The trademark application Mphasis NeoIP was filed by Mphasis Limited, a corporation established under the laws of the Republic of India (the "Applicant"). Application under examination.
The application was filed in Swedish (English was selected as the second language).
Goods And Services
The mark was filed in class 42 with following description of goods:
Software as a service (SaaS) services featuring software using artificial intelligence (AI) for relearning and modernizing software systems
Software as a service ( SaaS ) services featuring software using artificial intelligence (AI) for generating content, search content, and executing actions capable of multi-intent and multiple entity extraction, generating financial portfolio alerts, call summaries, email drafts, and documents summaries
Software as a service ( SaaS ) services featuring software using artificial intelligence (AI) for enabling automated redaction to ensure sensitive information is protected in the fields of banking and capital markets advisory services
Platform as a service (PaaS) featuring computer software platforms for providing a unified conversational experience using artificial intelligence
Software as a service (SaaS) services featuring software using artificial intelligence (AI) for developing and managing software
Technology consultation in the field of artificial intelligence (AI)
Platform as a service (PaaS) featuring computer software platforms for developing and managing software
Platform as a service (PaaS) featuring computer software platforms for automated code generation, software testing, and modernization of software applications using artificial intelligence
Platform as a service (PaaS) featuring computer software platform for automated software product definition and software development planning using artificial intelligence
Platform as a service (PaaS) featuring computer software platforms for extracting, organizing, modelling, interpreting, and reasoning over structured and unstructured enterprise data using semantic layer and knowledge graph technologies.