scalable and sustainable in detecting new and diversified fraud patterns in real-time.

One of the major credit card companies in Korea is now applying AIZEN’s deep learning model in detecting retail payment frauds. Our deep learning model can process 15,000 transaction data per minute and response within 200ms per transaction.

With ABACUS, you can develop and monitor multiple fraud detection models in parallel, for domestic, overseas and e-FDS, etc. You can also dynamically detect emerging fraud trends via real-time model retraining and performance monitoring.

The same framework can be applied in e-wallets and insurance, etc. Reach out to us for more information on how ABACUS works.