AI-powered Credit Decisioning Engine
Business Rule Engine (BRE) for new customer underwriting, pre-approvals, cross-sell, and Early Warning Signals (EWS)
Trusted by 145 lenders across 7 countries
NBFC
Decision Engine for instant underwriting, higher approvals and lower defaults
AI in action
Scienaptic AI Bridges Credit Gap Through Its Credit Decisioning Platform
The Scienaptic platform is used by lenders with assets exceeding $100 billion, enabling them to process over $22 billion in credit decisions, benefitting over 2 million credit union members and millions of borrowers across sectors like banks, auto, and online lenders. This credit decisioning platform will help DMI, a technology-first and innovative digital finance company, to expand its reach to underserved customers, increase credit availability, and expand its customer base.
Don’t take our word for it.
Discover how Manish Jaiswal, MD and CEO at Grihum Housing Finance Ltd, is harnessing AI powered credit rule engine to optimize lending strategies, increase approval rates, and enhance customer experience.
Case Study
Enabling Affordable Home financing with Intelligent Credit Decisioning BRE
Being in the affordable housing segment, the client had a customer base that is economically mid-to bottom of the pyramid and has very little standard documentation which could be used to make credit decisions. 40% of their customer base were either unserved or underserved, having a thin or no bureau footprint.
Fintech
BRE with alternate data and instant lender recommendation
AI in action
Modern age cards through modern age AI: Uni Cards to deploy Scienaptic’s AI-powered credit decisioning platform
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 Uni Cards’ 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.
Don’t take our word for it.
Discover how Nitin Gupta, the Founder and CEO at Uni Cards, is harnessing AI powered credit rule engine to optimize lending strategies, increase approval rates, and enhance customer experience.
Case Study
Launching a new credit product for a leading new-age NBFC Fintech
The client is a new-age fintech company that aims to bring a range of differentiated credit products to Indian consumers. Their first credit product was a new-age credit card that makes it easier for underserved consumers to manage repayments. It is currently present in 81 cities across India, including Delhi, Mumbai, Hyderabad, Bengaluru, Pune, Chennai, Kolkata, Ahmedabad, Lucknow, and Jaipur.
MFI
Automate MFI underwriting and get higher wallet share with cross-sell
AI in action
Credit Access Grameen Ltd. Chooses Scienaptic's AI-Powered Credit Decisioning Engine to Strengthen Loan Underwriting
Leading global AI-powered credit decisioning platform provider Scienaptic AI announced today that the largest microfinance institution (MFI) in India, CreditAccess Grameen Limited (CA Grameen) has chosen to implement its platform to underwrite loan applications.
Don’t take our word for it.
Discover how Firoz Anam, the Chief Risk Officer at Credit Access Grameen, is harnessing the power of Artificial Intelligence to revolutionize lending practices, increase approval rates, and enhance customer experience.
Case Study
Transforming Loan Underwriting Automation for a Leading MFI NBFC
A top microfinance institution (MFI) non-banking financial company (NBFC) faced the challenge of processing 2 million credit applications per month. To manage this high volume and provide a very fast turnaround time (TAT) to customers, they needed a scalable system with specific capabilities.
Headquarter
Scienaptic AI
50 West 47th Street, Ste. 1614, New York, NY, 10036
Ph: +1 212 244 4030
Branch offices
Florida, Texas and Maryland