Entity
  • Sygno | Know good, catch bad

    Created in 2018


  • Up & running (A)
    Existing signals show a regular activity
  • Social networks

    56 854
  • Activities

  • Technologies

  • Entity types

  • Location

    Leusderend 14, 3832 RC Leusden, Netherlands

    Leusden

    Netherlands

  • Employees

    Scale: 11-50

    Estimated: 15

  • Engaged corporates

    3
    0 0
  • Added in Motherbase

    5 years, 1 month ago
Description
  • Value proposition

    Know Good, Catch Bad I Automated model generation based on good behavior

    At Sygno we approach financial crime from a clear-cut premise. Criminals keep changing the game, but most of your customers are not criminals. By modeling the good behavior of your customers, we make transaction monitoring more effective at a lower cost. Our automated machine learning technology generates monitoring models for Anti-Money Laundering and fraud, supporting financial institutions to drastically reduce the number of false positives and increase detection of fraudulent, unusual and suspicious transactions. Undiscovered patterns now become visible.

    Based on your own data and regulatory requirements, the models generated by Sygno can be deployed in the transaction monitoring system of choice. By using the models generated by Sygno, you free up your analysts who can spend their time on the more meaningful investigations, your data scientists can focus on other bank-specific risks and your compliance team can explain these transparent and dynamic models to regulators.

    Interested in optimizing your current TM environment with the use of AI/Automated Machine Learning in a compliance proof way? Contact us via getintouch@sygno.com.


    Fraud management, Fraud detection & analytics, Fraud alert & case management, Big data analytics, Anomaly detection, Machine learning, Anti Money Laundering, Transaction Monitoring, and Risk & Compliance

  • Home - www.sygno.com

    Unlock efficiency for your Transaction Monitoring < Advanced Machine Learning technology for Anti-Money Laundering (AML) and Fraud models, based on your data, to enhance your TM performance /> Free up your analysts Eliminate False Positives by modeling good client behavior, allowing analysts to focus on critical cases. Cost-effective monitoring Make your Transaction Monitoring more cost-effective

  • https://www.sygno.com/
Corporate interactions
Corporate TypeTweets Articles
ING
ING
Bank, Banking
ING
Bank, Banking
Other

28 Feb 2022


Financial Times
Financial Times
Media, Newspaper Publishing
Financial Times
Media, Newspaper Publishing
Other

8 May 2019


Finextra
Finextra
Finance, Online Audio and Video Media
Finextra
Finance, Online Audio and Video Media
Other

19 Dec 2016

30 Apr 2022



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