We are the 1st RegTech of Colombia launched in October 2018

SUITE OF FRAUD RISK MANAGEMENT SOLUTIONS FOR MONEY LAUNDERING AND
FINANCING OF TERRORISM (ML/FT)

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AMLRISK

It is a powerful search engine in restrictive lists which helps in the monitoring of people, becoming an optimal solution for the prevention of Money Laundering and Financing of Terrorism (ML/FT)

SAR360

It is a parametrizable tool that allows the administration and management of the associated risks according to the processes of each company.

– Adaptable from any device
– Access through the web in SaaS mode

MONITOR FMS

It controls through business rules, client profile and Machine Learning the transactions from different means of payment; such as credit and debit cards, checks and savings books, ATM, IVR and Internet transactions, which according to their data have a high level of risk and are potentially fraudulent.

 

COMPLIANCE MS

System to administer, control and manage transactions related to Money Laundering and Financing of Terrorism, like techniques such as Machine Learning; allowing segmentation of clients according to risk factors.

XEGMENTO 

It is a web application that allows the rapid segmentation of the clients’ data by using a sophisticated algorithm based on Machine Learning (ML). XEGMENTO only requires a file in CSV format containing the information you want to analyze.

AMLPLAY

A training tool, from a mobile device or a PC that allows the correct (ML/FT) risk management in a virtual banking office environment by: Analyzing, Monitoring, and Controlling carefully any suspicious transaction. But be careful! The road to success will not be so easy, so get ready for the challenge.

SPADA

It performs a real-time analysis from different sources of its/your information systems by using Graph Theory, Machine Learning, Cognitive Technology from IBM Watson, to detect anomalies in operations or business transactions.

ID_MOBILE

The prevention of identity fraud and the collection of complete and valid data is fundamental for many businesses, especially when identification is made remotely.