C CYNAX
Mark Identification

C CYNAX

Serial Number

90516492

Filing Date

Feb 7, 2021

Trademark by

AINANOLAB IP HOLDINGS LLC

Classification Information

Scientific and technological services, namely, research and design in the fields of robots, unmanned aerial vehicles, drones, computer software, data science, computer vision, artificial intelligence, advanced visualization analytics, data engineering, and machine learning; Computer modeling services; Engineering; Research and development of new products; New product design services; Product research and development; Scientific research and development; Research and development of new products; Research and development of computer software; Design and development of integrated data collection and wireless transmission hardware systems for equipment and for software applications associated with that equipment at industrial, commercial, military, and agricultural assets, and data automation and collection services using proprietary software to evaluate, analyze and collect service data; Technical analysis in the field of national defense and industrial C4ISR being Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance programs, namely, computer systems analysis; Application service provider featuring application programming interface (API) software for use in managing, controlling, and tracking drones and remotely-controlled video cameras; providing a website featuring technology that enables uploading, storing, and sharing data and flight information from drones and remotely-controlled video cameras; application service provider featuring application programing interface (API) software for use in aerial photography and video, mapping, three-dimensional mapping, and aerial photography and video for use in construction projects and infrastructure maintenance and inspection; Providing on-line non-downloadable computer software for controlling drones and unmanned aerial vehicles (UAVs) that include artificial intelligence capabilities for intelligent observation, detection, and collision avoidance

Computer and Scientific