USPTO trademark

TRAINIUM

Awaiting publicationUSPTOWord markClass 9Class 42

"TRAINIUM" is a word mark owned by Amazon Technologies, Inc., filed at the USPTO on June 4, 2026. It is waiting to be published and covers classes 9 and 42.

Official USPTO record
TRAINIUM trademark as filed
As filed with the USPTO
Status
Awaiting publication
Since October 23, 2026
Filed
June 4, 2026
Registered
Not yet
Expires
Not recorded
Application no.
99864871
Registration no.
Not yet
Office
USPTO
United States Patent and Trademark Office
Mark type
Word mark
2 classes
Ownership

Who owns TRAINIUM

The owner on file, matched to the company behind it. Every owner-name spelling for that company is grouped on its page.

Goods and services

What the mark covers

The products and services TRAINIUM is filed for, grouped by Nice class.

  • Computer hardware for training machine learning models across applications; Computer hardware for training and accelerating machine learning models for image recognition, natural language processing, speech recognition, translation, personalization, fraud detection, forecasting, autonomous vehicles, and recommendation engines; Computer hardware for machine learning acceleration across applications; Computer hardware specifically designed to facilitate the delivery of cloud computing services, namely, semiconductors, computer chips, integrated circuits, central processing units, electronic circuits and microprocessors; computer chips; computer hardware used for advanced cloud computing functions in the nature of machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; computer hardware for executing and accelerating machine learning inference workloads; computer hardware for deploying and running trained machine learning models in production environments; computer hardware for high-throughput, low-latency execution of artificial intelligence (AI) and machine learning inference; downloadable computer software for use in the operation of semiconductors, computer chips, and central processing units; downloadable computer software development tools; downloadable computer software for developing computer hardware; downloadable computer firmware and software for use in the operation of semiconductors, computer chips, and central processing units; downloadable computer software used for advanced cloud computing functions in the nature of machine learning, optimizing power, performance and cost for cloud computing services, and delivering cloud computing services at scale; downloadable computer software for operation, management and control of computer chips, central processing units and microprocessors; downloadable computer software using artificial intelligence (AI) for generating predictions, answering user prompts, and generating text, images, and video, and analyzing new data; downloadable computer software for performance monitoring, profiling, and debugging of machine learning model training and inference; machine learning (ML) computer accelerator chips; artificial intelligence (AI) graphic accelerator processors; all of the foregoing for use with custom machine learning chips

  • Providing temporary use of on-line non-downloadable cloud computing software for executing and accelerating machine learning inference workloads; Providing temporary use of on-line non-downloadable cloud computing software for deploying and running trained machine learning models in production environments; Providing temporary use of on-line non-downloadable cloud computing software for high-throughput, low-latency execution of artificial intelligence (AI) and machine learning inference; Providing temporary use of on-line non-downloadable cloud computing software for performance monitoring, profiling, and debugging of machine learning model training and inference; Providing temporary use of on-line non-downloadable cloud computing software using artificial intelligence (AI) for generating predictions, answering user prompts, and generating text, images, and video, and analyzing new data; Technical support services, namely, troubleshooting in the nature of diagnosing computer hardware, namely, custom artificial intelligence (AI) hardware; Advisory services for others in the field of optimizing machine learning workloads using specialized chips; all of the foregoing for use with custom machine learning chips

History

What has happened so far

Steps recorded by the USPTO, newest first.

  1. Approved for pub - principal register
  2. Teas/email correspondence entered
  3. Correspondence received in law office
  4. Teas response to office action received
  5. Notification of non-final action e-mailed
  6. Non-final action e-mailed
  7. Non-final action written
  8. Assigned to examiner
  9. New application office supplied data entered
  10. Application filing receipt mailed

1 earlier step on the official record.

FAQ

About TRAINIUM

Who owns the trademark "TRAINIUM"?

The USPTO trademark "TRAINIUM" (application 99864871) is owned by Amazon Technologies, Inc.

What is the status of "TRAINIUM"?

Its status at the USPTO is: awaiting publication.

API

Get this data via the API

Everything on this page comes from the Signa API. Pull TRAINIUM and marks like it into your own product with one request.

  • GET/v1/trademarks/{id}

    The full record: owners, classes, dates and images

  • GET/v1/trademarks/{id}/events

    Every step in the office history

  • GET/v1/proceedings?trademark_id={id}

    Oppositions and cancellations against the mark

GET /v1/trademarks/{id}
ID=tm_01a11ba3-74a9-7486-943c-0ee1bcf91693
curl https://api.signa.so/v1/trademarks/$ID \
  -H "Authorization: Bearer $SIGNA_API_KEY"
Response
{
  "id": "tm_01a11ba3-74a9-7486-943c-0ee1bcf91693",
  "object": "trademark",
  "mark_text": "TRAINIUM",
  "status": {
    "primary": "pending",
    "stage": "pending_publication"
  },
  "office_code": "US",
  "application_number": "99864871",
  "filing_date": "2026-06-04",
  "nice_classes": [
    9,
    42
  ],
  "owners": [
    {
      "name": "Amazon Technologies, Inc.",
      "entity_id": "ent_019eb6f8-bfb3-736b-be3c-c71ab7077b93"
    }
  ]
}