Z47 Moments

Z47
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Zero to Infinity, by Z47, is a podcast series dedicated to the founders, startups, and all within the ecosystem through candid conversations on what we think it really takes to survive in this wild startup world. In a world where we are endlessly engulfed with information in all its forms and sizes, this is our attempt to create, curate, and bring to you the insights and reflections that we have had the luxury of having learned the hard way through all the years spent in truly understanding what it takes to build and nurture a startup from ground zero.

  1. 6d ago

    Using AI to Fix US Healthcare - From 14 Days to 5 Minutes | Ajay, Coral Health

    Ajay grew up in Bangalore chasing free pizza at hackathons, trained as a machine-learning researcher, and never planned to start a company until his brother’s accident and a nightmare healthcare experience in New York pushed him to build Coral Health. In this episode of Unstarted by Z47, Ajay sits down with Anish to break down how Coral is killing traditional RPA (robotic process automation) and cutting US healthcare wait times from 14–25 days down to under 5 minutes. We go deep on workflow automation vs. “thin AI wrappers,” why the fax machine still runs American healthcare in 2026, how to tell real customer feedback from polite feedback (The Mom Test), pricing on value (the 10x rule), closing your first customer on the way to the airport, and the co-founder he recruited 5 minutes before a VC meeting. If you’re a technologist wondering how to turn deep expertise into a real business, this one’s for you. 🎧 Unstarted is the podcast for founders, by founders - from Z47, India’s oldest venture capital firm. 00:00  kill RPA, care in under 5 minutes01:00   San Francisco & meet Ajay of Coral Health01:45  What Coral Health does: two missions03:00  Born in California, raised in Bangalore04:30  Free pizza at hackathons: the love for tech08:00  The brother's accident & stages of grief10:00  Falling in love with the RPA problem by accident13:00  The friend's gallbladder & the broken patient journey16:00  Stress-testing the idea like a scientist18:30  $5–7 to maintain every $1 of RPA24:00  Closing the first customer on the way to the airport26:00  The Mom Test: real feedback vs. polite feedback31:30  Why healthcare still runs on fax machines in 202635:00  Why OCR fails: 55% accuracy on 720-page faxes42:00  Why this is deep workflow automation, not a thin wrapper44:00  Co-founders: the Aniket story (recruited in 5 minutes)51:00  Advice to the unstarted: find a problem, solve it, have fun

    Using AI to Fix US Healthcare - From 14 Days to 5 Minutes | Ajay, Coral Health

  2. Oct 20

    Ineligible Why 800 people a day ask to meet an AI receptionist, Sarah | Confido Health

    Chetan Reddy, founder of Confido, joins the Intelligent Indians podcast to explain how AI is leapfrogging one of the least digitized industries on earth: US healthcare an industry where, as he puts it, the system of record is still sticky notes. Confido builds AI teammates agents with names like Sarah and Ryan  that run the front office of specialty medical practices: answering phones, handling insurance, booking patients, chasing referrals and payments.  The result is striking. Around 800 to 900 patients a day ask to meet or speak to Sarah, not realizing she's AI. Fewer than 2% of callers now choose to speak to a human up from a 65% AI-completion rate when they started to 98% today. In this conversation Chetan and the Z47 team go deep on why healthcare resisted tech for so long, why "digitizing the work" has to come before any AI ROI, how Confido built and humanized its agents with 2,000+ empathy parameters and constant patient feedback, how their on-site deployed engineers (FDEs) and the "Care OS" platform make each deployment faster than the last, the India (Bangalore) team that powers 24/7 patient coverage, the open-source vs frontier-model strategy, and the bigger vision: becoming the operating standard for US specialty care. Intelligent Indians is brought to you by Z47. What you'll learn: 1. Why "digitize the work" must come before any AI ROI in a legacy industry2. How to humanize AI agents so customers prefer them to humans3. Why fewer than 2% of patients now choose a human over the AI4. How on-site deployed engineers + a platform make each deployment compound5. Why an AI-native company can beat foundation-model giants on last-mile ROI6. Open-source vs frontier models: a practical framework for vertical AI Chapters 00:00 Intro -  how US healthcare runs on 1990s software (and sticky notes)01:30 Why AI can leapfrog the digitization friction04:00 "Can I meet Sarah?" - 800 patients a day asking for an AI06:00 Humanizing agents: task completion, 2,500 empathy parameters, patient feedback09:30 Why less than 2% of patients choose a human11:00 Can't a foundation model just do this? Why digitizing the work is the moat14:00 What "digitize the work" actually means — the 25-insurance-contracts example16:30 Landing deployed engineers inside a care org without conflict18:30 The outcomes: 2–3x more patient encounters, 20–30% cost savings20:00 Building Care OS — a platform whose customer is the FDE23:00 How deployments compound: 6–9 months down to 3–625:00 Is the market as competitive as it looks?29:00 The Bangalore team and 24/7 patient coverage33:00 The bigger vision: becoming the operating standard for US healthcare

