SYGNO
Fighting financial crime isnโt fair. Both your hands are tied. Criminals keep changing the game, while you have to play by the rules. Lots of rules. Meanwhile your business keeps accelerating. To keep up and comply at the same time means adding layer upon layer of complexity. Leading to higher costs and ever more cumbersome processes, burdening your clients. Clearly, this way of thinking isnโt working, so shouldnโt we rethink the problem? Hereโs what we think. Financial criminals are ... always looking for loopholes to stay ahead of being detected. Normal people arenโt. So why base your approach on exceptions and not on the rule? When you focus on regular customer behavior, the anomalies clearly stick out. This may sound simple. It is also very effective. You drastically reduce false positives and increase true positives as previously undetected patterns now become visible. So you can identify the right cases faster, at lower cost. This is how it works. Our automated machine learning technology generates detection models. Based on your own raw data and regulatory requirements. It deploys these models in your transaction monitoring system of choice. Because the value isnโt in the system, itโs in the detection models running on it. They enhance the monitoring system to better identify known and yet unknown financial crime. This makes everyoneโs lives so much easier. Your case analysts can now spend their time on meaningful investigations. Your data scientists can get rid of their backlog and focus on other, more bank-specific risks. Your compliance team can explain these transparent models to regulators. Think white box, not black box. At Sygno we approach financial crime from a clear-cut premise: most of your customers are not criminals. By looking at it this way, we make transaction monitoring more manageable and effective. So you can catch crooks, comply and be in full control. Why lose any more sleep over it? Sygno Know good, catch bad
SYGNO
Social Links:
Industry:
Artificial Intelligence Compliance Financial Services FinTech Fraud Detection Machine Learning Payments Security Software
Founded:
2018-01-01
Address:
Leusden, Utrecht, The Netherlands
Country:
The Netherlands
Website Url:
http://www.sygno.com
Total Employee:
11+
Status:
Active
Contact:
+31 (0) 33 711 3979
Email Addresses:
[email protected]
Total Funding:
0
Technology used in webpage:
SPF LetsEncrypt Microsoft Exchange Online Amazon Office 365 Mail CloudFront Amazon S3 Facebook Domain Insights Vimeo Amazon Ireland Region
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Investors List
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Official Site Inspections
http://www.sygno.com Semrush global rank: 6.05 M Semrush visits lastest month: 1.35 K
- Host name: mail.frauddynamics.com
- IP address: 93.158.211.112
- Location: Netherlands
- Latitude: 52.3824
- Longitude: 4.8995
- Timezone: Europe/Amsterdam