Solutions
About Us
MO Technologies forges a strategic alliance with credolab, providing lenders with a comprehensive solution that empowers them to seamlessly create, launch, and manage a diverse range of credit products (such as BNPL, MCA, Credit Card Programs, Instalment Loans, and more) across the entire credit life-cycle.
Our partnership offers an agile, flexible, customised, and cost-effective solution to both traditional and emerging lenders. By combining MO’s modular Loan Management System with credolab’s alternative credit scoring algorithm, we have a turnkey solution to target inclusive digital credit use cases.
Build the credit product you imagine
Create tailor-made offer configurations with more than 1000 configurable combination parameters supporting multiple use cases (Revolving credit, Instalment loans, BNPL, MCA, among others)
A lending platform built to scale
Manage and expand to multiple credit products and seamlessly integrate to third parties relying on a compliant infrastructure (ISO 27001)
Agile deployment in weeks not months
Integrate with our REST API with full support all along the way, for a quick time-to-market, plus ongoing deployment as our product evolves
Onboarding
Origination
Servicing
Collection
COVER THE E2E CREDIT LIFE-CYCLE
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
Challenge accepted:
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?
Arrange a meeting with us to discuss