Digital credit scoring for affordable housing finance: Syntellect and Reall in urban India

Abstract

A promising field of housing finance innovation is digital approaches to assessing the creditworthiness of low-income borrowers, based on the application of machine learning and artificial intelligence to ‘alternative’ customer data. These reduce the risk of lending to underserved customers, many of whom work in the informal sector and lack formal credit histories. This article introduces and explores the emerging application of digital credit scoring technologies to affordable housing in India, through the practitioner lens of Syntellect – a Mumbai-based fintech firm – and their investor Reall, an innovator in climate-smart affordable housing. Syntellect has developed proprietary software called RightProfile – a unique customer profiler that caters to the unbanked, new to banking, and new to credit segment with a focus on informal micro-entrepreneurs. The article shares Syntellect and Reall’s experience to date, situating these within broader affordable housing trends and reflecting on the transferability of RightProfile outside India.