Serial Number
97233395
Owner
Willowglen Systems Inc.Attorney
Michael J. Feigin, EsqFiling Date
Jan 22, 2022
SILZONE Trademark
Serial Number: 97233395
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Michael J. Feigin, Esq
1037 RT 46 EAST, SUITE 107
CLIFTON, NJ 07055
United States
Trademark Details
Filing Date
January 22, 2022
Registration Date
Not Registered
Published for Opposition
May 12, 2026
Goods & Services
Downloadable and recorded computer programs and software in the nature of automated systems for collecting, aggregating, and filtering raw data from complex physical assets and supervisory control and data acquisition (SCADA) systems and sending alerts and data to computerized maintenance management systems (CMMS) systems and mobile devices for the purpose of maintenance of plant and facility machinery; Downloadable and recorded computer programs and software in the nature of industrial automation software to control industrial infrastructure such as pipelines, power grids, rail systems, water distribution systems and municipal infrastructure; Downloadable and recorded computer programs and software in the nature of supervisory control and data acquisition (SCADA) systems with integrated safety standards; Downloadable and recorded client and server computer software for monitoring information technology (IT), operational technology (OT) and Internet of Things (IoT) devices and networks, storing and analyzing data for the purpose of industrial automation; Downloadable and recorded computer software for behavioral analysis, machine learning algorithms and big-data analytics
Computer hardware and software design and development, namely, providing supervisory control and data acquisition (SCADA) services; computer hardware and software design and development, namely, providing supervisory control and data acquisition (SCADA) systems with integrated safety standards; computer modelling services; virtual testing using computer simulation based on computer programs, analytics, artificial intelligence, machine learning and IOT technology for others in the field of physical assets, namely, wind turbines, turbines, compressors, pumps, refrigeration units and HVAC units, gas plants, gas and liquids pipelines, refineries, compressor stations, and oil and gas well sites, industrial facilities; cloud computing featuring software for collecting, aggregating, and filtering raw data from complex physical assets and SCADA systems and sending alerts and data to CMMS systems and mobile devices for the purpose of plant and facility maintenance
