Serial Number
99651174
Owner
Sevvy AI, Inc.Attorney
Marek KrizkaFirst Use Date
Jan 1, 2026
Filing Date
Feb 13, 2026
CORELAYER Trademark
Serial Number: 99651174
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Marek Krizka SPARRING LEGAL LLP
477 Madison Avenue, 6th floor
New York, NY 10022
United States
Trademark Details
Filing Date
February 13, 2026
Registration Date
Not Registered
First Use Anywhere
January 1, 2026
First Use in Commerce
January 1, 2026
Goods & Services
Downloadable workflow management software; Downloadable computer software for real-time monitoring, observability, and performance analysis of engineering production systems, and collection and analysis of metrics, logs, and traces; Downloadable computer software for incident detection, alerting, troubleshooting, and root cause analysis in engineering production environments; Downloadable computer software platforms for engineering production support and operations; Downloadable computer software using artificial intelligence (AI) for monitoring, analyzing, and correlating production data and infrastructure metrics, detecting and diagnosing issues, and generating recommendations and decision support for debugging and resolving problems in engineering production environments
Software as a service (SAAS) services featuring software for real-time monitoring, observability, and performance analysis of engineering production systems, and collection and analysis of metrics, logs, and traces; Providing online non-downloadable workflow management software; Providing on-line non-downloadable software for incident detection, alerting, troubleshooting, and root cause analysis in engineering production environments; Providing online non-downloadable computer software platforms for engineering production support and operations; Providing on-line non-downloadable software using artificial intelligence (AI) for monitoring, analyzing, and correlating production data and infrastructure metrics, detecting and diagnosing issues, and generating recommendations and decision support for debugging and resolving problems in engineering production environments