Serial Number
98777572
Owner
NUMIND TECHNOLOGY INC.Attorney
RAJESH FOTEDARFiling Date
Sep 30, 2024
NUMIND Trademark
Serial Number: 98777572
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
RAJESH FOTEDAR COGNITION IP P.C.
50 CALIFORNIA ST.
1500
SAN FRANCISCO, CA 94111
UNITED STATES
Trademark Details
Filing Date
September 30, 2024
Registration Date
Not Registered
Published for Opposition
May 6, 2025
Goods & Services
downloadable software application for development and deployment of machine learning models; downloadable software application for development and deployment of customized machine learning models for document extraction tasks; downloadable software application using artificial intelligence and natural language processing for extracting data from unstructured and semi-structured documents, for classifying and searching documents, and for natural language processing; downloadable software application using artificial intelligence and natural language for development of custom machine learning models tailored for tasks that require processing for extracting data from unstructured and semi-structured documents, for classifying and searching documents, and for natural language processing;
Software as a Service (SaaS) services featuring software for development and deployment of machine learning models; Software as a Service (SaaS) services featuring software for development and deployment of customized machine learning models for document extraction tasks; Software as a Service (SaaS) services featuring software using artificial intelligence and natural language processing for extracting data from unstructured and semi-structured documents, for classifying and searching documents, and for natural language processing; Software as a Service (SaaS) services featuring software using artificial intelligence and natural language for development of custom machine learning models tailored for tasks that require processing for extracting data from unstructured and semi-structured documents, for classifying and searching documents, and for natural language processing
