EUTM file information

018921239

Tulip Frontline Copilot


September 3, 2023

Trademark Summary

The trademark Tulip Frontline Copilot was filed by Tulip Interfaces, Inc., a U.S. corporation (the "Applicant"). The application was published for oppositions on October 19, 2023, and received one opposition filed on January 18, 2024 by ENALEAN on Likelihood of confusion. the opponent was represented by Thonnelier, Catherine and proceedings were handled in English, and the oppositon was dismissed by the Euorpean Union Intellectual Property Office with decision issued January 18, 2024

The application was filed in English, and English was also language of all opposition proceedings (French was selected as the second language).


Goods And Services

  • The mark was filed in class 42 with following description of goods:
    1. Computer software development in the field of artificial intelligence, machine learning, computer vision, data science and software infrastructure
    2. Platform as a service (PAAS) featuring computer software platforms for use in visual and non-visual recommendations in the fields of manufacturing and life science
    3. Providing software as a service (SAAS) to manufacturing operations professionals for use in visual quality inspection, object character recognition, code generation, image, test and speech classification, based on artificial intelligence, computer vision, machine learning
    4. Software as a service (SAAS) featuring non-downloadable computer software in the field of manufacturing
    5. Software as a service (SAAS) featuring non-downloadable computer software for the integration of artificial intelligence and machine learning in the field of manufacturing operations
    6. Software as a service (SAAS) featuring non-downloadable computer software in the field of data and analytics using artificial intelligence and machine learning
    7. Providing software as a service (SAAS) to manufacturing operations professionals for shop floor digitalization, continuous improvement and Lean manufacturing practice
    8. Providing software as a service (SAAS) to manufacturing operation engineers, workers and professionals for digitalized operations in manufacturing using artificial intelligence and machine learning, no-code application build and design, building and maintaining digital processes, analytics of production data using artificial intelligence and machine learning.