USPTO serial 99558594
Reviewed by CopyMark Law Group
The USPTO has issued a Notice of Allowance. To complete registration you generally need to file a Statement of Use or an extension request before the deadline.
If you own this trademark, we can monitor new filings and help with USPTO deadlines. If you do not, we can file a new U.S. application.
Plus Government fees of $300
San Francisco, CA, US
San Francisco, CA, US
The USPTO lists this attorney as the applicant's representative for correspondence on this application.
Aaron D. Hendelman
Aaron D. Hendelman Wilson Sonsini Goodrich & Rosati650 Page Mill RoadPalo Alto, CA 94304-1050United States| Class | Description | Status | First use |
|---|---|---|---|
| 009 | Downloadable computer software for performing reinforcement learning training and fine-tuning in order to update language models with new data in real time; Downloadable computer software for improving AI agents through reinforcement learning techniques, namely reward automation and environment generation; Downloadable computer software using artificial intelligence (AI) for real-time reinforcement learning and online learning services for continuous AI model adaptation; Downloadable computer software for benchmarking performance of operations involved in deep learning models in the field of artificial intelligence hardware; Downloadable computer software for developing and operating artificial intelligence-based applications; Downloadable computer software for creating and deploying autonomous agents; Downloadable computer software and programs for sharing datasets for the purpose of machine learning, predictive analytics, and building language and image models, for developing and implementing artificial neural networks, for simulation environments for the purpose of testing artificial intelligence agents, algorithms, or programs, and for using, customizing, fine-tuning, and adapting artificial intelligence models; Downloadable computer software for facilitating multi-modal natural language, speech, text, image, video, and sound input; Downloadable software for taking user sessions in the form of function calls and automatically turning that data into an environment; Downloadable software that uses reinforcement learning to train language models and create a continuous, self-improving model; Downloadable computer software for continual learning and adaptation of artificial intelligence systems based on user interactions, feedback, and operational data; Downloadable computer software for building, operating, and improving artificial intelligence agents that perform tasks, workflows, and decision-making functions; Downloadable computer software for updating, adapting, and improving machine learning and language models over time based on real-world usage; Downloadable computer software for converting user interactions, system traces, and operational data into training data and environments for artificial intelligence systems; Downloadable computer software for artificial intelligence systems that learn and improve over time; downloadable computer software and hardware for reinforcement learning for artificial intelligence platforms specifically for improvement of AI agents through reinforcement learning techniques | ACTIVE | — |
| 042 | Software as a service (SAAS) services featuring computer software platforms for artificial intelligence platforms specifically for improvement of AI agents through reinforcement learning techniques; Software as a service (SAAS) services for developing and operating artificial intelligence-based applications; Software as a service (SAAS) services featuring software for creating and deploying autonomous agents; Software as a service (SAAS) services for taking user sessions in the form of function calls and automatically turning that data into an environment; Software as a service (SAAS) services that uses reinforcement learning to train language models and create a continuous, self-improving model; Software as a service (SAAS) services for developing, deploying, monitoring, and improving artificial intelligence agents; Software as a service (SAAS) services for learning from user interactions, system behavior, and operational data to improve artificial intelligence model performance over time; Software as a service (SAAS) services for evaluating, monitoring, and improving the performance of artificial intelligence models and agents based on feedback and observed behavior; Software as a service (SAAS) services for orchestrating interactions between artificial intelligence agents and software tools, application programming interfaces (APIs), and computing systems; Software as a service (SAAS) services featuring artificial intelligence software that adapts and improves machine learning through ongoing use; Providing technological research in the fields of artificial intelligence, machine learning, artificial intelligence hardware and computer software design; Technical services, namely, technical advisory services in the fields of technology relating to artificial intelligence, computer science, multi-modal computer natural language processing, machine learning, reinforcement learning, and decision-making systems; scientific research services in the fields of artificial intelligence, computer science, multi-modal computer natural language processing, machine learning, reinforcement learning, and decision-making systems; providing temporary use of non-downloadable software for performing reinforcement learning training and fine-tuning in order to update language models with new data in real time; Providing temporary use of non-downloadable computer software for improving AI agents through reinforcement learning techniques, namely reward automation and environment generation; Providing online non-downloadable software using artificial intelligence (ai) for real-time reinforcement learning and online learning services for continuous ai model adaptation; Application service provider featuring application programming interface (api) software; Design and development of computer software and hardware for reinforcement learning; Providing product development and engineering services in the fields of artificial intelligence, computer science, multi-modal computer natural language processing, machine learning, artificial intelligence hardware and computer software design; Providing temporary use of non-downloadable software for continual learning, adaptation, and improvement of artificial intelligence systems based on ongoing use | ACTIVE | — |
CopyMark links this record to cited §2(d) serials, the owner's other marks, Nice classes, similar mark names, and recently changed USPTO applications.
| Date | Code | Event | What it means |
|---|---|---|---|
| Sep 29, 2026 | NOAM | NOA E-MAILED - SOU REQUIRED FROM APPLICANT | A Notice of Allowance means your intent-to-use application cleared examination and opposition but is not registered yet. You must file a Statement of Use showing the mark in commerce, or request an extension, before the deadline — usually six months from the notice date. |
| Aug 4, 2026 | NPUB | OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED | — |
| Aug 4, 2026 | PUBO | PUBLISHED FOR OPPOSITION | Your mark was published in the USPTO Official Gazette for a 30-day opposition window. During that period, third parties who believe they would be harmed can file an opposition. If no opposition is filed, prosecution usually continues toward registration or a Notice of Allowance. |
| Jul 29, 2026 | NONP | NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED | — |
| Jul 8, 2026 | CNSA | APPROVED FOR PUB - PRINCIPAL REGISTER | — |
| Jul 8, 2026 | GNEN | NOTIFICATION OF EXAMINERS AMENDMENT E-MAILED | — |
| Jul 8, 2026 | XAEC | EXAMINER'S AMENDMENT ENTERED | — |
| Jul 8, 2026 | GNEA | EXAMINERS AMENDMENT E-MAILED | — |
| Jul 8, 2026 | CNEA | EXAMINERS AMENDMENT -WRITTEN | — |
| Jul 7, 2026 | ZZZX | PREVIOUS ALLOWANCE COUNT WITHDRAWN | — |
| Jun 2, 2026 | PBCR | WITHDRAWN FROM PUB - OG REVIEW QUERY | — |
| May 11, 2026 | CNSA | APPROVED FOR PUB - PRINCIPAL REGISTER | — |
| May 11, 2026 | XAEC | EXAMINER'S AMENDMENT ENTERED | — |
| May 11, 2026 | GNEN | NOTIFICATION OF EXAMINERS AMENDMENT E-MAILED | — |
| May 11, 2026 | GNEA | EXAMINERS AMENDMENT E-MAILED | — |
| May 11, 2026 | CNEA | EXAMINERS AMENDMENT -WRITTEN | — |
| Apr 24, 2026 | GNRN | NOTIFICATION OF NON-FINAL ACTION E-MAILED | A non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application. |
| Apr 24, 2026 | GNRT | NON-FINAL ACTION E-MAILED | A non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application. |
| Apr 24, 2026 | CNRT | NON-FINAL ACTION WRITTEN | A non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application. |
| Apr 23, 2026 | DOCK | ASSIGNED TO EXAMINER | — |
| Dec 19, 2025 | MAFR | APPLICATION FILING RECEIPT MAILED | — |
| Dec 19, 2025 | NWOS | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED | — |
| Dec 19, 2025 | NWAP | NEW APPLICATION ENTERED | — |