USPTO trademark

EARLYTOWIQ

Under examinationUSPTOWord markClass 42

"EARLYTOWIQ" is a word mark owned by Copart, Inc., filed at the USPTO on July 13, 2025. It is under examination and covers class 42 (Computer and Scientific Services).

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Data current as of September 22, 2026Official USPTO record

As filed with the USPTO

Status: Under examination; Since August 5, 2026
Filed: July 13, 2025
Registered: Not yet
Expires: Not recorded
Application no.: 99281058
Registration no.: Not yet
Office: USPTO; United States Patent and Trademark Office
Mark type: Word mark; 1 class

Ownership

Who owns EARLYTOWIQ

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

Owner

Copart, Inc.

CPRT · Dallas, United States

96 trademarks in the portfolioView company

Representative

Rob LeBlanc

Greenberg Traurig, LLP

Goods and services

What the mark covers

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

42Class 42 · Computer and Scientific Services
Providing online non-downloadable software for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on scoring metrics in the nature of structured questionnaire responses and correlative statistical models; Providing online non-downloadable software featuring software for generating total loss predictions for vehicles damaged by collision, flood, hail, vandalism, or other wreckage events; Providing online non-downloadable software featuring software for generating assessments of vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification for use in insurance claims processing; Software as a service (SaaS) featuring software for generating predictions as to the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired based on scoring metrics; Software as a service (SaaS) featuring software for generating predictions as to the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on scoring metrics in the nature of structured questionnaire responses and correlative statistical models; Software as a service (SaaS) featuring software for generating total loss predictions for vehicles damaged by collision, flood, hail, vandalism, or other wreckage events; Software as a service (SaaS) featuring software for generating assessments of vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification for use in insurance claims processing; Platform as a service (PaaS) services featuring computer software platforms for generating predictions as to the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired using scoring metrics; Platform as a service (PaaS) services featuring computer software platforms for generating predictions as to the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on scoring metrics in the nature of structured questionnaire responses and correlative statistical models; Platform as a service (PaaS) services featuring computer software platforms for generating total loss predictions for vehicles damaged by collision, flood, hail, vandalism, or other wreckage events; Platform as a service (PaaS) services featuring computer software platforms for generating assessments of vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification for use in insurance claims processing; Providing an interactive website featuring technology that allows users to generate predictions as to the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired based on scoring metrics; Providing an interactive website featuring technology that allows users to generate predictions as to the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on scoring metrics in the nature of structured questionnaire responses and correlative statistical models; Providing an interactive website featuring technology for generating total loss predictions for vehicles damaged by collision, flood, hail, vandalism, or other wreckage events; Providing an interactive website featuring technology that allows users to generate assessments of vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification for use in insurance claims processing; Providing online non-downloadable software featuring software for generating predictions as to the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired based on scoring metrics

History

What has happened so far

Steps recorded by the USPTO, newest first.

September 22, 2026Application extension granted/receipt provided
September 22, 2026Application extension to response period - received
August 5, 2026Notification of final refusal emailed
August 5, 2026Final refusal e-mailed
August 5, 2026Final refusal written
June 8, 2026Teas/email correspondence entered
June 8, 2026Correspondence received in law office
June 8, 2026Teas response to office action received
February 2, 2026Application extension granted/receipt provided
February 2, 2026Application extension to response period - received

7 earlier steps on the official record.

FAQ

About EARLYTOWIQ

Who owns the trademark "EARLYTOWIQ"?

The USPTO trademark "EARLYTOWIQ" (application 99281058) is owned by Copart, Inc.

What is the status of "EARLYTOWIQ"?

Its status at the USPTO is: under examination.

API

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GET /v1/trademarks/{id}

ID=tm_019d2af6-77d9-748c-8f70-cbbdf535ee3a
curl https://api.signa.so/v1/trademarks/$ID \
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Response

{
  "id": "tm_019d2af6-77d9-748c-8f70-cbbdf535ee3a",
  "object": "trademark",
  "mark_text": "EARLYTOWIQ",
  "status": {
    "primary": "pending",
    "stage": "examining"
  },
  "office_code": "US",
  "application_number": "99281058",
  "filing_date": "2025-07-13",
  "nice_classes": [
    42
  ],
  "owners": [
    {
      "name": "Copart, Inc.",
      "entity_id": "ent_019fbd5d-1c1a-74a5-a6fd-1047661344bb"
    }
  ]
}