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.