RAPID TOTAL LOSS.AI
DEAD

Serial Number

99281056

Owner

Copart, Inc.

Attorney

Rob LeBlanc

Filing Date

Jul 13, 2025

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RAPID TOTAL LOSS.AI Trademark

Serial Number: 99281056

RAPID TOTAL LOSS.AI is a trademark filed by Copart, Inc. on July 13, 2025. The trademark is classified under Class 42 (Computer & Scientific). The application is currently no longer active.

Owner Contact Info

Copart, Inc. (4 trademarks)

14185 Dallas Parkway, Suite 300
Dallas, TX 75254

Entity Type: 03

Trademark Details

Filing Date

July 13, 2025

Registration Date

Not Registered

Goods & 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

Filing History

ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND
Apr 1, 2026 MAB2
ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE
Apr 1, 2026 ABN2
NOTIFICATION OF NON-FINAL ACTION E-MAILED
Dec 12, 2025 GNRN
NON-FINAL ACTION E-MAILED
Dec 12, 2025 GNRT
NON-FINAL ACTION WRITTEN
Dec 12, 2025 CNRT
ASSIGNED TO EXAMINER
Dec 2, 2025 DOCK
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Nov 20, 2025 NWOS
APPLICATION FILING RECEIPT MAILED
Jul 13, 2025 MAFR
NEW APPLICATION ENTERED
Jul 13, 2025 NWAP