EUIPO trademark

CO.AI

RegisteredEUIPOWord markClass 36Class 42

"CO.AI" is a word mark owned by Copart, Inc., filed at the EUIPO on July 15, 2025. It is registered and covers classes 36 and 42.

Official EUIPO record
CO.AI
Word mark as filed with the EUIPO
Status
Registered
Since January 13, 2026
Filed
July 15, 2025
Registered
December 28, 2025
Expires
July 15, 2035
Application no.
019218166
Registration no.
019218166
Office
EUIPO
European Union Intellectual Property Office
Mark type
Word mark
2 classes
Ownership

Who owns CO.AI

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

96 trademarks in the portfolioView company

Representative

Greenberg Traurig, LLP

Greenberg Traurig, LLP

Goods and services

What the mark covers

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

  • Financial valuations; valuation services related to motor vehicles; Providing vehicle valuation information and financial analysis services using predictive analytics and historical vehicle sales data; providing financial information in the nature of predicted resale values and market valuations for vehicles; Providing financial information and valuation services in the field of automobiles, namely, sale price prediction, damage assessment, and insurance valuation using predictive modeling of vehicle images and metadata; providing insurance consulting services relating to total loss determination, owner retain value calculation, and vehicle condition classification; providing vehicle value estimation for use in insurance claims processing and settlement optimization

  • Providing online non-downloadable software featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata to generate predictive outputs related to vehicle pricing and value; Providing online non-downloadable software featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, identification of vehicle damage, identification of shop tear-down, namely, detecting whether a vehicle has been disassembled by a repair facility, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Providing online non-downloadable software using neural networks and supervised learning algorithms to process and evaluate digital images of vehicles to forecast individual unit sale prices and identify vehicle condition attributes; Providing online non-downloadable software for analyzing photographic data to detect undisclosed damage, assess shop tear-down status, and support total loss versus repair decisions; Providing online non-downloadable software featuring computer vision-based tools for evaluating vehicle images and historical sales data to produce predicted resale values, reserve pricing, and optimal sales channel recommendations; Software as a service (SaaS) featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata to generate predictive outputs related to vehicle pricing and value; Software as a service (SaaS) featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, identification of vehicle damage, identification of shop tear-down, namely, detecting whether a vehicle has been disassembled by a repair facility, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Software as a service (SaaS) featuring software using neural networks and supervised learning algorithms to process and evaluate digital images of vehicles to forecast individual unit sale prices and identify vehicle condition attributes; Software as a service (SaaS) featuring software for analyzing photographic data to detect undisclosed damage, assess shop tear-down status, and support total loss versus repair decisions; Software as a service (SaaS) featuring computer vision-based tools for evaluating vehicle images and historical sales data to produce predicted resale values, reserve pricing, and optimal sales channel recommendations; Platform as a service (PaaS) featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata to generate predictive outputs related to vehicle pricing and value; Platform as a service (PaaS) featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, identification of vehicle damage, identification of shop tear-down, namely, detecting whether a vehicle has been disassembled by a repair facility, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Platform as a service (PaaS) featuring neural networks and supervised learning algorithms to process and evaluate digital images of vehicles to forecast individual unit sale prices and identify vehicle condition attributes; Platform as a service (PaaS) featuring technology for analyzing photographic data to detect undisclosed damage, assess shop tear-down status, and support total loss versus repair decisions; Platform as a service (PaaS) featuring computer vision-based tools for evaluating vehicle images and historical sales data to produce predicted resale values, reserve pricing, and optimal sales channel recommendations; Providing an interactive website featuring artificial intelligence and machine learning software that analyzes vehicle images and associated metadata to generate predictive outputs related to vehicle pricing and value; Providing an interactive website featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, identification of vehicle damage, identification of shop tear-down, namely, detecting whether a vehicle has been disassembled by a repair facility, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Providing an interactive website featuring neural networks and supervised learning algorithms to process and evaluate digital images of vehicles to forecast individual unit sale prices and identify vehicle condition attributes; Providing an interactive website featuring technology for analyzing photographic data to detect undisclosed damage, assess shop tear-down status, and support total loss versus repair decisions; Providing an interactive website featuring technology computer vision-based tools for evaluating vehicle images and historical sales data to produce predicted resale values, reserve pricing, and optimal sales channel recommendations; Providing online non-downloadable software featuring machine learning algorithms for predicting and generating vehicle sale prices based on historical sales data and vehicle metadata; Providing online non-downloadable software featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Providing online non-downloadable software featuring software using supervised machine learning algorithms for predictive analytics in the field of vehicle sales; Software as a service (SaaS) featuring machine learning algorithms for predicting and generating vehicle sale prices based on historical sales data and vehicle metadata; Software as a service (SaaS) featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Software as a service (SaaS) services featuring software using supervised machine learning algorithms for predictive analytics in the field of vehicle sales; Platform as a service (PaaS) featuring machine learning algorithms for predicting and generating vehicle sale prices based on historical sales data and vehicle metadata; Platform as a service (PaaS) featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Platform as a service (PaaS) featuring supervised machine learning algorithms for predictive analytics in the field of vehicle sales; Providing an interactive website featuring machine learning algorithms for predicting and generating vehicle sale prices based on historical sales data and vehicle metadata; Providing an interactive website featuring predictive analytics tools related to vehicle sales and auctions, namely, vehicle valuation, vehicle total loss determination, owner retention valuation, reserve price setting, sales platform selection, and sales channel recommendations; Providing an interactive website featuring supervised machine learning algorithms for predictive analytics in the field of vehicle sales; 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; Providing online non-downloadable software featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired; Providing online non-downloadable software featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on 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 events; Providing online non-downloadable software featuring software that supports insurance claims processing by assessing vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification; Software as a service (SaaS) featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired; Software as a service (SaaS) featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on 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 events; Software as a service (SaaS) featuring software featuring software that supports insurance claims processing by assessing vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification; Platform as a service (PaaS) featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired; Platform as a service (PaaS) featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on structured questionnaire responses and correlative statistical models; Platform as a service (PaaS) for generating total loss predictions for vehicles damaged by collision, flood, hail, vandalism, or other events; Platform as a service (PaaS) featuring technology that supports insurance claims processing by assessing vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification; Providing an interactive website featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier or can be repaired; Providing an interactive website featuring scoring tools for predicting the likelihood that a vehicle will be deemed a total loss by an insurance carrier based on 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 events; Providing an interactive website featuring technology that supports insurance claims processing by assessing vehicle damage severity through structured inputs and delivering classification outputs for early total loss identification

