Solutions
About Us
Mambu and CredoLab combine their innovative solutions to offer businesses the perfect way to go digital, fast. From Mambu’s seamless cloud platform solutions to CredoLab’s AI-based credit scoring algorithm and everything in between - we’ve got innovative banking covered.
Go to Market Faster
Go secure, compliant, cloud-native in a matter of months, not years
Faster Decision
Shorten the time-to-yes from days to less than 1 minute with creditworthiness done in real-time.
Lower Cost of Risk
Increase the accuracy of your credit decisions with AI and smartphone metadata to get higher approval rates at lower cost of risk.
Complete Data Privacy
Shorten the time-to-yes from days to less than 1 minute with creditworthiness done in real-time.
Drive Better Customer Experience
Create the ultimate customer experience by enabling increased financial literacy and access to insurance and financial services for qualified and interested users.
Flexible and Agile
Get the freedom to quickly combine and change solutions whenever you need
TransUnion's digital onboarding solution simplifies the application process for customers, reducing the need for multiple integrations and saving time and resources for IT teams. In addition to identity verification, credoSDK is integrated into TransUnion's digital onboarding solution to confirm the affordability of the applicant and avoid risky lending procedures.
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Vetting and screening applications for loans and credit cards can be a complicated, time-consuming and expensive process. In collaboration with TruValidate, a TransUnion solution, credolab provides a comprehensive anti-fraud solution that can help detect and prevent fraud during the onboarding process.
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A comprehensive database of devices and fraud evidence:
In collaboration with TruValidate, a TransUnion solution, the fraud score algorithm is powered by the biggest network of devices and fraud reports in the world, with a base of over six billion unique consumer devices.
Identification of device and account linkages:
Identify suspicious devices from genuine ones and even the hidden connections between devices and accounts.
More secure than the traditional approach:
With a device metadata-led approach, it is possible to know the devices connected to the anonymous customer ID.
Agile in response and adaptability in collaboration with TruValidate:
The powerful and flexible business rules editor enables fraud analysts to react immediately to new threats.
To learn more about how to identify, assess and mitigate fraud risks with bespoke machine learning models, check out this comprehensive guide by our Customer Success Manager here.
Evidence
This rule triggers when a device has been confirmed as fraudulent
Watch-list
This rule triggers when the device is on a blacklist
Geolocation
This rule triggers when an application originates from a location marked as risky
Anomaly
This rule triggers when inconsistencies are identified on a device
Velocity
This rule triggers when the same device applies for multiple loans
Risk-Profile
This rule triggers when a device looks suspiciously like confirmed fraudulent devices
CredoScore
Crunches nearly 1 million behavioural features from opt-in metadata to generate credit scores
Device Risk
Uses device recognition and intelligence technology to track over 45 types of fraud and abuse
Learn from a former risk officer how to develop sophisticated fraud detection models that understand a fraudulent action and its intention.
Discovering modern credit risk scoring in buy now, pay later
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How challenger banks can grow profitably
Access this ebook now to learn more about the latest thinking and research on how BNPL can thrive.
How do we fit into your business model?
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