Fintech Ki Baat

Fintech ki Baat is an attempt to extract insights about the Fintech ecosystem of India and capture those insights in a bite sized format of audio and video podcast

Fintech Ki Baat is a business podcast hosted by by Shreyas Jani, with 149 episodes on record and a Required Pod Score of 80.

by Shreyas Jani hosts Fintech Ki Baat, a business show with 149 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Fintech Ki Baat

  The Custodian Behind India's Crypto Exchanges Ft. Manhar Garegrat SVP & Country Head,Liminal Custody

  Sep 2, 202628 minS3

  When FTX collapsed in 2022, Japan's crypto investors lost nothing. Not because Japanese exchanges were smarter, but because Japan had already mandated something most countries still don't require: third-party custody, separate from the exchange itself. That structural gap is what Liminal Custody is built to close. In this Dhandhe Ki Baat segment, Manhar Garegrat explains why crypto infrastructure needs the same separation of duties traditional finance has always had, how blockchain wallets fundamentally differ from the digital wallets we're used to, and why losing a private key is nothing like forgetting a password, there's no reset button on Bitcoin. We also get into where India stands globally: why the country has embraced blockchain broadly but stayed cautious about the public, permissionless chains where most global innovation is happening, and what it will take for India's regulatory approach to converge with where the rest of the world is heading. ⏱️ Timestamps: 0:00 – Introduction: what Liminal does 1:33 – Why the industry needed more than exchanges and trading 4:26 – Segregation of duties: the thesis behind Pantheira and Liminal 5:43 – The FTX collapse, and why Japan lost nothing 6:56 – Blockchain wallets vs digital wallets: the fundamental difference 8:22 – Private keys, and why losing one is unlike losing a password 9:39 – The depository analogy: how Liminal compares to CDSL and NSDL 11:39 – Who actually uses Liminal: exchanges, stablecoin issuers, and banks 13:32 – Why custody makes insurance on digital assets feasible 13:56 – India vs global: the permissioned vs permissionless chain divide 17:28 – Where India and the rest of the world converge next 20:20 – Building the missing frameworks: industry, regulators, and associations ️ Chasing Impact covers six sectors shaping the next decade of India: Fintech, AI, Climate, Mobility, HealthTech, and Defence. Subscribe for a new episode every week. chasingimpact.in

  ListenShow Notes
• 

  Fintech Ki Baat

  From 35 to 750 Employees,Then He Walked Away to Start Over FT. Manhar Garegrat, SVP, Liminal Custody

  Aug 29, 202621 minS3

  Manhar Garegrat joined CoinDCX when it was 35 employees. He left when it had grown to 750, right as the Indian crypto market went from banned to wide open.Then he did something most people wouldn't: walked away from that kind of growth and that kind of salary to co-found Panthera, a Web3 infrastructure startup that pivoted from retail wallets to B2B just four months in, when the retail thesis didn't hold up. Eleven months later, after raising money proved harder than the enthusiasm warranted, he moved on to Liminal, where he now heads the country business.In this founder story, Manhar takes us through his path from digital marketing and mobile app growth into crypto, what 14 months of back-and-forth with Singapore's Monetary Authority actually taught him about regulation, why conviction sometimes has to override the numbers, and his honest take on why entrepreneurship isn't something you fully walk away from once you've done it. ⏱️ Timestamps: 0:00 – Introduction 1:43 – From Final Cut Pro to fintech to crypto: how the career actually happened 3:34 – Joining the VDA space in 2019, and learning from the OGs of 2012- 134:33 – Building Panthera's foundation at CoinDCX 5:35 – Scaling from 35 to 750 employees after the RBI ban was quashed 6:34 – 14 months with Singapore's Monetary Authority: what regulators actually want 9:16 – Starting Pantheira: the bet on Web3 infrastructure 9:54 – The retail wallet pivot: what Instagram and Meta's crypto ambitions taught him 12:38 – Taking the leap: letting go of a CoinDCX salary 13:04 – Why raising funds was harder than expected 16:16 – Life after Panthera: joining Liminal 17:30 – Three don'ts for aspiring entrepreneurs ️ Chasing Impact covers six sectors shaping the next decade of India: Fintech, AI, Climate, Mobility, HealthTech, and Defence. Subscribe for a new episode every week.