    Ineligible Why 800 people a day ask to meet an AI receptionist, Sarah | Confido Health

  3. Oct 15

    10 minute food delivery was impossible, until Swish came | Aniket Shah | Unstarted

    Aniket Shah quit his job with no startup idea, gave himself 18 months, and ended up building Swish one of India’s fastest-growing 10-minute food delivery companies, now serving 1 million lifetime users with 220+ freshly made items. In this episode of Unstarted by Z47, Aniket sits down with Anish to unpack the journey from Ahmedabad to IIT Kharagpur, early stints at Citibank, Jupiter, Pillow Fund (crypto) and Meesho, and the 4 PM hungry-in-a-café moment that sparked Swish.  We go deep on product-market fit, why Pillow Fund shut down despite 1M+ users, choosing co-founders, the “digital-first QSR” thesis, kitchen automation, and why the best product not the first mover wins in food. Whether you’re a founder, operator, or just someone who orders a samosa at midnight, this one’s for you. 🎧 Unstarted is the podcast for founders, by founders, ⏱️ Chapters below 👇 00:00  The thesis: why 10-minute food should exist01:15 Crypto to samosas, meet Aniket Shah02:30  Ahmedabad childhood & unusual parenting04:00  Memory talent: reverse alphabet, cricket stats, WWE cards06:15  IIT Kharagpur & the entrepreneurial pull07:45  Citibank internship & turning down the offer09:30  Joining Jupiter: UPI product from day one11:30  Pillow Fund: the crypto 18% interest bet13:45  Why Pillow shut down — user love & product-market fit17:00  How to know if you have PMF18:30  A brief stint at Meesho19:30  Do you need a co-founder? Chemistry over physics23:00  Do you need an original idea?25:00  The 4 PM café moment that sparked Swish28:00  Owning the full supply chain & "neighborhood kitchens"30:30  The digital-first QSR thesis32:30  Kitchen automation, AI & consistency at scale36:00  Counterintuitive learnings & customer food habits39:30  Hits & misses: snacks, beverages, meals42:00  Competition: "run against yourself"44:00  Mumbai launch & why not expand to 5 cities at once46:30  Advice to the unstarted: don't wait for perfect48:30  Memory challenge & sign-off

    10 minute food delivery was impossible, until Swish came | Aniket Shah | Unstarted

  4. Oct 8

    3 failed startups, 1 IIT degree, and a broken Pulsar | OTO Capital | Sumit Chhazed

    Sumit Chhazed has started four companies. The first three didn't work. Solar heating, where he was too young to win government tenders. An edtech platform built with IIT Bombay professors that was years ahead of its market and ended in a modest acquisition. Then a two-wheeler commerce business born out of a second-hand Pulsar that broke down every third day in Bombay. The fourth is OTO Capital, a lending infrastructure platform for banks and NBFCs in two-wheeler financing. In 2024, mid-growth and mid-fundraise, the round fell through. He and his co-founders stopped taking a salary for twelve months, let people go, and rebuilt the company around profitability instead of growth. They turned down buyout offers along the way. In this episode of Unstarted, Sumit talks to Avnish Bajaj about how to tell when a business isn't working, building for yourself versus building for an investor, what changes when you switch a company from growth mode to profitability, how to communicate with a team through that shift, and separating conviction from delusion. Unstarted is a series for founders, by founders, with questions crowdsourced from the audience. Chapters 0:00 Intro: three startups that didn't work0:47 What OTO Capital actually does2:42 Why this business works now and not ten years ago4:48 Udaipur, a family of teachers, and the business keeda6:26 Selling chewing gum stickers in 6th standard7:51 Telling his parents he wouldn't take a job9:41 Startup one: solar, and poor founder-market fit12:45 Startup two: CourseWave, and being too early19:48 Q: How do you know when it's working?22:44 Q: Can you build without funding?26:17 The 2024 roadblock27:12 Choosing default alive over growth27:56 Letting people go, and how to do it right31:13 No salary for 12 months33:28 Why he turned down the buyout offers36:10 The 2001 Kolkata Test37:02 Closing: it's a Test, not a T20

