Trademark Overview
On Monday, December 16, 2024, a trademark application was filed for SYNTHETIK with the United States Patent and Trademark Office. The USPTO has given the SYNTHETIK trademark a serial number of 98905390. The federal status of this trademark filing is RESPONSE AFTER NON-FINAL ACTION - ENTERED as of Wednesday, September 24, 2025. This trademark is owned by Synthetik Applied Technologies, LLC. The SYNTHETIK trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Downloadable computer software using artificial intelligence for machine learning, risk modeling and scientific computing; Computer hardware, including embedded computer hardware, for computer vision, machine learning, modeling and simulation, synthetic data generation, sensors, industrial imaging, and automated inspection; downloadable computer software for computer vision, machine learning, computer modeling and simulation, synthetic data generation, industrial imaging, and automated inspection of luggage, people, automobiles, geography, topography, and sound wave data
(Based on Use) Research, development and consultation related thereto in the field of material science technologies; Research and , development and consultation related to computer software in the fields of computer vision, machine learning, modeling and simulation, synthetic data generation, sensors and embedded hardware, industrial imaging and automated inspection; Research, development and consultation related thereto in the field of protective material science, data analysis, and predictive modeling solutions; Computer hardware and software design and development (Based on Intent to Use) Providing on-line non-downloadable software for computer vision, machine learning, modeling and simulation, synthetic data generation, industrial imaging, and automated inspection; Providing on-line non-downloadable software using artificial intelligence for machine learning, risk modeling and scientific computing