Predictive Fraud Management Solution Introduced By Datacultr

Datacultr's new platform will allow financial institutions to significantly reduce their risk and cost of collections on ‘New to Credit’ customers in the emerging world. With the help of Machine Learning, the platform can identify potential frauds by building models around Usage, Behavioural & geospatial patterns and take immediate action.

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Datacultr (a PaaS for consumer lending companies) aims at helping reduce the risk of fraud in consumer lending through its Predictive Fraud Management solution. It is a first-of-its-kind platform that will allow financial institutions to significantly reduce their risk and cost of collections on ‘New to Credit’ customers in the emerging world. With the help of Machine Learning, the platform can identify potential frauds by building models around Usage, Behavioural & geospatial patterns and take immediate action.

Datacultr has turned a Smartphone into a tool for financial inclusion by effectively making it into a virtual collateral. With the proprietary technology provided by Datacultr, consumer lending companies can set up triggers that can alert them against potential frauds and asset re-sale. It shall help in making the collection process seamless by monitoring such triggers on the android device.

This solution uses data to create actionable insights before potential fraud. The Platform empowers the lenders to remotely manage Smartphone given out on Loan, by setting up a unique device experience module on the Smartphone, using behaviour driven templates that help them to uniquely maintain the entire life-cycle of the borrower throughout the tenure of the loan.

 Commenting on the same, Sujoy Ghosh, CTO & Co-founder, Datacultr, said, “Our predictive Fraud Management solution & the existing device management levers will broaden the horizon for consumer lending companies and hence, strengthen the process of underwriting such loans to ‘New to Credit customers. We want to create a secure ecosystem for lending institutions so that they can provide loans to the next billion underserved users.”

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