CO.AI Trademark

Trademark Overview


On Sunday, July 13, 2025, a trademark application was filed for CO.AI with the United States Patent and Trademark Office. The USPTO has given the CO.AI trademark a serial number of 99281045. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Sunday, July 13, 2025. This trademark is owned by Copart, Inc.. The CO.AI trademark is filed in the Insurance & Financial Services and Computer & Software Services & Scientific Services categories with the following description:

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 d...
co.ai

General Information


Serial Number99281045
Word MarkCO.AI
Filing DateSunday, July 13, 2025
Status630 - NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER
Status DateSunday, July 13, 2025
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing0 - NOT AVAILABLE
Published for Opposition DateNOT AVAILABLE

Trademark Statements


Description of MarkThe mark consists of the stylized wording Co.ai where the . is represented by a four-pointed stylized period.
Goods and ServicesFinancial 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
Goods and ServicesProviding 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 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

Classification Information


International Class036 - Insurance; financial affairs; monetary affairs; real estate affairs.
US Class Codes100, 101, 102
Class Status Code6 - Active
Class Status DateSunday, July 13, 2025
Primary Code036
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

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