    3 failed startups, 1 IIT degree, and a broken Pulsar | OTO Capital | Sumit Chhazed

  5. Oct 1

    From a Small Town in Assam to India's First AI IPO | Srikanth Velamakanni, Fractal

    Srikanth Velamakanni built an AI company before most people knew the A in AI. In 2000, long before ChatGPT, he and five co-founders started Fractal Analytics with a simple bet: that math could predict human behaviour and help companies make better decisions. The market wasn't ready. HDFC took 18 months to convince. Citibank made them prove themselves against 100 in-house PhDs. They won on accuracy, stayed profitable, and 26 years later Fractal became India's first AI company to go public. In this episode of Unstarted, Srikanth sits down with Avnish to talk about the story behind the story. Growing up middle class in a small oil town in Assam. Why he never thought he was founder material, and the Narayana Murthy lecture that changed his mind. If you are building, or still unstarted, this one is full of hard-won lessons on conviction, timing, co-founders, and staying relevant across 26 years of technological change. Chapers 0:00 Intro1:15 From a small town in Assam to Fractal2:47 Math plus human behaviour: an AI company before AI3:34 "I never thought I would be an entrepreneur"5:01 The Narayana Murthy moment5:54 Not money: building a 100 year company6:57 Conviction vs market readiness9:32 When the market is not ready (ICICI, HDFC)10:27 The Citibank bake-off against 100 PhDs12:00 Compounding your core passion15:44 The two co-founder types you actually need18:39 Finding your ICP without chasing noise19:16 26 years of AI, from regression to transformers23:08 Strategy is what you refuse to do26:24 Elected CEO, then asked to leave in 6 months28:02 Defining the company's values after crisis29:19 Raising money and investor expectations31:34 Will AI make Fractal obsolete?33:58 Why Fractal was built in Mumbai36:30 Advice: build what OpenAI cannot kill

    From a Small Town in Assam to India's First AI IPO | Srikanth Velamakanni, Fractal

  6. Sep 24

    From a village to building a profitable business in 3 months | Amit Lakhotoia | Founder, Park+

    Amit Lakhotia moved from a village in Churu, Rajasthan to Delhi at 10, speaking Marwari and barely any Hindi. Twenty people shared three rooms. His father couldn't afford the school fees, so he made a bet with the principal: if his son didn't come first within a year, throw him out. That year Amit scored 19 out of 20 in Maths and Hindi, and 1 out of 20 in English. His tuition was waived from class four through twelve. He went on to NSIT and IIM Ahmedabad, helped scale MakeMyTrip, Paytm and Tokopedia, built a taxi business that was four times Ola's size before shutting it down, and then founded Park+ — which raised its first cheque two months before COVID shut down every mall and office in the country. In this episode of Unstarted, Amit talks to Avnish Bajaj about when to walk away from a working business, the vitamin versus painkiller test for choosing what to build, why he picked parking as the wedge into the car ownership market, how access control emerged from the worst possible timing, and why brand and revenue aren't a trade-off if you think creatively. Unstarted is a series for founders, by founders, with questions crowdsourced from the audience. Guest: Amit Lakhotia, Founder & CEO, Park+Host: Avnish Bajaj, Founder & Managing Director, Z47 Chapters 0:00 Intro: the founder who gets away with scolding me1:14 Churu to Delhi, and 20 people in three rooms2:09 Arriving at school with no English3:04 The bet his father made with the principal5:01 How he survived that first year5:47 19 out of 20 in Maths. 1 out of 20 in English.7:21 NSIT, IIM-A, and where the confidence came from9:20 Sitting in his father's shop and deciding to drop out10:12 Turning around the IIM-A souvenir store12:15 GetMeCab: profitable in month three13:42 Why he walked away from a business 4x Ola's size14:50 Q: I want to start a business. How?17:57 Vitamins vs painkillers18:38 The two ideas he shortlisted, and why parking won21:24 Q: How do you measure progress during a pivot?21:36 Two months in, COVID arrives22:52 Turning a pandemic into the access control business24:38 The metric that mattered: client acceptance25:35 Revenue vs brand, and getting signage for free27:43 Closing: build the network, and give before you take

    From a village to building a profitable business in 3 months | Amit Lakhotoia | Founder, Park+

