SCORING

Automatically evaluate the creditworthiness and risk profile of your borrowers

 
 

360-degree customer view

100% digital

With direct access to account and fiscal data, we instantly verify real income, loans in progress, savings and expenses.

 

We identify red-flags such as hidden accounts or loans, unauthorized account overdrafts.

Credit scoring

Machine-learning model to predict default.

Developed in partnership with world-class researchers and trained on hundred of millions of transactions.

Gini : 73 %

Lifetime Value

Churn prediction.

 

Appetence scores by product family : funds, savings products, premium cards.​

VALUES

Operating costs

45 mn overall.

Time & resources spent in value-added activities.

Standardized I/O.

No data loading and errors.

Security

Secure-by-design. 

ISO 27 001 and PSD2 compliant aggregation.

Risk Assessment

No more documentary fraud.

Credit risk reduction.

 Financial inclusion.

Data Privacy

In line with traditional non digital conventions.

Non black-box scoring.

Customer experience

Seamless.

Less drop-out, more conversion.

Meeting customer demand for digital services.

Rapid integration

A few hours maximum.

 No need to change existing customer routes.

Free up time, get rid of risks.

 

References

 

Équipe

Jonathan Dahan

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Founder & Chief Executive Officer

Nick van Roekel

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Founder & Chief Technical Officer

Yuval Aronowitz

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Head of Data Science

Sjoerd van Bekkum

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Chief Economist

Marina Vu

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Art Director

Julien Desvergnes

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CRO Latin America

Paulo Chebat

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COO Latin America

Rafael Sasso

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PR Latin America

 

Contact us

FRANCE

BRASIL

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