Serial Number
87337585
Owner
dMetrics, Inc.Attorney
Richard L. BigelowFirst Use Date
Aug 27, 2015
Filing Date
Feb 15, 2017
MINSKY Trademark
Serial Number: 87337585
Trademark Classes
Owner Contact Info
Legal Representation
Trademark Details
Filing Date
February 15, 2017
Registration Date
Not Registered
First Use Anywhere
August 27, 2015
First Use in Commerce
October 1, 2015
Goods & Services
Advanced product research in the field of artificial intelligence; Design and development of computer software; Design and development of computer software for helping companies in the healthcare, pharma, financial services, automotive, energy, and other industries to solve their big data / AI / unstructured data problems without writing a single line of code - using natural language processing (NLP) and machine learning (ML) techniques to collect text and convertable-to-text content (from public, online, and proprietary sources) in order to be trained to analyze, extract, and act (e.g., visualize, advertise, microtarget, classify emails, identify features) based on the text content.; Design, development, and consulting services related thereto in the field of artificial intelligence; Platform as a service (PAAS) featuring computer software platforms for helping companies in the healthcare, pharma, financial services, automotive, energy, and other industries to solve their big data / AI / unstructured data problems without writing a single line of code - using natural language processing (NLP) and machine learning (ML) techniques to collect text and convertable-to-text content (from public, online, and proprietary sources) in order to be trained to analyze, extract, and act (e.g., visualize, advertise, microtarget, classify emails, identify features) based on the text content.; Software as a service (SAAS) services featuring software for assisting companies in the healthcare, pharma, financial services, automotive, energy, and other industries to solve their big data / AI / unstructured data problems without writing a single line of code - using natural language processing (NLP) and machine learning (ML) techniques to collect text and convertable-to-text content (from public, online, and proprietary sources) in order to be trained to analyze, extract, and act (e.g., visualize, advertise, microtarget, classify emails, identify features) based on the text content