RAPID TOTAL LOSS.AI
Dead / Abandoned — Abandoned — failure to respond (as of 01 Apr 2026)
What this means for you
This application is over — abandoned 13 Mar 2026. The name may be available, but check before relying on it — rights can also come from actual use, not only from the register.
Record
- Serial number
- 99281056
- Mark type
- Stylized text
- Filed
- 13 Jul 2025
- Abandoned
- 13 Mar 2026
- Attorney of record
- Rob LeBlanc
Goods and services
- Class 042 — Scientific and technological 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
Owner
- Copart, Inc., Dallas, TX, US
Prosecution history
- 01 Apr 2026 — ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND
- 01 Apr 2026 — ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE
- 12 Dec 2025 — NOTIFICATION OF NON-FINAL ACTION E-MAILED
- 12 Dec 2025 — NON-FINAL ACTION E-MAILED
- 12 Dec 2025 — NON-FINAL ACTION WRITTEN
- 02 Dec 2025 — ASSIGNED TO EXAMINER
- 20 Nov 2025 — NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
- 13 Jul 2025 — APPLICATION FILING RECEIPT MAILED
- 13 Jul 2025 — NEW APPLICATION ENTERED