EVIDENCE LAKE

Serial Number 87746732
602

Registration Progress

Application Filed
Jan 8, 2018
Under Examination
Mar 5, 2019
Approved for Publication
Jan 8, 2019
Published for Opposition
Jan 8, 2019
Registered

Basic Information

Serial Number
87746732
Filing Date
January 8, 2018
Published for Opposition
January 8, 2019
Abandonment Date
February 21, 2020
Drawing Code
4000

Status Summary

Current Status
Inactive
Status Code
602
Status Date
Mar 10, 2020
Classes
036 042

Rights Holder

Guardian Analytics, Inc.

03
Address
Suite 200
2465 Latham Street
Mountain View, CA 94040

Ownership History

Guardian Analytics, Inc.

Original Applicant
03
Mountain View, CA

Guardian Analytics, Inc.

Owner at Publication
03
Mountain View, CA

Legal Representation

Attorney
Kirk M. Miles, Registration No. 37,891
USPTO Deadlines
Next Renewal Deadline
Non-Final Action E-Mailed
Due: November 20, 2019 (2056 days overdue)
Extension available until: February 20, 2020
Additional renewal deadlines exist. Contact your attorney for complete deadline information.

Application History

23 events
Date Code Type Description
Mar 11, 2020 MAB2 E ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND
Mar 10, 2020 ABN2 O ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE
Aug 20, 2019 CNRT W SU - NON-FINAL ACTION - WRITTEN
Aug 20, 2019 GNRT O NON-FINAL ACTION E-MAILED
Aug 20, 2019 GNRN O NOTIFICATION OF NON-FINAL ACTION E-MAILED
Jul 29, 2019 AITU A CASE ASSIGNED TO INTENT TO USE PARALEGAL
Jul 29, 2019 SUPC I STATEMENT OF USE PROCESSING COMPLETE
Jul 9, 2019 EISU I TEAS STATEMENT OF USE RECEIVED
Jul 9, 2019 IUAF S USE AMENDMENT FILED
Mar 5, 2019 NOAM E NOA E-MAILED - SOU REQUIRED FROM APPLICANT
Jan 8, 2019 PUBO A PUBLISHED FOR OPPOSITION
Jan 8, 2019 NPUB E OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
Dec 19, 2018 NONP E NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
Nov 19, 2018 CNSA P APPROVED FOR PUB - PRINCIPAL REGISTER
Nov 5, 2018 TROA I TEAS RESPONSE TO OFFICE ACTION RECEIVED
Nov 5, 2018 CRFA I CORRESPONDENCE RECEIVED IN LAW OFFICE
Nov 5, 2018 TEME I TEAS/EMAIL CORRESPONDENCE ENTERED
May 5, 2018 CNRT R NON-FINAL ACTION WRITTEN
May 5, 2018 GNRT F NON-FINAL ACTION E-MAILED
May 5, 2018 GNRN O NOTIFICATION OF NON-FINAL ACTION E-MAILED
Apr 17, 2018 DOCK D ASSIGNED TO EXAMINER
Jan 22, 2018 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Jan 11, 2018 NWAP I NEW APPLICATION ENTERED

Detailed Classifications

Class 036
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
First Use Anywhere: Feb 21, 2018
First Use in Commerce: Feb 21, 2018
Class 042
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
First Use Anywhere: Feb 21, 2018
First Use in Commerce: Feb 21, 2018

Classification

International Classes
036 042

Disclaimers

The following terms have been disclaimed and are not claimed as part of the trademark:
General Disclaimer
"EVIDENCE"