SCALEVIRTUALLY
LIVE

Serial Number

79425892

Owner

Siemens Aktiengesellschaft

Attorney

Marie Mastrovito

Filing Date

May 6, 2025

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SCALEVIRTUALLY Trademark

Serial Number: 79425892

SCALEVIRTUALLY is a trademark filed by Siemens Aktiengesellschaft on May 6, 2025. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific). The application is currently pending registration.

Owner Contact Info

Siemens Aktiengesellschaft

Werner-von-Siemens-Str. 1

Entity Type: 99

Trademark Details

Filing Date

May 6, 2025

Registration Date

Not Registered

Goods & Services

Downloadable computer software for protecting computer hardware from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact hardware functionality; downloadable computer software for protecting electrical products from power overloads, overheating, gas pressure abnormalities and other thermal, electrical and atmospheric abnormalities that may negatively impact functionality; downloadable computer software for protecting power networks and power grids, from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact power grids and power systems; downloadable computer software for control tasks in power networks and power grids, namely, software for monitoring, controlling and operating power distribution equipment; downloadable computer software for controlling electrical assets, namely, for performing open, close, and trip operations on switchgear, transformers, circuit breakers, and disconnectors; downloadable computer software for detecting risks and preventing power overload of equipment used in power distribution networks and power grids ; downloadable computer software for protecting power systems from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities and for controlling power distribution systems; downloadable computer software for sensing, capturing, collecting, monitoring, validating and managing electrical data, power quality and power systems; downloadable computer software for evaluation and processing of electrical data, power quality and power systems; downloadable software for modeling, simulating, and analyzing electrical data, power quality and power systems; downloadable computer software using artificial intelligence and machine learning for protecting computer hardware from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact hardware functionality; downloadable computer software using artificial intelligence and machine learning software for protecting electrical products used in power grids and power networks from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact functioning; downloadable computer software using artificial intelligence and machine learning for protection and control tasks in power networks and power grids, namely, for input, processing, transmission, storage and output of data for controlling power networks and power grids and for monitoring functioning of power networks and power grids to protect against malfunctions; downloadable software in the nature of mobile application for protecting computer hardware from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact hardware functionality; downloadable software in the nature of mobile applications for protecting electrical products from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact functionality; downloadable computer software for virtualization of protection and control tasks in power networks and power grids; downloadable computer software for virtualization of protection and control tasks performed by electrical products in power networks and power grids; downloadable computer software for virtualization of tasks performed by embedded hardware used in power networks and power grids to prevent against power outages.

Software as a service (SaaS) featuring software for protecting computer hardware from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact hardware functionality; software as a service (SaaS) featuring software for protecting electrical products from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact functionality; software as a service (SaaS) featuring software for protection of power grids and power systems from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact functionality; software as a service (SaaS) services featuring software for control tasks in power networks and power grids, namely, software for monitoring, controlling and operating power distribution equipment; downloadable computer software for controlling electrical assets, namely, for performing open, close, and trip operations on switchgear, transformers, circuit breakers, and disconnectors in power networks and power grids; software as a service (SaaS) featuring software for preventing power overload in power grids and power distribution systems and for controlling the operation of power networks and power grids; software as a service (SaaS) featuring software for virtualization of protection and control tasks in power networks and power grids; software as a service (SaaS) featuring software using artificial intelligence and machine learning for protecting computer hardware and electrical products from power overloads, overheating, gas pressure abnormalities, and other thermal, electrical and atmospheric abnormalities that may negatively impact hardware functionality; software as a service (SaaS) featuring software using artificial intelligence and machine learning for protection against power outages and for controlling the monitoring and reporting of malfunctions in power networks and power grids

Filing History

TEAS/EMAIL CORRESPONDENCE ENTERED
Apr 28, 2026 TEME
CORRESPONDENCE RECEIVED IN LAW OFFICE
Apr 28, 2026 CRFA
TEAS RESPONSE TO OFFICE ACTION RECEIVED
Apr 28, 2026 TROA
REFUSAL PROCESSED BY IB
Nov 30, 2025 RFNT
NON-FINAL ACTION MAILED - REFUSAL SENT TO IB
Nov 11, 2025 RFCS
REFUSAL PROCESSED BY MPU
Nov 11, 2025 RFRR
NON-FINAL ACTION (IB REFUSAL) PREPARED FOR REVIEW
Sep 25, 2025 RFCR
NON-FINAL ACTION WRITTEN
Sep 24, 2025 CNRT
ASSIGNED TO EXAMINER
Sep 23, 2025 DOCK
APPLICATION FILING RECEIPT MAILED
Jun 16, 2025 MAFR
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Jun 16, 2025 NWOS
SN ASSIGNED FOR SECT 66A APPL FROM IB
Jun 12, 2025 REPR