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Application Number:6366127
Status: Unknown
Class:42
Applicant:VOIANT, LLC (A LIMITED LIABILITY COMPANY OF DELAWARE (U.S.))
Filing Date:Sun, 31 Mar 2024
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Trademark Information

TrademarkVOIANT
Trademark TypeWordmark
Class42
Application Number6366127
Nature/Scope of businessResearch and development and consulting related thereto to develop and validate biomarkers in the field of clinical research; providing a website featuring non-downloadable software using artificial intelligence (AI) and machine learning (ML) for use in clinical research to identify, track, and quantify human organs, anatomical structures, and diseasespecific abnormalities on medical images; software as a service featuring software for collecting and reporting self-assessment of clinical information from participants in clinical trials
PublicationIn Journal No. 2156
Status Unknown
Applicant:VOIANT, LLC (A LIMITED LIABILITY COMPANY OF DELAWARE (U.S.))
Applicant Address300 Frank W. Burr Blvd., 7th Floor Teaneck, New Jersey 07666 (U.S.) body incorporate
JurisdictionCHENNAI
AgentHIMANSHU SHARMA
Agent AddressS & H Partners Regency Pinnacle Heights, H2 Connecting Lavander Thannisandra main Road, Bangalore- 560077

Frequently Asked Questions

Who is the owner of trademark VOIANT?
The trademark application number 6366127 is owned by VOIANT, LLC (A LIMITED LIABILITY COMPANY OF DELAWARE (U.S.)).
Which class does trademark VOIANT belong to?
Trademark application number 6366127 is filed under Class 42, which relates to the specified goods and services.
Who is the trademark agent for application 6366127?
The trademark agent associated with application number 6366127 is HIMANSHU SHARMA.
Was trademark VOIANT published in the journal?
Yes, trademark application number 6366127 was published in Journal No. 2156.
What is trademark VOIANT?
Trademark application number 6366127 relates to "Research and development and consulting related thereto to develop and validate biomarkers in the field of clinical research; providing a website featuring non-downloadable software using artificial intelligence (AI) and machine learning (ML) for use in clinical research to identify, track, and quantify human organs, anatomical structures, and diseasespecific abnormalities on medical images; software as a service featuring software for collecting and reporting self-assessment of clinical information from participants in clinical trials".

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