MAB6
ABANDONMENT - NO USE STATEMENT FILED
Sep 1, 2025 ABN6
NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Mar 3, 2025 EXRA
SOU EXTENSION 2 GRANTED
Jan 18, 2025 EX2G
SOU EXTENSION 2 FILED
Jan 17, 2025 EXT2
SOU TEAS EXTENSION RECEIVED
Jan 17, 2025 EEXT
NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Jun 27, 2024 EXRA
SOU EXTENSION 1 GRANTED
Jun 27, 2024 EX1G
SOU EXTENSION 1 FILED
Jun 27, 2024 EXT1
SOU TEAS EXTENSION RECEIVED
Jun 27, 2024 EEXT
NOA E-MAILED - SOU REQUIRED FROM APPLICANT
Jan 30, 2024 NOAM
OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
Dec 5, 2023 NPUB
PUBLISHED FOR OPPOSITION
Dec 5, 2023 PUBO
NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
Nov 15, 2023 NONP
APPROVED FOR PUB - PRINCIPAL REGISTER
Oct 31, 2023 CNSA
EXAMINER'S AMENDMENT ENTERED
Oct 31, 2023 XAEC
NOTIFICATION OF EXAMINERS AMENDMENT E-MAILED
Oct 31, 2023 GNEN
EXAMINERS AMENDMENT E-MAILED
Oct 31, 2023 GNEA
EXAMINERS AMENDMENT -WRITTEN
Oct 31, 2023 CNEA
ASSIGNED TO EXAMINER
Oct 19, 2023 DOCK
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Aug 25, 2023 NWOS
NEW APPLICATION ENTERED
Jul 29, 2023 NWAP