RAPID TOTAL LOSS.AI Trademark

Trademark Overview


On Sunday, July 13, 2025, a trademark application was filed for RAPID TOTAL LOSS.AI with the United States Patent and Trademark Office. The USPTO has given the RAPID TOTAL LOSS.AI trademark a serial number of 99281055. The federal status of this trademark filing is NON-FINAL ACTION - MAILED as of Friday, December 12, 2025. This trademark is owned by Copart, Inc.. The RAPID TOTAL LOSS.AI trademark is filed in the Computer & Software Services & Scientific Services category with the following description:

Providing online non-downloadable software featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata for classifying vehicle damage severity and predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier; Providing online non-downloadable software featuring neural networks and supervised learning models to analyze vehicle photographs and collision-related data for total loss classification; Providing online non-downloadable software featuring computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Providing online non-downloadable software featuring image-based classification tools for use in insurance claims assessment and total loss determination; Software as a service (SaaS) featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata for classifying vehicle damage severity an...
rapid total loss.ai

General Information


Serial Number99281055
Word MarkRAPID TOTAL LOSS.AI
Filing DateSunday, July 13, 2025
Status641 - NON-FINAL ACTION - MAILED
Status DateFriday, December 12, 2025
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing3 - Illustration: Drawing or design which also includes word(s) / letter(s) / number(s)
Published for Opposition DateNOT AVAILABLE

Trademark Statements


Goods and ServicesProviding online non-downloadable software featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata for classifying vehicle damage severity and predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier; Providing online non-downloadable software featuring neural networks and supervised learning models to analyze vehicle photographs and collision-related data for total loss classification; Providing online non-downloadable software featuring computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Providing online non-downloadable software featuring image-based classification tools for use in insurance claims assessment and total loss determination; Software as a service (SaaS) featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata for classifying vehicle damage severity and predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier; Software as a service (SaaS) featuring neural networks and supervised learning models to analyze vehicle photographs and collision-related data for total loss classification; Software as a service (SaaS) featuring computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Software as a service (SaaS) featuring image-based classification tools for use in insurance claims assessment and total loss determination; Platform as a service (PaaS) featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata for classifying vehicle damage severity and predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier; Platform as a service (PaaS) featuring neural networks and supervised learning models to analyze vehicle photographs and collision-related data for total loss classification; Platform as a service (PaaS) featuring computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Platform as a service (PaaS) featuring image-based classification tools for use in insurance claims assessment and total loss determination; Providing an interactive website featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata for classifying vehicle damage severity and predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier; Providing an interactive website featuring neural networks and supervised learning models to analyze vehicle photographs and collision-related data for total loss classification; Providing an interactive website featuring computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Providing an interactive website featuring image-based classification tools for use in insurance claims assessment and total loss determination
Pseudo MarkRAPID TOTAL LOSS AI
Pseudo MarkRAPID TOTAL LOSS ARTIFICIAL INTELLIGENCE
Description of MarkThe mark consists of a front-facing vehicle surrounded by an arched dome shape with protruding lines on the left of the terms Rapid Total Loss.AI.

Classification Information


International Class042 - Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software.
US Class Codes100, 101
Class Status Code6 - Active
Class Status DateSunday, July 13, 2025
Primary Code042
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

Trademark Owner History


Party NameCopart, Inc.
Party Type10 - Original Applicant
Legal Entity Type03 - Corporation
AddressDallas, TX 75254

Trademark Events


Event DateEvent Description
Sunday, July 13, 2025NEW APPLICATION ENTERED
Sunday, July 13, 2025APPLICATION FILING RECEIPT MAILED
Tuesday, November 18, 2025NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Tuesday, November 18, 2025NOTICE OF DESIGN SEARCH CODE E-MAILED
Tuesday, December 2, 2025ASSIGNED TO EXAMINER
Friday, December 12, 2025NON-FINAL ACTION WRITTEN
Friday, December 12, 2025NON-FINAL ACTION E-MAILED
Friday, December 12, 2025NOTIFICATION OF NON-FINAL ACTION E-MAILED