Send a JSON request to the API once a user executed a target behaviour.
Bundle the data into users’ profiles and model it with a joint statistical modelling strategy.
Feed the algorithm with the training data and help the model learning.
The model generates a score which evaluates the possibility of users’ fraudulent motive.
Label the user as “Fraud” or “Not Fraud”.
Use for loan application inspection and post-loan management.
Reduce the non-performing rate of loans. Prevent fake transaction.
Provide the latest model deployment and tailor-made modelling services.
Help lenders assess the borrower’s credit quickly and accurately.
It has been tailor-made for four countries, including Indonesia, the Philippines, Vietnam and India.
Start the conversation with our team. We’re always happy to help.
Uncover the essential of ADVANCE Digital Identity Verification that can help solve business problems and prevent fraud.