  7. Sep 17

    Building a ₹100 Crore hair care brand in 2 years | Nikita Khanna, Moxie

    Nikita Khanna spent fifteen years straightening her hair before she realised the problem wasn't her hair. It was that nobody had built products for it. She was on partner track at McKinsey her only job ever when she started going down YouTube rabbit holes during COVID, trying to find a sustainable way to manage wavy, frizz-prone hair. She found the answers in Brazil: similar hair texture, dozens of local brands, none of it available in India. When she asked people in the industry whether it was a business, almost everyone told her the category was too small and too random. Roughly 80% of Indians have hair somewhere on the wavy-to-curly spectrum. She built Moxie anyway. In this episode of Unstarted, Nikita talks to Avnish Bajaj about validating an idea before you quit your job, the ABC framework she now uses to evaluate any new category, why she never thought she was cut out to be a founder, learning to delegate and build an org for the first time, running a company with her husband as co-founder, and what it actually takes to build a brand in a market where launching a product has never been easier. Unstarted is a series for founders, by founders, with questions crowdsourced from the audience. Chapters  0:00 Intro: the company we should have invested in00:00 Growing up in Delhi, watching her father build a business00:00 DU, XLRI, and landing at McKinsey00:00 Straightening her hair since 13, and deciding to stop00:00 Finding the answer in Brazil00:00 "Am I even cut out to be a founder?"00:00 Q: How do I validate an idea before I quit?00:00 The ABC framework: assortment, business, consumer00:00 Everyone said the category was too small00:00 Q: How does a young founder become a CEO?00:00 Building with her husband as co-founder00:00 Why viral products aren't the goal

    Building a ₹100 Crore hair care brand in 2 years | Nikita Khanna, Moxie

  8. Sep 10

    He Saved ₹50 Lakh in College - Then Sold His Startup at 25 | Aman Goel, Grey Labs AI

    Aman Goel, founder of Greylabs.ai, joins Avnish on Unstarted for one of the most relatable founder journeys yet — a middle-class kid from Kanpur who was hustling for money from his first year of college and never stopped. Aman is refreshingly honest that his motivation was simply to make money. He earned his first ₹4,000 solving JEE papers, built a content-writing business with his now-wife and co-founder Harshita, and had saved close to ₹50 lakh before he even graduated.  He went on to build Cogno AI - an AI chatbot and voice company for banks - in 2017, before generative AI existed, bootstrapped it to a million-dollar revenue run rate, and sold it to Exotel at 25. Now with Greylabs.ai, he's building voice AI for India's banks and financial institutions.  In this episode he breaks down finding customers in an industry you have no network in, the "student not salesperson" playbook that got him into SBI and HDFC, why he and Harshita split the company cleanly into "she builds, I sell," how to part ways with a co-founder without a fight, picking a razor-sharp ICP, and why in a world of weekly AI launches trust is still the only thing that sells. Chapters 00:00 Intro — a genuinely relatable founder story01:00 Growing up middle-class in Kanpur02:50 "My motivation was money" — where ambition came from04:00 The internet, Silicon Valley, and deciding not to settle in the US05:50 Earning in college: ₹4,000 to ₹50 lakh before graduating08:20 How to create your own opportunity in college11:50 Starting Cogno AI — and the RED vs REL framework15:40 Building AI in 2017, before ChatGPT17:20 Getting into banks: the "student, not salesperson" playbook21:40 Negotiating with SBI as two 20-year-olds24:40 The first customer, and the referrals that followed25:30 The co-founder exit: quick decision, generous separation27:20 Harshita joins: "she builds, I sell"30:40 The exit to Exotel — doubling the ask in 10 minutes34:40 Finding the market first: why he stayed in India37:50 Founder-market fit and picking a razor-sharp ICP40:40 Can AI disrupt his AI business? Why trust wins42:50 Eating your own dog food: building internal tools on Replit44:40 AI adoption in banks — from pilots to 50 lakh calls a month46:14 The coming pricing pressure, and how service is the moat49:20 Closing advice: persistence is the one thing that can't be replicated

    He Saved ₹50 Lakh in College - Then Sold His Startup at 25 | Aman Goel, Grey Labs AI
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About

Zero to Infinity, by Z47, is a podcast series dedicated to the founders, startups, and all within the ecosystem through candid conversations on what we think it really takes to survive in this wild startup world. In a world where we are endlessly engulfed with information in all its forms and sizes, this is our attempt to create, curate, and bring to you the insights and reflections that we have had the luxury of having learned the hard way through all the years spent in truly understanding what it takes to build and nurture a startup from ground zero.

Information

  • Creator
    Z47
  • Years Active
    2018 - 2026
  • Episodes
    276
  • Rating
    Clean
  • Show Website
    Z47 Moments

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