Solution

Scoring Development

We implement high analysis accuracy of credit scoring building individual automatized scoring model based on machine learning

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100х

Speed increase in
application processing

up 3х

Business margin
increase

up to 75%

Reduction of manual
labor share

Scoring model fscorelab finds the optimal balance to solve two most common mistakes in MFI practice in your business:

1 Giving credit to bad credit
borrowers

2 Denying credits to good
borrowers

Model Features

Based on your historical data
Adapted to business model and business strategy development
Focuses on maximizing your company profits

Every project gets the algorithms to include optional information (variables) of a borrower into the model, in case they have any

Mobile operator data
Credit bureau data
Personal data
More

Guarantee

If the forecast on test data is more than 20% than the data «on the battlefield» - we will return 100% of the cost of the package solution (if the customer meets the service requirements) or 100% of the month payment in case of the incident occurrence in SaaS (service) version

Model Features

Every project gets the algorithms to include optional information (variables) of a borrower into the model, in case they have any

Application for the development of scoring model «Turnkey»