Credit Risk Scores & Insights

We create and analyse data around behavioural traits associated with credit risk. ​We work with risk teams to make credit decisions fairer, more accessible, and more predictive through opt-in, first-party behavioural data, using no personal data.​

Win new customers

Our alternative data credit score can be used as a standalone score to assess ‘credit invisible’ customers with no credit history.​

Keep customers

Use as a 'rescue score' to reassess soft rejected customers, ensuring you don’t miss out on new and additional lending to creditworthy borrowers who have insufficient credit data.

Grow portfolio profitability

Alternative data scores have little correlation to traditional credit scores, so they can be used in combination to provide greater predictability to existing scores and a more profitable loan portfolio.​

The missing piece of modern lending data

People are diverse and modern lending data should consider a variety of data sources. Traditional risk scores are excluding many good borrowers. 

Our risk scores and insights can be used to assess 100% of applicants, regardless of financial background.​

Who is using modern credit risk scores

Financial Institutions

DIGITAL & MICRO LENERS

BNPL & ASSET FINANCING

MOBILE WALLET & MOBILE NETWORK OPERATORS

UTILITY PROVIDERS

Credit assessment for individuals

Harness the purchasing power of consumers by better understanding of risk.

Our risk scores and insights can be used to assess 100% of applicants, regardless of financial background. People are diverse, and credit assessment should consider a diversity of data. We look at non-traditional and non-personal behavioural data like device data and character assessments.

OUR RISK SCORES ACHIEVE A 4x Risk Split

Credit assessment for businesses

Safely manage and grow small business lending through reliable information, even in difficult environments. By leveraging data analytics and AI lenders can gain better insights and assess risks.

Character can predict small business success. For example, studies have shown that small businesses operated by someone who demonstrates high levels of ambition, are three times more likely to succeed.

Around the world many economies are moving from being dominated by industrial enterprises to include a growing portion of entrepreneurial businesses. This is particularly true in the MSME space.

Small businesses need fair access to credit. 

  • Asset financing
  • Small business lending
  • Rescue Scores

 

What types of data can be used for modern credit risk scores?

Psychometric Character Assessment

First-party data through simple yet thorough gamified assessments that are targeted to character traits which are associated with creditworthiness.​

DEVICE Data

Privacy-consented metadata from the users device (iOS or Android) that can be used to predict risk.

Want to know more?

If you have a question about the potential of alternative data, or you'd like to see our platform in action, drop us a line?