Serial Number
98040889
Owner
Posit Software, PBCAttorney
Emily C. TsengFirst Use Date
Jun 26, 2024
Filing Date
Jun 13, 2023
POSITRON Trademark
Serial Number: 98040889 • Registration: 8128707
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Emily C. Tseng
ONE MIFFLIN PLACE, SUITE 400
CAMBRIDGE, MA 02138
United States
Trademark Details
Filing Date
June 13, 2023
Registration Date
February 3, 2026
First Use Anywhere
June 26, 2024
First Use in Commerce
June 26, 2024
Published for Opposition
November 12, 2024
Goods & Services
Platform as a service (PaaS) featuring Integrated Development Environment (IDE) computer software platforms for advanced statistical computing, namely, for writing, editing, and executing data science code and for exploring, viewing, sorting and filtering data; Providing temporary use of online non-downloadable software development tools for advanced statistical computing, namely, a polyglot tool for developers to code and build software applications for data science and machine learning projects; Application service provider (ASP) featuring software for advanced statistical computing using open source and object-oriented computer programming languages and the data from two dimensional datasets; Providing temporary use of online non-downloadable software for advanced statistical computing using open source and object-oriented computer programming languages and the data from two dimensional data sets; Software as a Service (SaaS) services featuring software for advanced statistical computing using open source and object-oriented computer programming languages and the data from two dimensional data sets
Downloadable computer software featuring an Integrated Development Environment (IDE) for advanced statistical computing, namely, for writing, editing, and executing data science code and for exploring, viewing, sorting, and filtering data; Downloadable computer software for advanced statistical computing using open source and object-oriented computer programming languages and the data from two dimensional datasets; Downloadable computer software development tools for advanced statistical computing, namely, a polyglot tool for developers to code and build software applications for data science and machine learning projects
