EVIDENCE LAKE
Dead / Abandoned — Abandoned — failure to respond (as of 10 Mar 2020)
What this means for you
This application is over — abandoned 21 Feb 2020. The name may be available, but check before relying on it — rights can also come from actual use, not only from the register.
Record
- Serial number
- 87746732
- Mark type
- Stylized text
- Filed
- 08 Jan 2018
- Published for opposition
- 08 Jan 2019
- Abandoned
- 21 Feb 2020
- Attorney of record
- Kirk M. Miles, Registration No. 37,891
Goods and services
- Class 036 — Insurance and financial 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
- Class 042 — Scientific and technological 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
Owner
- Guardian Analytics, Inc., Mountain View, CA, US
- Guardian Analytics, Inc., Mountain View, CA, US
Prosecution history
- 11 Mar 2020 — ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND
- 10 Mar 2020 — ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE
- 20 Aug 2019 — NOTIFICATION OF NON-FINAL ACTION E-MAILED
- 20 Aug 2019 — NON-FINAL ACTION E-MAILED
- 20 Aug 2019 — SU - NON-FINAL ACTION - WRITTEN
- 29 Jul 2019 — STATEMENT OF USE PROCESSING COMPLETE
- 09 Jul 2019 — USE AMENDMENT FILED
- 29 Jul 2019 — CASE ASSIGNED TO INTENT TO USE PARALEGAL
- 09 Jul 2019 — TEAS STATEMENT OF USE RECEIVED
- 05 Mar 2019 — NOA E-MAILED - SOU REQUIRED FROM APPLICANT
- 08 Jan 2019 — OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
- 08 Jan 2019 — PUBLISHED FOR OPPOSITION
- 19 Dec 2018 — NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
- 19 Nov 2018 — APPROVED FOR PUB - PRINCIPAL REGISTER
- 05 Nov 2018 — TEAS/EMAIL CORRESPONDENCE ENTERED