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What is Tookitaki?

Tookitaki's Anti-Money-Laundering Solutions enhance your Compliance Lens by significantly minimizing false positives, achieving at least a 50% reduction in transaction monitoring programs and over 60% in screening programs. Additionally, it improves risk management by boosting the identification of genuine suspicious cases (SAR/STR) by 5%. Alerts are efficiently prioritized, allowing for quicker responses. With ongoing automatic learning, the system maintains high detection rates even amid increasing data volumes and evolving regulations. The complex machine learning models are presented clearly for user comprehension. Furthermore, the integration process with current and prospective up/downstream systems within the financial institution is streamlined through pre-built connectors. Our Transaction Monitoring feature includes secondary scoring, employing a proprietary semi-supervised approach that leverages multi-dimensional unsupervised methods, network analysis, and supervised learning techniques to enhance the overall effectiveness of the monitoring process. This comprehensive methodology ensures that compliance teams can effectively tackle the challenges posed by sophisticated financial crimes.

What is SAS Financial Crimes Analytics?

SAS Financial Crimes Analytics serves as a cloud-driven platform aimed at bolstering Anti-Money Laundering (AML) efforts by utilizing artificial intelligence and machine learning to streamline compliance operations. This groundbreaking solution enables financial organizations to more efficiently detect and prevent financial crimes while reducing the occurrence of false positives, automating investigations, and improving overall detection efficacy. Users benefit from features that facilitate data exploration and visualization, allowing for easy importing, transforming, and integrating of data through a user-friendly drag-and-drop interface. Moreover, it accelerates the deployment of analytical models via automated processes, making it suitable for both batch processing and real-time applications. The system integrates effortlessly with existing transaction monitoring frameworks, eliminating the need for major revisions to current AML systems. In addition, it harnesses sophisticated analytical tools, including network and text analytics, to deliver a thorough understanding of risk factors, enabling institutions to stay responsive to the changing dynamics of financial crime threats. This comprehensive strategy not only enhances compliance measures but also fortifies the institution’s overarching risk management framework, ensuring better protection against emerging risks. Ultimately, SAS Financial Crimes Analytics represents a pivotal advancement in the fight against financial crime, equipping institutions with the necessary tools to navigate an increasingly complex environment.

Media

Media

Integrations Supported

Integrations Supported

SAS Anti-Money Laundering

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tookitaki

Date Founded

2014

Company Location

Singapore

Company Website

www.tookitaki.com

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/financial-crimes-analytics.html

Categories and Features

AML

Not specified

RegTech

Not specified

Categories and Features

AML

Not specified

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