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Uni Cards to deploy Scienaptic AI-powered credit decisioning platform

By Leandra Monteiro

January 04, 2022

  • Credit Decisioning Platform
  • Credit Management
  • Credit Score
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Scienaptic AI, Uni CardsScienaptic AI, a global AI-powered credit decision platform provider, announced the deployment of its technology for Uni Cards. This implementation will enable it to expand credit access in India by providing instant decisions to applicants and an efficient process that redefines the way credit is consumed in India.

Uni Cards is bringing innovative and differentiated credit products for various customer segments, keeping their rich experience at the fulcrum. Through Scienaptic’s AI-powered credit decisioning platform, Uni Cards can process traditional and alternate data streams of customers and provide instant decisioning. Scienaptic’s platform provides flexible configurations to handle diverse and changing decisioning flow requirements as it’s business scales up and offers a multitude of test-and-learn simulation options to run rapid experiments. This will allow Uni to launch and adapt products faster, catering to the changing needs of new customer segments.

Nitin Gupta, Founder and CEO of Uni Cards commented, “India has 130 million ‘credit active’ users and only 38 million of these have a credit card today, signaling a severely underpenetrated credit industry in the country. We see a huge whitespace for innovation and an opportunity to design credit products for a varied set of customers. Our Pay-later card, Pay 1/3rd, has one of the lowest NPAs in the industry. We are delighted to have a partner like Scienaptic as we expand further and make access to credit democratic.”

“We are excited to help Uni Cards offer a refined application process to their users,” said Pankaj Kulshreshtha, CEO of Scienaptic. “It aligns with our mission of credit expansion, and we are proud to support them from day one. Our credit decisioning platform allows Uni Cards to experiment, test-and-learn faster, and over time, build the best decisioning strategies for their customer segments, balancing growth and profitability.”

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