Six months before India's first real credit cycle hit, one MSME digital lending founder quietly stopped approving 30% of his eligible borrowers. The full story of how Alok Mittal of Indifi Technologies read a signal that his entire industry missed, in conversation with host Akshay Datt.  

A former venture capitalist who walked away from Canaan Partners to build the unglamorous business of lending to small Indian shops, Alok Mittal has spent a decade proving that 85% of India's MSMEs are not uncreditworthy, the financial system simply cannot tell them apart. Indifi Technologies, which he co-founded in 2015, has disbursed over $497 million across 55,000 businesses in 400 cities, using machine learning that ingests real-time data from partners like Swiggy, Amazon, and BharatPe.   

In this conversation, Alok explains why human underwriters cannot psychologically distinguish a 1% risk from a 5% risk, why his team cut 30% of borrowers in September 2023 while the industry kept growing, and how India's first real credit cycle in a decade is separating disciplined MSME digital lending operators from those who only got lucky during a good cycle.  

👉Why Alok Mittal cut lending to 30% of eligible borrowers in September 2023, six months before the industry recognized a full credit cycle was underway 

👉How Indifi's machine learning models discriminate between 1%, 5%, and 7% default probabilities that human bank underwriters cannot psychologically tell apart 

👉What vintage pool analysis reveals about lending businesses that standard NPA ratios systematically hide during hyper-growth phases 

👉Why Indifi's credit risk escalation during the 2024-25 cycle was 30% versus the industry's 70-80%, and the cultural choices that made the difference 

👉How API integrations with Swiggy, Amazon, and BharatPe replaced the need for physical bank branches in MSME credit underwriting 

👉Why only 15% of India's 60 million MSMEs have formal credit access today, and what alternative credit scoring will actually need to fix that  

Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshay-datt] for daily insights. 

00:00 - The Lending Business VCs Misjudge  

00:06:40 - Why NPA Metrics Always Lie 

00:12:00 - The 1% vs 5% Risk Problem 

00:25:00 - Lending to India's Forgotten 85%  

00:33:30 - Why He Left Venture Capital 

00:43:00 - The Digital Lending Wars 

00:49:55 - India's First Real Credit Cycle  

01:02:00 - Pressing the Red Button 

01:13:00 - Building a Risk Culture 

#AlokMittal #Indifi #IndifiTechnologies #FounderThesis #AkshayDatt #MSMELending #DigitalLendingIndia #IndiaFintech #NBFC #CreditCycle #IndianStartups #Fintech #SMEFinance #AlternativeCreditScoring #AIUnderwriting #IndiaCreditGap #FintechFounders #StartupIndia #EcosystemLending #LendingTech 

Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Founder Thesis

ThePodium.in

What VCs Miss When Evaluating Lending Startups: Alok Mittal

MAY 22, 202693 MIN
Founder Thesis

What VCs Miss When Evaluating Lending Startups: Alok Mittal

MAY 22, 202693 MIN

Description

Six months before India's first real credit cycle hit, one MSME digital lending founder quietly stopped approving 30% of his eligible borrowers. The full story of how Alok Mittal of Indifi Technologies read a signal that his entire industry missed, in conversation with host Akshay Datt.  A former venture capitalist who walked away from Canaan Partners to build the unglamorous business of lending to small Indian shops, Alok Mittal has spent a decade proving that 85% of India's MSMEs are not uncreditworthy, the financial system simply cannot tell them apart. Indifi Technologies, which he co-founded in 2015, has disbursed over $497 million across 55,000 businesses in 400 cities, using machine learning that ingests real-time data from partners like Swiggy, Amazon, and BharatPe.   In this conversation, Alok explains why human underwriters cannot psychologically distinguish a 1% risk from a 5% risk, why his team cut 30% of borrowers in September 2023 while the industry kept growing, and how India's first real credit cycle in a decade is separating disciplined MSME digital lending operators from those who only got lucky during a good cycle.  👉Why Alok Mittal cut lending to 30% of eligible borrowers in September 2023, six months before the industry recognized a full credit cycle was underway 👉How Indifi's machine learning models discriminate between 1%, 5%, and 7% default probabilities that human bank underwriters cannot psychologically tell apart 👉What vintage pool analysis reveals about lending businesses that standard NPA ratios systematically hide during hyper-growth phases 👉Why Indifi's credit risk escalation during the 2024-25 cycle was 30% versus the industry's 70-80%, and the cultural choices that made the difference 👉How API integrations with Swiggy, Amazon, and BharatPe replaced the need for physical bank branches in MSME credit underwriting 👉Why only 15% of India's 60 million MSMEs have formal credit access today, and what alternative credit scoring will actually need to fix that  Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshay-datt] for daily insights. 00:00 - The Lending Business VCs Misjudge  00:06:40 - Why NPA Metrics Always Lie 00:12:00 - The 1% vs 5% Risk Problem 00:25:00 - Lending to India's Forgotten 85%  00:33:30 - Why He Left Venture Capital 00:43:00 - The Digital Lending Wars 00:49:55 - India's First Real Credit Cycle  01:02:00 - Pressing the Red Button 01:13:00 - Building a Risk Culture #AlokMittal #Indifi #IndifiTechnologies #FounderThesis #AkshayDatt #MSMELending #DigitalLendingIndia #IndiaFintech #NBFC #CreditCycle #IndianStartups #Fintech #SMEFinance #AlternativeCreditScoring #AIUnderwriting #IndiaCreditGap #FintechFounders #StartupIndia #EcosystemLending #LendingTech Disclaimer: The views expressed are those of the speaker, not necessarily the channel