Trademark Overview
On Wednesday, January 28, 2026, a trademark application was filed for ANALOGOS with the United States Patent and Trademark Office. The USPTO has given the ANALOGOS trademark a serial number of 99620985. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Wednesday, January 28, 2026. This trademark is owned by TetraMem Inc.. The ANALOGOS trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
integrated circuits and integrated circuit components; computer chips; semiconductor chips; in-memory computing circuits and chips; circuits and chips for implementing neural networks; memory devices; resistive random-access memory; recorded and downloadable artificial intelligence software and computer software platforms for programming, training and inferencing on artificial neural networks to perform pattern discovery, recognition, classification, segmentation, regression, decision support and visualization; recorded and downloadable software for implementing in-memory computing architectures; recorded and downloadable software for use in designing, programming, compiling, deploying and running microprocessors, graphics processing units, machine learning processors, memristor-based circuits, artificial neural networks, and integrated circuits; recorded and downloadable computer software for post-training quantization, conversion, and optimization of machine learning model formats
Product design and development in the fields of artificial intelligence, in-memory computing, memristors, resistive random-access memory (RRAM), crossbar architectures, and analog and mixed-signal computing; research in artificial intelligence; computer software development; design and development of computer software and hardware for microprocessors, neural network processors, machine learning processors, memristor-based circuits, resistive random-access memory (RRAM), crossbar arrays, artificial neural networks, integrated circuits, system-on-chip integrated circuits, and application-specific integrated circuits; design and development of software, compilers, runtimes, and software development kits (SDKs) for deep learning, neural processing, machine learning, in-memory computing, and analog computing architectures; providing temporary use of non-downloadable computer software for use in programming, training and inferencing on artificial neural networks to perform pattern discovery,...
