EVIDENCE LAKE
Guardian Analytics, Inc.
Application Filed: 2018-01-08
Trademark Application Details
PUBLISHED FOR OPPOSITION
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| Serial Number | 87746732 |
| Mark Drawing Code | 4000: Illustration: Drawing with word(s)/letter(s)/number(s) in Block form |
| Attorney Name | Kirk M. Miles, Registration No. 37,891 |
| Attorney Docket Number | 8484-1800129 |
| Law Office Assigned | L30 |
| Employee Name | MACIOL, GENE V J |
Timeline
| 2018-01-08 | Application Filed |
| 2018-11-30 | Location: PUBLICATION AND ISSUE SECTION |
| 2019-01-08 | Published for Opposition |
| 2019-01-08 | Status: Live/Pending |
| 2019-01-08 | Transaction Date |
Trademark Applicants & Owners
| Owner: |  Guardian Analytics, Inc. |
| Address | Suite 200 2465 Latham Street Mountain View DE 94040 |
| Legal Entity Type | Corporation |
| Legal Entity State | DE |
Documents
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Attorney of Record
Good, Services, and Codes
| International Codes: | 36 |
| U.S. Codes: | 100,101,102 |
| International Codes: | 42 |
| U.S. Codes: | 100,101 |
| Type Code | Type |
|---|---|
| GS0421 | 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 |
Trademark Filing History
| Description | Date | Event Coding |
|---|---|---|
| NEW APPLICATION ENTERED IN TRAM | 2018-01-11 | 1 NWAP I:Incoming Correspondence |
| NEW APPLICATION OFFICE SUPPLIED DATA ENTERED IN TRAM | 2018-01-22 | 2 NWOS I:Incoming Correspondence |
| ASSIGNED TO EXAMINER | 2018-04-17 | 3 DOCK D:Assigned to Examiner |
| NON-FINAL ACTION WRITTEN | 2018-05-05 | 4 CNRT R:Renewal |
| NON-FINAL ACTION E-MAILED | 2018-05-05 | 5 GNRT F:First Action |
| NOTIFICATION OF NON-FINAL ACTION E-MAILED | 2018-05-05 | 6 GNRN O:Outgoing Correspondence |
| TEAS RESPONSE TO OFFICE ACTION RECEIVED | 2018-11-05 | 7 TROA I:Incoming Correspondence |
| CORRESPONDENCE RECEIVED IN LAW OFFICE | 2018-11-05 | 8 CRFA I:Incoming Correspondence |
| TEAS/EMAIL CORRESPONDENCE ENTERED | 2018-11-05 | 9 TEME I:Incoming Correspondence |
| APPROVED FOR PUB - PRINCIPAL REGISTER | 2018-11-19 | 10 CNSA P: |
| NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED | 2018-12-19 | 11 NONP E:E-Mail |
| PUBLISHED FOR OPPOSITION | 2019-01-08 | 12 PUBO A:Allowance for Publication |
| OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED | 2019-01-08 | 13 NPUB E:E-Mail |
| NOA E-MAILED - SOU REQUIRED FROM APPLICANT | 2019-03-05 | 14 NOAM E:E-Mail |
| TEAS STATEMENT OF USE RECEIVED | 2019-07-09 | 15 EISU I:Incoming Correspondence |
| CASE ASSIGNED TO INTENT TO USE PARALEGAL | 2019-07-29 | 16 AITU A:Allowance for Publication |
| USE AMENDMENT FILED | 2019-07-09 | 17 IUAF S: |
| STATEMENT OF USE PROCESSING COMPLETE | 2019-07-29 | 18 SUPC I:Incoming Correspondence |
| SU - NON-FINAL ACTION - WRITTEN | 2019-08-20 | 19 CNRT W: |
| NON-FINAL ACTION E-MAILED | 2019-08-20 | 20 GNRT O:Outgoing Correspondence |
| NOTIFICATION OF NON-FINAL ACTION E-MAILED | 2019-08-20 | 21 GNRN O:Outgoing Correspondence |
| ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE | 2020-03-10 | 22 ABN2 O:Outgoing Correspondence |
| ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND | 2020-03-11 | 23 MAB2 E:E-Mail |
Similar Marks
Mark Image Registration | Serial | Company Trademark Application Date |
|---|---|
 EVIDENCE LAKE 88852360 not registered Live/Pending |
Guardian Analytics, Inc. 2020-03-30 |
 EVIDENCE LAKE 87746732 not registered Live/Pending |
Guardian Analytics, Inc. 2018-01-08 |
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