Trademark Overview
On Monday, March 2, 2026, a trademark application was filed for PICOCLAW with the United States Patent and Trademark Office. The USPTO has given the PICOCLAW trademark a serial number of 99678359. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Monday, March 2, 2026. This trademark is owned by Clawland Inc.. The PICOCLAW trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Providing temporary use of online non-downloadable software development kits (SDKs); Software as a service (SAAS) services featuring software for an artificial intelligence platform for autonomous computer control, enabling AI agents to interact with third-party software applications through visual reasoning and simulated human input.; Providing temporary use of online non-downloadable software using artificial intelligence (AI) for automating the management of "Mission Control" dashboards to oversee autonomous AI agents performing asynchronous computer tasks.; Providing temporary use of online non-downloadable software using artificial intelligence (AI) for automating computer-based workflows through visual interface perception and autonomous action execution.; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for AI model integration and device fleet operations.
Downloadable computer software plug-ins for the creation and deployment of autonomous artificial intelligence (AI) agents capable of computer control, screen perception, and reasoning to execute tasks.; Downloadable computer software plug-ins for using artificial intelligence for automating computer-based tasks, namely, navigating user interfaces, clicking, typing, and managing multi-step digital workflows.; Downloadable computer software plug-ins for providing a mission control interface to monitor and manage the real-time actions and visual perception of autonomous AI agents.
