EVIDENCE LAKE - Trademark Details
Status: 602 - Abandoned-Failure To Respond Or Late Response
Image for trademark with serial number 87746732
Serial Number
87746732
Word Mark
EVIDENCE LAKE
Status
602 - Abandoned-Failure To Respond Or Late Response
Status Date
2020-03-10
Filing Date
2018-01-08
Mark Drawing
4000 - Standard character mark Typeset
Published for Opposition Date
2019-01-08
Law Office Assigned Location Code
L30
Employee Name
MACIOL, GENE V J
Statements
Disclaimer with Predetermined Text
"EVIDENCE"
Goods and Services
Information, advice and consultancy relating to the monitoring and detection of financial transactions for fraud and money laundering; detecting and preventing suspicious financial behavior and reducing monetary losses; information, advice and consultancy relating to financial risk management; advice and consultancy on financial transactions and behavior that can be identified for filing as evidence of financial crimes to regulatory authorities
Goods and Services
Computer services, namely, operating and managing dynamic computer networks and electronic data storage for others to monitor and detect financial fraud; software-as-a-service (SAAS) services for ingesting, normalizing, analyzing, and evaluating financial transactions and behaviour using advanced risk scoring and model validation, monitoring electronic data and multi-payment channels including online, mobile and internet-of-things type of devices for correlation and analytics of fraud and money laundering events of interest such as user identity virtual recognition using risk-based multi-factor authentication, device finger printing, facial recognition combined with behavioral risk scoring of payment activities and tasks, normalizing of fraud and money laundering events of interest for advanced risk scoring and alerts, and recording of fraud and money laundering events of interest and filing or submission of recorded events of interest with or to regulatory authorities; software-as-a-service (SAAS) services for analyzing and evaluating financial data for advanced risk scoring and model validation, monitoring electronic data and online financial transactions for correlation and analytics of current events, analysis of customer identity using log-in credentials, facial recognition, and other fraud detection methods, customer relationship management, monitoring and analysis of suspicious financial transactions, performing computer network benchmarking to create a baseline of normal financial activity, detecting anomalous or suspicious financial activity, investigating linked webpage relationships and activities by evaluating and analyzing weblinks, source code, and geographic data, and generating and transmitting electronic and written reports and electronic filings to regulatory authorities; Software-as-a-service (SAAS) services for machine learning (ML) computer systems that improve performance by utilizing pattern recognition and computational theory to construct algorithms that can improve performance and make predictions for use in financial and identity fraud monitoring and detection; Software-as-a-service (SAAS) services for segmenting customers to determine threshold parameters of behavioral data obtained from these segments to use in future machine learning (ML) computer systems for use in financial and identify monitoring and detection; Software-as-a-service (SAAS) services for determining and setting threshold parameters for financial and identify fraud risk scoring machine learning (ML) computer systems; Software-as-a-service (SAAS) services using advanced machine learning algorithms for determining effective threshold values of behavioral data to use in any given scenario for successful detection of high risk events including financial and identity fraud; Testing the performance of online computer software that uses machine learning models prior to going live with a dry run of an alert-generation cycle in a test environment; Maintaining and updating of online computer software that uses machine learning models on a periodic basis to generate and investigate alerts below financial and identity fraud risk scoring thresholds; Software-as-a-service (SAAS) services for providing risk assessment for any event-of-interest including detection and scoring of financial and identify fraud risk by advanced cloud services driven artificial intelligence, machine learning and behavioural analytics; Software-as-a-service (SAAS) services for multi-channel payment fraud detection and assignment of risk scores for financial transactions including automated clearing house purchases, wiring services, online purchases, and mobile purchases; Software-as-a-service (SAAS) services for supplier portal fraud detection and analytics, namely, for protecting data and information from unauthorized access; Software-as-a-service (SAAS) services for money laundering detection, evaluating financial risk, assigning a credit rating to customers, assigning a risk rating to financial transactions, evaluating financial transactions for potential government or financial institution sanctions, reviewing government criminal watchlists, evaluating the impact of negative news from financial transactions and institutions, generating currency transaction report filings and suspicious activity report filings, analyzing web links and source code for irregularities, managing financial data and risk alerts and for storing, managing, and editing electronic data, including electronic documents and computer media and image files; Software-as-a-service (SAAS) services for real-time financial and identity risk assessment and scoring of anomalies of subscriber registered events-of-interest; Flexible public, managed on-premise, or managed hybrid cloud computing services featuring software for enabling the collection, analysis, processing, preservation, and reporting of events-of-interest in the form of electronic evidence of financial and identity fraud risk
Classification Information
International Class
036 - Insurance; financial affairs; monetary affairs; real estate affairs. - Insurance; financial affairs; monetary affairs; real estate affairs.
US Class Codes
100, 101, 102
Class Status Code
6 - Active
Class Status Date
2018-01-22
Primary Code
036
First Use Anywhere Date
2018-02-21
First Use In Commerce Date
2018-02-21
International Class
042 - Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software; legal services. - Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software; legal services.
US Class Codes
100, 101
Class Status Code
6 - Active
Class Status Date
2018-01-22
Primary Code
042
First Use Anywhere Date
2018-02-21
First Use In Commerce Date
2018-02-21
Correspondences
Name
KIRK M. MILES, REGISTRATION NO. 37,891
Address
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Trademark Events
Event DateEvent Description
2018-01-11NEW APPLICATION ENTERED IN TRAM
2018-01-22NEW APPLICATION OFFICE SUPPLIED DATA ENTERED IN TRAM
2018-04-17ASSIGNED TO EXAMINER
2018-05-05NON-FINAL ACTION WRITTEN
2018-05-05NON-FINAL ACTION E-MAILED
2018-05-05NOTIFICATION OF NON-FINAL ACTION E-MAILED
2018-11-05TEAS RESPONSE TO OFFICE ACTION RECEIVED
2018-11-05CORRESPONDENCE RECEIVED IN LAW OFFICE
2018-11-05TEAS/EMAIL CORRESPONDENCE ENTERED
2018-11-19APPROVED FOR PUB - PRINCIPAL REGISTER
2018-12-19NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
2019-01-08PUBLISHED FOR OPPOSITION
2019-01-08OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
2019-03-05NOA E-MAILED - SOU REQUIRED FROM APPLICANT
2019-07-09TEAS STATEMENT OF USE RECEIVED
2019-07-29CASE ASSIGNED TO INTENT TO USE PARALEGAL
2019-07-09USE AMENDMENT FILED
2019-07-29STATEMENT OF USE PROCESSING COMPLETE
2019-08-20SU - NON-FINAL ACTION - WRITTEN
2019-08-20NON-FINAL ACTION E-MAILED
2019-08-20NOTIFICATION OF NON-FINAL ACTION E-MAILED
2020-03-10ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE
2020-03-11ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND