ASPECT INTELLIGENCE

Serial Number 99509544
630

Registration Progress

Application Filed
Nov 21, 2025
Under Examination
Approved for Publication
Published for Opposition
Registered

Trademark Image

ASPECT INTELLIGENCE

Basic Information

Serial Number
99509544
Filing Date
November 21, 2025
Drawing Code
4

Status Summary

Current Status
Active
Status Code
630
Status Date
Nov 21, 2025
Application
Pending
Classes
009 042

Rights Holder

Alvaria, Inc.

03
Address
211 Perimeter Center Parkway
Suite 200
Atlanta, GA 30346

Ownership History

Alvaria, Inc.

Original Applicant
03
Atlanta, GA

Legal Representation

Attorney
DANIEL J. BOURQUE

Application History

3 events
Date Code Type Description Documents
Nov 21, 2025 MAFR O APPLICATION FILING RECEIPT MAILED Loading...
Nov 21, 2025 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED Loading...
Nov 21, 2025 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 009
Downloadable computer software applications for artificial Intelligence (AI) workforce management which utilizes artificial intelligence to optimize scheduling, forecasting, and workload distribution using predictive analytics to anticipate demand, automating the creation of balanced schedules that account for skills and employee preferences, and providing real-time data for quick adjustments, for predictively managing human and non-human resources
Class 042
Providing temporary use of online non-downloadable computer software applications for artificial Intelligence (AI) workforce management which utilizes artificial intelligence to optimize scheduling, forecasting, and workload distribution using predictive analytics to anticipate demand, automating the creation of balanced schedules that account for skills and employee preferences, and providing real-time data for quick adjustments, for predictively managing human and non-human resources; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for optimizing scheduling, forecasting, and workload distribution using predictive analytics to anticipate demand, automating the creation of balanced schedules that account for skills and employee preferences, and providing real-time data for quick adjustments, for predictively managing human and non-human resources

Classification

International Classes
009 042