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 99281056. 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...
General Information
| Serial Number | 99281056 |
| Word Mark | RAPID TOTAL LOSS.AI |
| Filing Date | Sunday, July 13, 2025 |
| Status | 641 - NON-FINAL ACTION - MAILED |
| Status Date | Friday, December 12, 2025 |
| Registration Number | 0000000 |
| Registration Date | NOT AVAILABLE |
| Mark Drawing | 4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form |
| Published for Opposition Date | NOT AVAILABLE |
Trademark Statements
| Goods and Services | 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 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 Mark | RAPID TOTAL LOSS ARTIFICIAL INTELLIGENCE |
Classification Information
| International Class | 042 - 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 Codes | 100, 101 |
| Class Status Code | 6 - Active |
| Class Status Date | Sunday, July 13, 2025 |
| Primary Code | 042 |
| First Use Anywhere Date | NOT AVAILABLE |
| First Use In Commerce Date | NOT AVAILABLE |
Trademark Owner History
| Party Name | Copart, Inc. |
| Party Type | 10 - Original Applicant |
| Legal Entity Type | 03 - Corporation |
| Address | Dallas, TX 75254 |
Trademark Events
| Event Date | Event Description |
| Sunday, July 13, 2025 | NEW APPLICATION ENTERED |
| Sunday, July 13, 2025 | APPLICATION FILING RECEIPT MAILED |
| Thursday, November 20, 2025 | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED |
| Tuesday, December 2, 2025 | ASSIGNED TO EXAMINER |
| Friday, December 12, 2025 | NON-FINAL ACTION WRITTEN |
| Friday, December 12, 2025 | NON-FINAL ACTION E-MAILED |
| Friday, December 12, 2025 | NOTIFICATION OF NON-FINAL ACTION E-MAILED |
