Legal Representation
Attorney
Ned T. Himmelrich
USPTO Deadlines
Application History
22 events| Date | Code | Type | Description | Documents |
|---|---|---|---|---|
| May 17, 2025 | AITU | A | CASE ASSIGNED TO INTENT TO USE PARALEGAL | Loading... |
| Feb 27, 2025 | ERTD | I | TEAS REQUEST TO DIVIDE RECEIVED | Loading... |
| Feb 27, 2025 | EISU | I | TEAS STATEMENT OF USE RECEIVED | Loading... |
| Feb 27, 2025 | EEXT | I | SOU TEAS EXTENSION RECEIVED | Loading... |
| Feb 20, 2025 | TCCA | I | TEAS CHANGE OF CORRESPONDENCE RECEIVED | Loading... |
| Feb 20, 2025 | ARAA | I | ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED | Loading... |
| Feb 20, 2025 | REAP | I | TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED | Loading... |
| Feb 20, 2025 | EWAF | I | TEAS WITHDRAWAL OF ATTORNEY RECEIVED-FIRM RETAINS | Loading... |
| Aug 27, 2024 | NOAM | E | NOA E-MAILED - SOU REQUIRED FROM APPLICANT | Loading... |
| Jul 2, 2024 | NPUB | E | OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED | Loading... |
| Jul 2, 2024 | PUBO | A | PUBLISHED FOR OPPOSITION | Loading... |
| Jun 12, 2024 | NONP | E | NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED | Loading... |
| May 29, 2024 | CNSA | P | APPROVED FOR PUB - PRINCIPAL REGISTER | Loading... |
| May 28, 2024 | TROA | I | TEAS RESPONSE TO OFFICE ACTION RECEIVED | Loading... |
| May 28, 2024 | CRFA | I | CORRESPONDENCE RECEIVED IN LAW OFFICE | Loading... |
| May 28, 2024 | TEME | I | TEAS/EMAIL CORRESPONDENCE ENTERED | Loading... |
| Feb 28, 2024 | GNRT | F | NON-FINAL ACTION E-MAILED | Loading... |
| Feb 28, 2024 | CNRT | R | NON-FINAL ACTION WRITTEN | Loading... |
| Feb 28, 2024 | GNRN | O | NOTIFICATION OF NON-FINAL ACTION E-MAILED | Loading... |
| Feb 28, 2024 | DOCK | D | ASSIGNED TO EXAMINER | Loading... |
| Jul 11, 2023 | NWOS | I | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED | Loading... |
| Jun 10, 2023 | NWAP | I | NEW APPLICATION ENTERED | Loading... |
Detailed Classifications
Class 042
Software as a service (SAAS) services featuring software for monitoring artificial intelligence systems to ensure they are producing outcomes that are valid, verified, data-driven, trustworthy, explainable to a layman, ethical in the context of its deployment, unbiased in its learning, and fair to their users
Additional Information
Pseudo Mark
WE ARE ARTIFICIAL INTELLIGENCE
Classification
International Classes
042