The FinBox research desk.
Ideas that move lending forward.

A Princeton Economics student reflects on her summer at FinBox, exploring how India’s lending ecosystem, infrastructure, regulation, and consumer behaviour shape fintech products—and what it takes to adapt them for new markets.

Kenya and Nigeria are approaching digitization and formalization. Sentinel AI helps lender make it scale-ready and compliant from day 1.

The three large players in SEA are moving at different pace but along the same axes. FinBox Sentinel AI is purpose built to solve for the complexity of scale as well as regulations.

The Central Bank of UAE wants decisioning to be explainable, human-in-the-loop and risk managed. We discuss how Sentinel AI by FinBox achieves all this and more.

Southeast Asia's platforms are posting fast growth and 1% defaults. India's numbers looked identical two years ago — until the loans aged. Here's the playbook India's lenders paid for, and what's worth doing now, while the numbers still look good.

Evaluating a bank statement analysis API means checking three things: parsing & categorisation accuracy, Account Aggregator integration for consented data pulls, and how cleanly cash flow outputs feed a decisioning engine. Maps providers into KYC, AA-plumbing & analytics categories.

Choosing a digital lending platform means weighing three approaches: established LOS vendors, modular API-first platforms, or in-house builds. Evaluate on workflow configurability, integration depth, decisioning flexibility, RBI compliance for LSP, data security and total cost of ownership.

Choosing a business rules engine for lending means weighing three things: how much policy control risk teams get without engineering dependency, how defensible that decisioning is for auditors, and how natively it plugs into India-specific data rails like bureau, AA and GST.

A digital lending tech stack needs four layers: data aggregation, credit decisioning, loan origination, and risk/collections monitoring, all traceable under RBI's framework. Compares build versus buy versus modular infrastructure, and sets out questions to ask vendors before committing.

AA data analysis lets lenders convert consented bank statements and financial data into underwriting signals beyond bureau scores. Splits into AA-analytics specialists focused on parsing & full-stack infrastructure providers like FinBox embedding AA data with decisioning, origination, collections.

ndian NBFCs shortlist credit decisioning platforms across three buckets: pure Business Rules Engines, India-first lending stack players, and unified operating systems combining BRE, ML orchestration and explainability. Details a five-point RFP test covering rule authoring and time-to-decision.