EVIDENCE LAKE

EUIPO EUIPO 2018 Trademark registered

Protect this trademark from copycats!

With our trademark monitoring alerts, you are automatically notified by email about copycats and free riders.

The Union trademark EVIDENCE LAKE was filed as Word mark on 01/08/2018 at the European Union Intellectual Property Office.
It was registered as a trademark on 05/14/2018. The current status of the mark is "Trademark registered".

Trademark Details Last update: February 9, 2024

Trademark form Word mark
File reference 017668922
Application date January 8, 2018
Publication date February 5, 2018
Entry date May 14, 2018
Expiration date January 8, 2028

Trademark owner

2465 Latham Street, Suite 200
94040 Mountain View
US

Trademark representatives

Via Sant'Orsola 4 20123 Milano IT

goods and services

36 Information, advice and consultancy relating to the monitoring of financial transactions; detecting and preventing suspicious financial behaviour and reducing monetary losses; information, advice and consultancy relating to risk management
42 Network based elastic computing providing a single source of truth; Electronic data storage and software-as-a-service for advanced risk scoring and model validation, monitoring, correlation and analytics of events; Electronic data storage and software-as-a-service for analysis of customer identity and relationships, monitoring and analysis of suspicious transactions; Electronic data storage and software-as-a-service for baselining of normal activity, detecting anomalous or suspicious activity, investigating linked relationships and activities; Electronic data storage and software-as-a-service for generating or transmitting reports or electronic filings to regulatory authorities; Software-as-a-service for enabling tuning or setting of thresholds for risk scoring machine learning (ML) models; Software-as-a-service for implementing customer segmentation to determine appropriate thresholds for risk scoring of ML models based on behaviour learned from respective customer segments; Software-as-a-service for setting of initial thresholds for risk scoring ML models; Software-as-a-service for implementing advanced machine learning algorithms to determine effective threshold values for application to a given scenario for successful detection of high risk events; Software-as-a-service for tuning of risk scoring ML thresholds prior to going live with a dry run of an alert-generation cycle in a test environment; Software-as-a-service for on-going tuning and enhancement of thresholds for risk scoring for ML models on a periodic basis to generate and investigate alerts below the risk scoring thresholds; Software-as-a-service for providing a single source of truth assessment or risk assessment for any event-of-interest including detection and scoring by advanced cloud services driven artificial intelligence, machine learning and behavioural analytics; Software-as-a-service for multi-channel payment fraud detection and risk scoring services including automated clearing house services, wire services, online services, mobile services, supplier portal fraud detection services and analytics services; Software-as-a-service for money laundering detection services, customer risk rating, transaction risk scoring, sanctions, watchlists and negative news screening; Software-as-a-service for currency transaction report filings, suspicious activity report filings, link analysis, alerts/cases management; Software-as-a-service for retaining evidence related to alerts/cases including documents, media, image files; Software-as-a-service for publish-subscribe based real-time risk scoring and anomaly assessment of subscriber registered events-of-interest; Flexible public, managed on-premise, or managed hybrid cloud services options enabling the collection, analysis, processing, preservation, and reporting of events-of-interest in the form of electronic evidence

Trademark history

Date Document number Area Entry
October 6, 2023 Change Representative, Published
September 17, 2020 Change Representative, Published

ID: 11017668922