Serial Number
97495234
Owner
minds.ai, Inc.Attorney
MICHAEL POGUEFirst Use Date
Mar 18, 2022
Filing Date
Jul 8, 2022
MINDS.AI MAESTRO Trademark
Serial Number: 97495234 • Registration: 7370613
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
MICHAEL POGUE Gravis Law
100 SUN VALLEY RD UNIT 3020
SUN VALLEY, ID 83353
United States
Trademark Details
Filing Date
July 8, 2022
Registration Date
April 30, 2024
First Use Anywhere
March 18, 2022
First Use in Commerce
March 18, 2022
Published for Opposition
February 13, 2024
Goods & Services
Downloadable computer software platform, namely, a downloadable computer software platform using machine learning and simulation software for creating optimized manufacturing schedules for semiconductor operations and other complex manufacturing operations; downloadable computer software featuring algorithms for creating optimized manufacturing schedules for semi conductor operations and other complex manufacturing operations; downloadable computer simulation software for creating optimized manufacturing schedules for semiconductor operations and other complex manufacturing operations; downloadable computer software featuring algorithms for creating optimized dispatching strategies for semiconductor and other complex manufacturing operations; downloadable computer simulation software for creating optimized dispatching strategies for semiconductor and other complex manufacturing operations; all aforementioned software can be integrated with existing systems, namely, manufacturing execution systems, data storage systems, control systems, scheduler software systems, digital twin software systems, and simulator software systems; all aforementioned software has multiple outputs, namely, optimized production schedules, schedules ranked for distinct key performance indicators, optimized global dispatching strategies, and optimized tool group dispatching strategies; all aforementioned software improves multiple metrics, namely, throughput, on-time delivery, reduction of cycle times, and other user supplied metrics
platform as a service (PAAS) featuring computer software platform using machine learning and simulation software for creating optimized manufacturing schedules for semiconductor operations and other complex manufacturing operations; platform as a service (PAAS) featuring computer software platforms featuring algorithms for creating optimized manufacturing schedules for semi conductor operations and other complex manufacturing operations; platform as a service (PAAS) featuring computer simulation software platforms for creating optimized manufacturing schedules for semiconductor operations and other complex manufacturing operations; platform as a service (PAAS) featuring computer software platforms featuring algorithms for creating optimized dispatching strategies for semiconductor and other complex manufacturing operations; platform as a service (PAAS) featuring computer simulation software platforms for creating optimized dispatching strategies for semiconductor and other complex manufacturing operations; all aforementioned software can be integrated with existing systems, namely, manufacturing execution systems, data storage systems, control systems, scheduler software systems, digital twin software systems, and simulator software systems; all aforementioned software has multiple outputs, namely, optimized production schedules, schedules ranked for distinct key performance indicators, optimized global dispatching strategies, and optimized tool group dispatching strategies; all aforementioned software improves multiple metrics, namely, throughput, on-time delivery, reduction of cycle times, and other user supplied metrics