Financial crimes are on the rise due to the increase in the volume of financial transactions as financial companies adopt technologies such as fintech and blockchain. Currently, money laundering poses a serious threat to the financial services sector. To prevent money laundering, illegal money laundering can be detected and prevented to identify suspicious transactions and irregular transaction networks. Artificial Intelligence(AI) can detect suspicious transactions and build fraud and money laundering models efficiently, as well as improve employee and business productivity.
Data | Data type | Content | Use mode |
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Input data | CSV | Customer data (personal information, fund transaction history, transaction volume, credit information, etc.) | API |
Output data | CSV | Predicting Suspicious Transactions | API |
Payment | Subscription method |
Attached file upon application |
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Prepaid charge |
Online |
Customer data required for model creation |
Application procedure |
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