History

What has happened so far

Steps recorded by the EUIPO, newest first.

  1. Bulletin 2026/005 Section B.1
  2. Bulletin 2025/176 Section A.1
FAQ

About CO.AI

Who owns the trademark "CO.AI"?

The EUIPO trademark "CO.AI" (application 019218166) is owned by Copart, Inc.

What is the status of "CO.AI"?

Its status at the EUIPO is: registered.

When was "CO.AI" registered?

It was registered on December 28, 2025 and is due to expire on July 15, 2035.

API

Get this data via the API

Everything on this page comes from the Signa API. Pull CO.AI and marks like it into your own product with one request.

  • GET/v1/trademarks/{id}

    The full record: owners, classes, dates and images

  • GET/v1/trademarks/{id}/events

    Every step in the office history

  • GET/v1/proceedings?trademark_id={id}

    Oppositions and cancellations against the mark

GET /v1/trademarks/{id}
ID=tm_019d484f-899f-7074-8daa-64938f15bbe7
curl https://api.signa.so/v1/trademarks/$ID \
  -H "Authorization: Bearer $SIGNA_API_KEY"
Response
{
  "id": "tm_019d484f-899f-7074-8daa-64938f15bbe7",
  "object": "trademark",
  "mark_text": "CO.AI",
  "status": {
    "primary": "active",
    "stage": "registered"
  },
  "office_code": "EM",
  "application_number": "019218166",
  "filing_date": "2025-07-15",
  "nice_classes": [
    36,
    42
  ],
  "owners": [
    {
      "name": "Copart, Inc.",
      "entity_id": "ent_019fbd5d-1c1a-74a5-a6fd-1047661344bb"
    }
  ]
}