TRUSTSCALE
LIVE

Serial Number

99655572

Owner

e2f, Inc.

Attorney

Ross Epstein

Filing Date

Feb 16, 2026

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TRUSTSCALE Trademark

Serial Number: 99655572

TRUSTSCALE is a trademark filed by e2f, Inc. on February 16, 2026. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific). The application is currently pending registration.

Owner Contact Info

e2f, Inc. (2 trademarks)

3655 Nobel Drive, Suite 520
San Diego, CA 92122

Entity Type: 03

Trademark Details

Filing Date

February 16, 2026

Registration Date

Not Registered

Goods & Services

Providing temporary use of on-line non-downloadable software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data; Providing temporary use of on-line non-downloadable software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data and for collecting user annotations for training artificial intelligence models; Software as a service (SAAS) services featuring software for using artificial intelligence (AI) for content verification and quality control of machine‑generated content, including content used in world‑model simulations and physical‑AI environments; Software as a service (SAAS) services featuring software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data; Software as a service (SAAS) services featuring software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data and for collecting user annotations for training artificial intelligence models; Providing temporary use of on-line non-downloadable software for using artificial intelligence (AI) for content verification and quality control of machine‑generated content, including content used in world‑model simulations and physical‑AI environments

Downloadable computer software for using artificial intelligence (AI) for content verification and quality control of machine‑generated content, including content used in world‑model simulations and physical‑AI environments; Downloadable computer software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data and for collecting user annotations for training artificial intelligence models; Downloadable computer software plug-ins for using artificial intelligence (AI) for content verification and quality control of machine‑generated content, including content used in world‑model simulations and physical‑AI environments; Downloadable computer software plug-ins for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data; Downloadable computer software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data; Downloadable computer software plug-ins for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data and for collecting user annotations for training artificial intelligence models; Downloadable browser extension software for using artificial intelligence (AI) for content verification and quality control of machine‑generated content, including content used in world‑model simulations and physical‑AI environments; Downloadable browser extension software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data; Downloadable browser extension software for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data and for collecting user annotations for training artificial intelligence models; Downloadable mobile applications for using artificial intelligence (AI) for content verification and quality control of machine‑generated content, including content used in world‑model simulations and physical‑AI environments; Downloadable mobile applications for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data; Downloadable mobile applications for detecting, flagging, highlighting, logging, redacting, removing, and correcting errors and undesired content in artificial intelligence (AI)–generated text, audio, image, video, sensory, and multimodal data and for collecting user annotations for training artificial intelligence models

Filing History

APPLICATION FILING RECEIPT MAILED
Feb 16, 2026 MAFR
NEW APPLICATION ENTERED
Feb 16, 2026 NWAP