Millions of Datasets
Very High Predictability
with the power of deep learning
Artificial Intelligence engines
that leverage real-time cash-flow data, identify risky borrowers, and improve collection efficiency by 50%
Machine Learning models
trained on billions of data points to generate highly precise credit assessment
that automate decision making, predict and prevent delinquencies, and reduce drop-offs by up to 60% on a portfolio
Big Data capabilities
that evolve at scale for each contextual use-case and deliver insights that come from deep learning and 16 million new-to-credit (NTC) personas
We liberate it from human-error.
to experience the
Alternate Data Underwriting
that assesses a variety of financial transactions to generate a FinBox Inclusion Score (built on 5000+ parameters trained on largest New-To-Credit customer base in India)
Higher approvals rates
specifically for 2X more borrowers in digital lending, and 1.5X more borrowers than traditional lending - while maintaining the same portfolio quality
Clean, high-yield portfolios
thanks to precise lending and an API that lowers delinquency by more than 30%
FinBox’s proven artificial intelligence and machine learning-powered underwriting capability enables us to extend credit even to MSMEs with thin-to-no credit history. We are launching multiple new-age credit products for the retailer and MSME space through the FinBox Embedded Finance Platform.
Chief Risk Officer,
FinBox's credit risk model and its full suite of underwriting technology enables us to serve a much wider customer base, which would be difficult to lend to otherwise.
Chief Data Officer,