Serial Number
99645224
Owner
Elemental Machines, Inc.Attorney
Ryan E AndersonFiling Date
Feb 10, 2026
ELLIE Trademark
Serial Number: 99645224
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Ryan E Anderson Anderson Patent Law Firm LLC
705 E Anemone Trail, UNIT # 104 (POB 4928)
PO Box 4928
Dillon, CO 80435
United States
Trademark Details
Filing Date
February 10, 2026
Registration Date
Not Registered
Goods & Services
Downloadable computer software for providing a conversational AI interface to laboratory operations data platforms in the field of manufacturing equipment monitoring, laboratory equipment monitoring, asset management, and life sciences laboratory operations management; Downloadable software for orchestrating and coordinating the actions of autonomous AI agents for manufacturing equipment monitoring, laboratory equipment monitoring, predictive maintenance, and operational risk assessment in laboratory and manufacturing environments; Downloadable software for application programming interface (API) integration of manufacturing equipment monitoring systems, laboratory equipment monitoring systems, laboratory information management systems (LIMS), electronic laboratory notebooks (ELN), quality management systems (QMS), and manufacturing execution systems (MES) in laboratory and manufacturing environments; Downloadable software for managing manufacturing equipment system configurations, laboratory equipment system configurations, environmental alert thresholds, and laboratory asset metadata via natural language processing; Downloadable artificial intelligence software for manufacturing equipment data visualization, laboratory equipment data visualization, performance analytics, and reporting in the field of life sciences, pharmaceutical, and laboratory and manufacturing operations; Downloadable artificial intelligence software for analyzing manufacturing equipment utilization data, laboratory equipment utilization data, generating equipment criticality assessments, and predicting equipment maintenance needs in laboratory and manufacturing environments; Downloadable software for analyzing environmental monitoring data and equipment operational performance data in the field of laboratory, life sciences and manufacturing operations
Providing temporary use of non-downloadable cloud-based software featuring a conversational AI interface for manufacturing and laboratory operations platform management in the field of laboratory, life sciences, pharmaceutical, and manufacturing operations; Platform as a Service (PaaS) featuring computer software platforms for the orchestration of specialized AI agents for manufacturing equipment monitoring, laboratory equipment monitoring, equipment criticality assessment, and sustainability optimization in laboratory, life sciences, pharmaceutical, and manufacturing environments; Providing Application Programming Interface (API) software for integrating conversational AI and automated AI agent coordination into manufacturing equipment monitoring systems, laboratory information management systems (LIMS), electronic laboratory notebooks (ELN), quality management systems (QMS), manufacturing execution systems (MES), and building management systems (BMS) used in laboratory and manufacturing environments; Providing a web-based and mobile software interface featuring technology that translates natural language queries into manufacturing and laboratory equipment system commands, laboratory data queries, and laboratory asset metadata modifications in the field of laboratory, life sciences and manufacturing operations; Software as a Service (SaaS) featuring cloud-based software for managing manufacturing and laboratory equipment alert thresholds, environmental monitoring data, and scientific asset data in laboratory, life sciences, pharmaceutical, and manufacturing operations; Platform as a Service (PaaS) and Software as a Service (SaaS) featuring computer software platforms for agentic artificial intelligence analysis of manufacturing and laboratory equipment utilization, predictive maintenance scheduling, and energy consumption optimization in laboratory and manufacturing environments.