  ListenShow Notes
• 

  Fintech Ki Baat

  Inside India's Trillion Dollar Collections Problem | Ananth Shroff, Founder & CEO, DPDzero

  Aug 20, 202637 minS3

  India has disbursed a trillion dollars in retail credit. Some of it doesn't come back on time. And the system built to collect it runs on thousands of agencies, two lakh-plus agents, and, far too often, abuse.Ananth Shroff walked into a collections agency early in his research and heard it firsthand: agents hurling abuse at borrowers who simply hadn't paid on time. That moment shaped what DPDzero became, a full-stack AI-powered collections platform built to deliver the same efficiency banks get from agencies, minus the compliance risk and the harassment. In this Dhandhe Ki Baat segment, Ananth breaks down exactly how the system works: how DPDzero profiles borrowers using 60 to 70 data points, why their AI agent now handles what used to take one human per 100 borrowers (now one per 300), how personas like "circumstantial defaulters" and "escapist defaulters" get treated differently, and why he believes brand reputation, not just compliance, is what will force this industry to change. ⏱️ Timestamps: 0:00 – Introduction: what DPDzero does 1:19 – What actually happens when a borrower misses an EMI 2:48 – The scale of the problem: $1 trillion in retail credit, 2 lakh+ collection agents 4:16 – The real problems: cost, compliance, and abuse 7:38 – DPDzero's approach: a collections stack banks can integrate into 8:48 – Agency workflow vs DPDzero workflow: Excel sheets vs 70 data points 12:32 – The allocation model: deciding human vs AI treatment 13:02 – The AI collection agent: voice, WhatsApp, and beyond 14:07 – From 1 human per 100 borrowers to 1 per 30014:35 – The agent copilot: how human agents are enabled by AI 18:19 – How much can AI alone convert, and where humans take over 20:07 – Reducing bounce rates with 100% AI intervention 21:34 – Defining the ideal collection system: why they call agents "advisors" 22:53 – Borrower personas: intentional, circumstantial, and escapist defaulters 27:09 – Why brand reputation now matters more than ever in collections 29:34 – The logistics industry parallel: how collections will consolidate 33:15 – The next 5 years: staying ahead by disrupting yourself first ️ Chasing Impact covers six sectors shaping the next decade of India: Fintech, AI, Climate, Mobility, HealthTech, and Defence. Subscribe for a new episode every week. chasingimpact.in

  ListenShow Notes
• 

  Fintech Ki Baat

  Inside the Data Science Behind India's Credit Decisions Ft. Mohan Ramaswamy

  Aug 11, 202638 minS3

  India has 60 million businesses that need credit.Most credit decisions in India still rely on the same static reports and third-party bureau scores. Mohan Ramaswamy, Co-founder and CEO of Rubix Data Sciences, thinks that's the wrong model, and has spent eight years building the alternative.In this Dhandhe Ki Baat segment, he explains how Rubix pulls together GST filings, court records, import-export data, employee sentiment, and over a hundred other sources to build a live, continuously monitored risk score, one that moves the moment a business's real financial health changes, not one that goes stale the day it's issued. ⏱️ Timestamps: 0:00 – What Rubix does 1:08 – From static reports to real-time risk intelligence 3:42 – Lending: assessing businesses with thin or no credit history 10:41 – MSME lending: 120+ data sources behind one risk score 15:29 – Rubix's score vs standard bureau scores 19:35 – Insurance: trade credit and India's under-penetration problem 25:27 – Behind the scenes: what data science actually is 30:15 – Where AI fits, and where it deliberately doesn't 33:44 – What's next for Rubix ️ Chasing Impact covers six sectors shaping the next decade of India: Fintech, AI, Climate, Mobility, HealthTech, and Defense. Subscribe for a new episode every week. chasingimpact.in

  ListenShow Notes
• 

  Fintech Ki Baat

  From CXO to Founder: Building Rubix Data Sciences Ft. Mohan Ramaswamy, Co-Founder & CEO

  Jul 29, 202623 minS3

  Four senior executives at an American information company. An average of 25 to 30 years of experience each. And a problem they kept seeing go unsolved: complex, fragmented B2B data that leaders couldn't turn into decisions.So in 2018 they left their CXO roles and built Rubix Data Sciences, a technology-enabled information and analytics business that helps corporates, banks, and insurers make decisions on credit, risk, and supply chain. Their first paying customer came in month five.In this segment, Mohan Ramaswamy shares the founder story: why they left established careers, how they cracked BFSI's famously impenetrable sales process, and his advice for B2B founders trying to land their first customer. ⏱️ Timestamps: 0:00 – Introduction: what Rubix Data Sciences does 2:22 – The Rubik's Cube philosophy: from complexity to clarity, and the ARMS platform 4:44 – The founder story: why four CXOs left to start up 9:26 – Early days: building trust as a bootstrapped B2B startup selling to BFSI 13:04 – The first sale: signing two corporates in month five 16:09 – First fundraise vs first paying customer: which felt better? 18:40 – Advice for B2B founders selling into BFSI ️ Chasing Impact covers six sectors shaping the next decade of India: Fintech, AI, Climate, Mobility, HealthTech, and Defence. Subscribe for a new episode every week.

  ListenShow Notes

Recent guests on Fintech Ki Baat. Study who booked and why before you pitch.

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.