Trademark Overview
On Tuesday, November 4, 2025, a trademark application was filed for PROJECT SUNCATCHER with the United States Patent and Trademark Office. The USPTO has given the PROJECT SUNCATCHER trademark a serial number of 99478863. The federal status of this trademark filing is APPROVED FOR PUBLICATION as of Thursday, February 26, 2026. This trademark is owned by Google LLC. The PROJECT SUNCATCHER trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Computer services, namely, providing cloud hosting provider services from orbital and terrestrial data centers for machine learning; Infrastructure as a service (IAAS) services, namely, hosting computer software platforms for computer processing, data storage, and machine learning resources provided from orbital and terrestrial data centers; Platform as a service (PAAS) featuring computer software platforms for computer processing, data storage, and machine learning resources provided from orbital and terrestrial data centers; Providing online non-downloadable computer software for machine learning, deep learning, and statistical learning for training, tuning, and serving models; Technical consulting services in the fields of space-based computer architecture, orbital and terrestrial data center design and deployment, cloud computing software solutions, and machine learning compute; Electronic data storage services, namely, cloud storage services for electronic data to others from orbi...
Computer hardware, namely, computer servers, data processors, computer programs, recorded, for data storage configured for machine learning workloads in orbital and terrestrial data centers; Downloadable computer software for operating, optimizing, and managing computer servers and data storage devices in orbital and terrestrial data centers for machine learning; Downloadable computer software for machine learning, deep learning, and statistical learning used for training, tuning, and serving models; Downloadable computer software for cloud data management, storage, backup, archival, and data virtualization; Downloadable computer software for data transmission, processing, and analysis between orbital and terrestrial networks
