Disruptive technological solutions for handset device financing lenders
More than 10 ways to validate identities in the digital onboarding process. ID, Photo, Blacklists, Employment history, and more.
ML-based credit scoring algorithm
Advanced risk assessment through smartphones metadata that protects customers' data privacy
Fully configurable, self-service, white label, and integrated credit management digital solution to orchestrate 100% of the placement, management, and collection of any credit portfolio.
Get more resources by increasing and extending the frequency of use of your lines of credit, building loyalty from your customers and allowing them to pay for services on digital platforms.
10,000+ cash in points in Mexico to improve the payment experience of your customers.
Extended warranty and/or damage coverage insurance for financed smartphones. Don't let your client's accident become your past-due portfolio.
Blocking platform for smartphones and tablets
Automated collection, unlimited messages, and reminders of the payment obligations to customers. The solution works even if the SIM card is replaced or removed. In case of non-payment, the tech blocks the smartphone or tablet remotely, increasing the payment priority and reducing uncollectibility rates.
Equality and credolab joined forces to cater disruptive technological solutions to lenders providing handset financing solutions to unbanked and underbanked customers. By adding credolab alternative credit scoring and anti-fraud tools, Equality has put together a portfolio with 7 turnkey advanced technological solutions to create and accelerate handset financing businesses in Latin America. Together, we are disrupting the credit granting and underwriting process unlocking a series of opportunities where credit quantity and quality is maximised, and delinquency and fraud rates are kept well under control. Learn more about our benefits and details in the infographic.
This rule triggers when a device has been confirmed as fraudulent
This rule triggers when the device is on a blacklist
This rule triggers when an application originates from a location marked as risky
This rule triggers when inconsistencies are identified on a device
This rule triggers when the same device applies for multiple loans
This rule triggers when a device looks suspiciously like confirmed fraudulent devices
Crunches nearly 1 million behavioural features from opt-in metadata to generate credit scores
Uses device recognition and intelligence technology to track over 45 types of fraud and abuse