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Deep Learning based Intelligent fraud detection

Deep Learning based Intelligent fraud detection

Our team of 11 Machine Learning PhDs and payment experts spent last 3 years in designing a patented technology from the scratch.

We have collected 70 million data points from our customers over the past 5 years to build a deep learning solutions which recognizes the patterns in fraudulent transactions. The result is an advanced Artificial Intelligence technology which can not only eliminate refunds, chargebacks or payment fraud but also maximize revenues in real time.

We have been operational across the EU since 2015 and are currently responsible for saving over Billions Dollars in transaction volumes.

Some interesting facts of our growth:
- Over 70 million data points.
- More than $25 Millions in saved transaction volume every month.
- 300,000 payment transactions analyzed every single day.
- 100 GB of new data added every month.

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Joel Sng

Avatar for Joel Sng
Founder @KapeIQ @Prelo, Advisor @TryShifu • Worked at @Goldman Sachs, @Barclays Capital • Studied at @National University of Singapore
Total raised


Funded over

2 rounds

Latest round

Aug 2017