NEURAL CONCEPT
LIVE

Serial Number

98120743

Owner

Neural Concept SA

Attorney

Samantha C. Markley

First Use Date

Jun 11, 2018

Filing Date

Aug 7, 2023

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NEURAL CONCEPT Trademark

Serial Number: 98120743 • Registration: 8264200

NEURAL CONCEPT is a trademark filed by Neural Concept SA on August 7, 2023. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific), Class 45 (Legal & Security Services). The application is currently registered and active.

Owner Contact Info

Neural Concept SA (2 trademarks)

EPFL Innovations Park, Bâtiment A
Lausanne 1015 , CH

Entity Type: 99

Trademark Details

Filing Date

August 7, 2023

Registration Date

May 19, 2026

First Use Anywhere

June 11, 2018

First Use in Commerce

February 7, 2019

Published for Opposition

July 30, 2024

Goods & Services

Software licensing; intellectual property licensing in the fields of trademarks, copyrights and patents

Computer hardware and software design and development; cloud computing featuring software for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; computer programming services; computer software consulting; computer software development; computer systems design; computer technology consulting services; computer software leasing, namely, leasing of computer programs for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; computer platform development; computer software installation; computer software maintenance; computer platform as a service (PAAS) featuring computer software platforms for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; software as a service featuring software for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; software development in the framework of software publishing; computer software updating

Downloadable computer programs for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; recorded computer programs for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; downloadable computer software applications for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; downloadable and recorded computer software platforms for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; downloadable computer software for automating business processes, namely engineering, manufacturing and scientific process, building more flexible user interfaces and developing custom B2B solutions, using business applications, engineering intelligence to generate predictions of physical phenomena, machine learning to generate predictions of physical phenomena, for training predictive models on engineering data and predict complex, non-linear physical phenomena in real time for interactive and optimization-driven design, automate design exploration to create the best products for every use-case, performance objectives and design constraints, and to find novel designs outside of predefined parametric spaces and reach unprecedented levels of performance; interfaces for computers

Filing History

NOTICE OF REGISTRATION CONFIRMATION EMAILED
May 19, 2026 NRCC
NOTICE OF REGISTRATION CONFIRMATION EMAILED
May 19, 2026 NRCC
REGISTERED-PRINCIPAL REGISTER
May 19, 2026 R.PR
NOTICE OF ACCEPTANCE OF STATEMENT OF USE E-MAILED
Apr 28, 2026 SUNA
ALLOWED PRINCIPAL REGISTER - SOU ACCEPTED
Apr 28, 2026 CNPR
STATEMENT OF USE PROCESSING COMPLETE
Mar 20, 2026 SUPC
CASE ASSIGNED TO INTENT TO USE PARALEGAL
Mar 20, 2026 AITU
USE AMENDMENT FILED
Sep 17, 2025 IUAF
TEAS STATEMENT OF USE RECEIVED
Sep 17, 2025 EISU
NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Mar 22, 2025 EXRA
SOU EXTENSION 1 GRANTED
Mar 22, 2025 EX1G
SOU EXTENSION 1 FILED
Mar 21, 2025 EXT1
SOU TEAS EXTENSION RECEIVED
Mar 21, 2025 EEXT
NOA E-MAILED - SOU REQUIRED FROM APPLICANT
Sep 24, 2024 NOAM
OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
Jul 30, 2024 NPUB
PUBLISHED FOR OPPOSITION
Jul 30, 2024 PUBO
NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
Jul 10, 2024 NONP
APPROVED FOR PUB - PRINCIPAL REGISTER
Jun 24, 2024 CNSA
TEAS/EMAIL CORRESPONDENCE ENTERED
May 1, 2024 TEME
CORRESPONDENCE RECEIVED IN LAW OFFICE
May 1, 2024 CRFA
TEAS RESPONSE TO OFFICE ACTION RECEIVED
May 1, 2024 TROA
NOTIFICATION OF NON-FINAL ACTION E-MAILED
Apr 10, 2024 GNRN
NON-FINAL ACTION E-MAILED
Apr 10, 2024 GNRT
NON-FINAL ACTION WRITTEN
Apr 10, 2024 CNRT
ASSIGNED TO EXAMINER
Mar 19, 2024 DOCK
TEAS CHANGE OF CORRESPONDENCE RECEIVED
Mar 1, 2024 TCCA
ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
Mar 1, 2024 ARAA
TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
Mar 1, 2024 REAP
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Sep 6, 2023 NWOS
NEW APPLICATION ENTERED
Aug 10, 2023 NWAP