CIGNAL
Mark Identification

CIGNAL

Serial Number

88907089

Filing Date

May 8, 2020

Registration Date

Mar 8, 2022

Trademark by

CIGNAL LLC

Active Trademark

Classification Information

Downloadable software programs for virtualizing and simulating physical systems, objects, substances, and materials to generate synthetic data for training artificial intelligence (AI) systems and evaluating the performance of such AI systems; downloadable software programs for virtualizing and simulating vision and imaging systems, and for virtualizing and simulating physical objects, substances and materials for virtual analysis by simulated vision and imaging systems, to generate synthetic data for training AI systems and evaluating the performance of such AI systems; downloadable software programs for virtualizing and simulating X-ray and Computed Tomography (CT) systems, and for virtualizing and simulating physical objects, substances and materials for virtual analysis by simulated X-ray and CT systems, to generate synthetic data for training AI systems and evaluating the performance of such AI systems

Electrical and Scientific Apparatus

Providing on-line, non-downloadable software for virtualizing and simulating physical systems, objects, substances, and materials to generate synthetic data for training artificial intelligence (AI) systems and evaluating the performance of such AI systems; providing on-line, non-downloadable software for virtualizing and simulating vision and imaging systems, and for virtualizing and simulating physical objects, substances and materials for virtual analysis by simulated vision and imaging systems, to generate synthetic data for training AI systems and evaluating the performance of such AI systems; providing on-line, non-downloadable software for virtualizing and simulating X-ray and Computed Tomography (CT) systems, and for virtualizing and simulating physical objects, substances and materials for virtual analysis by simulated X-ray and CT systems, to generate synthetic data for training AI systems and evaluating the performance of such AI systems

Computer and Scientific