PRISMML Trademark

Trademark Overview

On Monday, March 16, 2026, a trademark application was filed for PRISMML with the United States Patent and Trademark Office. The USPTO has given the PRISMML trademark a serial number of 99704253. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Monday, March 16, 2026. This trademark is owned by Prism ML, Inc.. The PRISMML trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:

Platform as a service (PAAS) featuring a computer software platform for building, optimizing and serving artificial intelligence (AI) and machine learning (ML) models using quantization, pruning and other compression techniques to reduce latency, memory footprint, and compute cost and to optimize the deployment of highly accurate models in edge and server environments.

Downloadable computer software platform for building, optimizing, and serving artificial intelligence (AI) and machine learning (ML) models using quantization, pruning and other compression techniques to reduce latency, memory footprint, and compute cost and to optimize the deployment of highly accurate models in edge and server environments.
prismml

General Information

Serial Number99704253
Word MarkPRISMML
Filing DateMonday, March 16, 2026
Status630 - NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER
Status DateMonday, March 16, 2026
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form
Published for Opposition DateNOT AVAILABLE

Trademark Statements

Goods and ServicesPlatform as a service (PAAS) featuring a computer software platform for building, optimizing and serving artificial intelligence (AI) and machine learning (ML) models using quantization, pruning and other compression techniques to reduce latency, memory footprint, and compute cost and to optimize the deployment of highly accurate models in edge and server environments.
Goods and ServicesDownloadable computer software platform for building, optimizing, and serving artificial intelligence (AI) and machine learning (ML) models using quantization, pruning and other compression techniques to reduce latency, memory footprint, and compute cost and to optimize the deployment of highly accurate models in edge and server environments.

Classification Information

International Class009 - Scientific, nautical, surveying, photographic, cinematographic, optical, weighing, measuring, signalling, checking (supervision), life-saving and teaching apparatus and instruments; apparatus and instruments for conducting, switching, transforming, accumulating, regulating or controlling electricity; apparatus for recording, transmission or reproduction of sound or images; magnetic data carriers, recording discs; automatic vending machines and mechanisms for coin operated apparatus; cash registers, calculating machines, data processing equipment and computers; fire extinguishing apparatus.
US Class Codes021, 023, 026, 036, 038
Class Status Code6 - Active
Class Status DateMonday, March 16, 2026
Primary Code009
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE
International Class042 - Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software.
US Class Codes100, 101
Class Status Code6 - Active
Class Status DateMonday, March 16, 2026
Primary Code042
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

Trademark Owner History

Party NamePrism ML, Inc.
Party Type10 - Original Applicant
Legal Entity Type03 - Corporation
AddressPasadena, CA 91125
US

Trademark Events

Event DateEvent Description
Monday, March 16, 2026NEW APPLICATION ENTERED
Monday, March 16, 2026APPLICATION FILING RECEIPT MAILED

Related Keywords

prismml models platform memory footprint latency reduce techniques compute cost edge