USPTO serial 99281046
CO.AI
Reviewed by CopyMark Law Group
Status 688Notice of Allowance
- Filing date
- Status date
- Registration date
- —
- Examiner
- WELCH, KATHERINE E
- Law office
- INTENT TO USE SECTION
What this means
The USPTO has issued a Notice of Allowance. To complete registration you generally need to file a Statement of Use or an extension request before the deadline.
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Owner
Dallas, TX, US
Dallas, TX, US
Attorney of record
The USPTO lists this attorney as the applicant's representative for correspondence on this application.
Rob LeBlanc
Rob LeBlanc GREENBERG TRAURIG, LLP2200 Ross Avenue, Suite 5200DALLAS, TX 75201United StatesGoods and services
| Class | Description | Status | First use |
|---|---|---|---|
| 036 | Financial valuations; Financial valuation services related to motor vehicles; Providing financial valuation information for vehicles 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 financial 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 financial valuation for vehicles for use in insurance claims processing and settlement optimization | ACTIVE | — |
| 042 | 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 for data aggregation, processing, analysis, modeling, scoring, forecasting, benchmarking, optimization, simulation, classification, recommendation generation, automated decision-support, risk assessment, fraud detection, and workflow automation 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 software incorporating predictive analytics tools for data aggregation, processing, analysis, modeling, scoring, forecasting, benchmarking, optimization, simulation, classification, recommendation generation, automated decision-support, risk assessment, fraud detection, and workflow automation 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 software incorporating 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 computer software platforms incorporating 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 computer software platforms incorporating predictive analytics tools for data aggregation, processing, analysis, modeling, scoring, forecasting, benchmarking, optimization, simulation, classification, recommendation generation, automated decision-support, risk assessment, fraud detection, and workflow automation 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 computer software platforms incorporating 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 computer software platforms incorporating 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 software platforms incorporating 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 technology incorporating artificial intelligence and machine learning software that allows users to analyze vehicle images and associated metadata to generate predictive outputs related to vehicle pricing and value; Providing an interactive website featuring technology incorporating predictive analytics tools that allows users to perform data aggregation, processing, analysis, modeling, scoring, forecasting, benchmarking, optimization, simulation, classification, recommendation generation, automated decision-support, risk assessment, fraud detection, and workflow automation 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 technology incorporating neural networks and supervised learning algorithms that allows users 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 incorporating 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 for data aggregation, processing, analysis, modeling, scoring, forecasting, benchmarking, optimization, simulation, classification, recommendation generation, automated decision-support, risk assessment, fraud detection, and workflow automation 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 software incorporating machine learning algorithms for predicting and generating vehicle sale prices based on historical sales data and vehicle metadata; Software as a service (SaaS) featuring software incorporating 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 computer software platforms incorporating machine learning algorithms for predicting and generating vehicle sale prices based on historical sales data and vehicle metadata; Platform as a service (PaaS) featuring computer software platforms incorporating 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 computer software platforms incorporating supervised machine learning algorithms for predictive analytics in the field of vehicle sales; Providing an interactive website featuring technology incorporating machine learning algorithms for predicting and generating vehicle sale prices based on historical sales data and vehicle metadata; Providing an interactive website featuring technology incorporating predictive analytics tools that allows users to perform data aggregation, processing, analysis, modeling, scoring, forecasting, benchmarking, optimization, simulation, classification, recommendation generation, automated decision-support, risk assessment, fraud detection, and workflow automation 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 technology incorporating 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 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 software incorporating neural networks and supervised learning models to analyze vehicle photographs and collision-related data for total loss classification; Software as a service (SaaS) featuring software incorporating computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Software as a service (SaaS) featuring software incorporating 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 platforms that analyze 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 computer software platforms incorporating 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 software platforms incorporating computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Platform as a service (PaaS) featuring computer software platforms incorporating image-based classification tools for use in insurance claims assessment and total loss determination; Providing an interactive website featuring technology incorporating 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 technology incorporating neural networks and supervised learning models to analyze vehicle photographs and collision-related data for total loss classification; Providing an interactive website featuring technology incorporating computer vision and image analysis to identify vehicles most likely to be deemed total losses by insurance carriers; Providing an interactive website featuring technology incorporating 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 for generating total loss predictions for vehicles damaged by collision, flood, hail, vandalism, or other events; Providing online non-downloadable 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 software incorporating 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 software incorporating 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 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 computer software platforms incorporating 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 computer software platforms incorporating 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) featuring computer software platforms for generating total loss predictions for vehicles damaged by collision, flood, hail, vandalism, or other events; Platform as a service (PaaS) featuring computer software platforms incorporating 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 technology incorporating 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 technology incorporating 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 | ACTIVE | — |
Related trademarks
CopyMark links this record to cited §2(d) serials, the owner's other marks, Nice classes, similar mark names, and recently changed USPTO applications.
Prosecution history
| Date | Code | Event | What it means |
|---|---|---|---|
| Sep 1, 2026 | NOAM | NOA E-MAILED - SOU REQUIRED FROM APPLICANT | A Notice of Allowance means your intent-to-use application cleared examination and opposition but is not registered yet. You must file a Statement of Use showing the mark in commerce, or request an extension, before the deadline — usually six months from the notice date. |
| Jul 7, 2026 | NPUB | OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED | — |
| Jul 7, 2026 | PUBO | PUBLISHED FOR OPPOSITION | Your mark was published in the USPTO Official Gazette for a 30-day opposition window. During that period, third parties who believe they would be harmed can file an opposition. If no opposition is filed, prosecution usually continues toward registration or a Notice of Allowance. |
| Jul 1, 2026 | NONP | NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED | — |
| Jun 9, 2026 | CNSA | APPROVED FOR PUB - PRINCIPAL REGISTER | — |
| Jun 3, 2026 | TEME | TEAS/EMAIL CORRESPONDENCE ENTERED | — |
| Jun 3, 2026 | CRFA | CORRESPONDENCE RECEIVED IN LAW OFFICE | — |
| Jun 3, 2026 | TROA | TEAS RESPONSE TO OFFICE ACTION RECEIVED | This event means the applicant filed a response to a USPTO Office Action — typically arguments, amendments, or evidence addressing the examiner's objections. The USPTO will review the response and either allow the mark to proceed or issue another action. |
| Mar 2, 2026 | XELG | APPLICATION EXTENSION GRANTED/RECEIPT PROVIDED | — |
| Mar 2, 2026 | XELR | APPLICATION EXTENSION TO RESPONSE PERIOD - RECEIVED | — |
| Dec 11, 2025 | GNRN | NOTIFICATION OF NON-FINAL ACTION E-MAILED | A non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application. |
| Dec 11, 2025 | GNRT | NON-FINAL ACTION E-MAILED | A non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application. |
| Dec 11, 2025 | CNRT | NON-FINAL ACTION WRITTEN | A non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application. |
| Dec 2, 2025 | DOCK | ASSIGNED TO EXAMINER | — |
| Nov 20, 2025 | NWOS | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED | — |
| Jul 13, 2025 | MAFR | APPLICATION FILING RECEIPT MAILED | — |
| Jul 13, 2025 | NWAP | NEW APPLICATION ENTERED | — |