EMERALD AI

Serial Number 99194512
686

Registration Progress

Application Filed
May 20, 2025
Under Examination
Approved for Publication
Nov 25, 2025
Published for Opposition
Nov 25, 2025
Registered

Attorney Assistance

Published for Opposition
Due: Dec 25, 2025 3 days

Trademark Image

EMERALD AI

Basic Information

Serial Number
99194512
Filing Date
May 20, 2025
Published for Opposition
November 25, 2025
Drawing Code
4

Status Summary

Current Status
Active
Status Code
686
Status Date
Nov 25, 2025
Application
Pending
Classes
009 042

Rights Holder

Emerald AI, Inc.

03
Address
4535 Westhall Drive NW
Washington, DC 20007

Ownership History

Emerald AI, Inc.

Original Applicant
03
Washington, DC

Emerald AI, Inc.

Owner at Publication
03
Washington, DC

Legal Representation

Attorney
Christina M. Licursi

USPTO Deadlines

Next Deadline
3 days remaining
Published for Opposition
Due Date
December 25, 2025
Extension Available
Until January 25, 2026

Application History

14 events
Date Code Type Description Documents
Nov 25, 2025 NPUB E OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED Loading...
Nov 25, 2025 PUBO A PUBLISHED FOR OPPOSITION Loading...
Nov 19, 2025 NONP E NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED Loading...
Oct 27, 2025 CNSA P APPROVED FOR PUB - PRINCIPAL REGISTER Loading...
Oct 24, 2025 TEME I TEAS/EMAIL CORRESPONDENCE ENTERED Loading...
Oct 24, 2025 CRFA I CORRESPONDENCE RECEIVED IN LAW OFFICE Loading...
Oct 24, 2025 TROA I TEAS RESPONSE TO OFFICE ACTION RECEIVED Loading...
Oct 8, 2025 GNRN O NOTIFICATION OF NON-FINAL ACTION E-MAILED Loading...
Oct 8, 2025 GNRT F NON-FINAL ACTION E-MAILED Loading...
Oct 8, 2025 CNRT R NON-FINAL ACTION WRITTEN Loading...
Oct 2, 2025 DOCK D ASSIGNED TO EXAMINER Loading...
Sep 26, 2025 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED Loading...
May 20, 2025 MAFR O APPLICATION FILING RECEIPT MAILED Loading...
May 20, 2025 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 009
Downloadable software for simulating integrated operation of power grids and large electrical loads and generating predictive control signals with virtual, real-time replicas of physical objects, systems and environments; Downloadable software employing artificial intelligence (AI)-driven optimization algorithms to co-optimize computing load, battery storage, and on-site or remote electrical generation
Class 042
Software as a service (SaaS) services featuring artificial-intelligence and machine-learning algorithms for modeling, forecasting, and optimizing electricity consumption of data-center, cloud-computing, high-performance computing, and artificial intelligence workloads; Software as a service (SaaS) services featuring software for monitoring, analyzing, and controlling electric-grid conditions, demand-response events, and power-system reliability; Software as a service (SaaS) services featuring artificial intelligence (AI) software for real-time orchestration, scheduling, and power capping of computing workloads, battery systems, and other electrical infrastructure to meet grid constraints and computing performance targets; Software as a service (SaaS) services featuring software for telemetry collection and visualization from graphics processing units (GPUs), servers, facilities, and electrical or storage assets to safeguard and optimize data-center performance; Providing temporary use of non-downloadable cloud-based software for coordinating interactions between utilities, system operators, and large electricity consumers to increase grid reliability and unlock interconnection capacity; Platform as a service (PaaS) services featuring application programming interfaces (APIs) for integrating utility signals, market prices, and computational workload performance into automated power-aware workload-management systems; Cloud-computing software services featuring non-downloadable software for predictive maintenance, fault detection, and resilience analysis of data-center and power-infrastructure assets; Providing online non-downloadable software employing artificial intelligence (AI)-driven optimization algorithms to co-optimize computing load, battery storage, and on-site or remote electrical generation; Providing online non-downloadable software for providing dashboards that generate reports, alerts, and compliance documentation related to energy usage, computing workload performance, and grid-service participation

Additional Information

Pseudo Mark
EMERALD ARTIFICIAL INTELLIGENCE

Classification

International Classes
009 042

Disclaimers

The following terms have been disclaimed and are not claimed as part of the trademark:
Specific Disclaimer
AI