SCAI employs loud computing, machine learning and other technologies, and model algorithms such as logistic regression, decision tree, and random forest to comprehensively process and model each dimension data, and form a series of scoring products.

Blackstone (fraud) scoring: the deep associated network anti-fraud model applying the association of massive external and internal data.

Whitestone (credit) scoring: the scoring that evaluates the individual’s willingness of repayment.

Greystone (response) scoring: judges the response probability of the individuals to market

Yellowstone (general) scoring: the scoring model that comprehensive evaluates customer risks

Redstone (collection) scoring: the scoring model that judges the difficulties of the collection of the overdue customers.