Drawing for ARIZE

USPTO serial 99859507

ARIZE

Reviewed by CopyMark Law Group

Status 681
Filing date
Status date
Registration date
—
Examiner
BEDNARZ, DUSTIN THOMAS
Law office
PUBLICATION AND ISSUE SECTION

What this means

This page summarizes the public USPTO record for this serial number, including owners, goods and services, and prosecution history.

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Owner

Attorney of record

The USPTO lists this attorney as the applicant's representative for correspondence on this application.

Heather A. Dunn

Heather A. Dunn DLA PIPER, LLP (US)555 Mission Street, Suite 2400San Francisco, CA 94105-2933United States

Goods and services

ClassDescriptionStatusFirst use
009Downloadable computer software for use in large language model (LLM) application tracing, monitoring, evaluation and development, and for monitoring and improving machine learning (ML) model performance, and for observing artificial intelligence (AI) applications in the nature of tracing, measuring, and evaluating the behavior, output quality, and performance of artificial intelligence systemsACTIVEAug 20, 2020
041Educational services, namely, conducting educational conferences and programs and providing courses in the field of artificial intelligence, large language models, and machine learning; Providing on-line tutorial videos in the field of artificial intelligence, large language models, and machine learning, not downloadable; Providing on-line courses of instruction in the field of artificial intelligence, large language models, and machine learning via a website; Providing a website featuring blogs and non-downloadable publications in the nature of articles in the field(s) of artificial intelligence, large language models, and machine learning; Entertainment services, namely, providing podcasts in the field of artificial intelligence, large language models, and machine learningACTIVE—
042Software as a service (SAAS) services featuring software for use in large language model (LLM) application tracing, monitoring, evaluation and development, and for monitoring and improving machine learning (ML) model performance, and for observing artificial intelligence (AI) applications in the nature of tracing, measuring, and evaluating the behavior, output quality, and performance of artificial intelligence systemsACTIVE—

Related trademarks

CopyMark links this record to cited §2(d) serials, the owner's other marks, Nice classes, similar mark names, and recently changed USPTO applications.

Prosecution history

DateCodeEventWhat it means
Oct 16, 2026CNSAAPPROVED FOR PUB - PRINCIPAL REGISTER—
Oct 16, 2026GNENNOTIFICATION OF EXAMINERS AMENDMENT E-MAILED—
Oct 16, 2026XAECEXAMINER'S AMENDMENT ENTERED—
Oct 16, 2026GNEAEXAMINERS AMENDMENT E-MAILED—
Oct 16, 2026CNEAEXAMINERS AMENDMENT -WRITTEN—
Oct 6, 2026DOCKASSIGNED TO EXAMINER—
Oct 5, 2026NWOSNEW APPLICATION OFFICE SUPPLIED DATA ENTERED—
Jun 2, 2026MAFRAPPLICATION FILING RECEIPT MAILED—
Jun 2, 2026NWAPNEW APPLICATION ENTERED—

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