Z47 Moments

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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. Why VCs regret not investing in Acceldata - From IIT to Silicon Valley

    ٢٧ يناير

    Why VCs regret not investing in Acceldata - From IIT to Silicon Valley

    Enterprise AI doesn’t fail because models are weak.  It fails because data pipelines break, permissions drift, costs explode, and governance is treated like an annual checkbox instead of everyday operational discipline. In this episode of Intelligent Indians!, Vikram Vaidyanathan sits down with Rohit Choudhury, Founder & CEO of Acceldata, for a deep conversation on how enterprise data systems actually behave at scale and why AI makes every weak foundation visible. Rohit’s founder journey mirrors the last 15 years of data infrastructure: from scaling InMobi in the pre-cloud era, to the Hadoop days at Hortonworks, to pioneering data observability, and now pushing into Agentic Data Management as enterprises move from AI pilots to production. The conversation goes deep into: 1. Why AI POCs often work in one team but collapse at enterprise scale 2. The real cost of fixing data late, and why ingestion is the only place to fix it3. How AI agents change the stakes: real-time failures, hallucinations explainability and ai updates4. A practical playbook for CIOs and CDOs: SLAs, rapid experimentation, and leadership upskilling5. Why cost control is becoming existential, from reruns to cloud bills to private/hybrid AI The “India edge” in building global enterprise companies, and what DPI × AI could unlock next Watch the full episode to understand what it really takes to make AI work at enterprise scale. Chapters: 00:00 Why AI POCs Fail at Scale in Enterprises02:30 Introducing Rohit Choudhury (Acceldata Founder)05:30 Early Days at InMobi & Rewriting the Stack 3 Times08:30 First Startup Failure & Learning Customer Obsession11:30 Birth of the Data Observability Category14:30 How Enterprise Data Pipelines Really Work (1000+ Apps)18:00 Why Enterprises Need End-to-End Data Visibility21:00 COVID Story & Missed Investment Moment24:00 Why hallucinations are dangerous for enterprises27:00 Governance in AI30:00 How Banks Should Prepare for AI at Scale (4 Steps)33:30 Why Leaders Must Learn AI Themselves (Cursor Story)36:30 From Tool Sprawl to One Agentic Platform39:30 Cost Explosion: Cloud vs Private AI42:30 Self-Healing Data & Preventing AI Hallucinations45:00 – Future of Enterprise AI & Closing Thoughts Follow Z47 Website - https://www.z47.com/Instagram - https://www.instagram.com/z47.vc/LinkedIn - https://www.linkedin.com/company/z47-vc/ #podcast #podcasts #future #ai #aiindia #aicourses #aiupdates

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  2. How this IIT Alum is scaling India's ₹10,000 Cr AI Initiative | Intelligent Indians #AI

    ١٣ يناير

    How this IIT Alum is scaling India's ₹10,000 Cr AI Initiative | Intelligent Indians #AI

    India’s AI moment will be defined by architecture. In our new series Intelligent Indians! we sit down with the builders, policymakers, scientists, and founders shaping India’s AI decade as it unfolds. In the first episode, Avnish Bajaj and Vikram Vaidyanathan sit down with Abhishek Singh, CEO of the IndiaAI Mission, to unpack how India is designing AI as infrastructure, not experimentation. The conversation goes deep into what Abhishek describes as “DPI to the power of AI” for an ai learner in India extending India’s proven Digital Public Infrastructure (Aadhaar, UPI, DigiLocker, Account Aggregator and more) into the AI era and India AI Mission. The discussion covers how population-scale systems, once thought impossible, are now becoming India’s execution advantage. This conversation is a must watch for anyone curious about: 1. How affordable compute, open datasets, and India-native foundation models remove first-order constraints 2. The seven pillars shaping of the IndiaAI mission:from compute and data to deployment, trust, and governance 3. Why AI in India must work across languages, income levels, devices, and real-world conditions 4. How the India AI Summit is a milestone in India's longer-term systems build Chapters  00:00 Trailer1:57 Introduction2:36 What is India AI Mission4:30 Nandan Nilekani's advice5:03 What is DPI in AI 6:22 7 pillars of Indian AI10:30 Rs. 65?12:00 Developing applications that will benefit people 14:20 Knowledge and access to AI 15:25 AI helping Indian farmers16:48 India's consent architecture18:54 Where is AI helping?21:00 DeVc AI founders22:15 Is data labs a government initiative23:50 Tools to code faster25:24 Why is AI failing at production scale26:16 What is free AI commission27:41 Should data monetisation be banned28:31 Is govt doing AI startup financing31:20 Conclusion  Also watch:  India's secret advantage in AI - https://www.youtube.com/watch?v=qqvInPvPkhQ&t=1430s AI Committee Report - https://kpmg.com/in/en/insights/2025/08/rbi-free-ai-committee-report-on-framework-for-responsible-and-ethical-enablement-of-artificial-intelligence.html Follow Z47 Website - https://www.z47.com/Instagram - https://www.instagram.com/z47.vc/LinkedIn - https://www.linkedin.com/company/z47-vc/ #podcast #podcasts #future #ai #aiindia

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  3. Where will $12 Billion VC capital go in 2026? | India’s Top Investors Explain

    ١٣ يناير

    Where will $12 Billion VC capital go in 2026? | India’s Top Investors Explain

    Future Signals is Z47's view on where the next category-defining companies are likely to emerge, and the spaces we’re actively tracking alongside the founders building them. For Indian startups, 2026 promises to be an inflection year where experiments from previous years create a foundation on which the future is built.Market-defining investing rarely arrive fully formed. They are assembled, piece by piece, by founders who are willing to do the unglamorous work: shaping behaviour, stitching infrastructure, earning trust before scale shows up in a spreadsheet.  Over the last two decades, we’ve observed India’s technology story unfold in phases. First, we built capability, then scale. And finally, the confidence to build world-class businesses and public-market-ready companies. We are now moving into the next phase, where founders start redefining how value is created: by owning outcomes instead of features, and by building systems that work at population scale and travel globally.These are the Future Signals that will define 2026 and beyond.Follow Z47Website - https://www.z47.com/Instagram -   / z47.vc  LinkedIn -   / z47-vc  Chapters00:00 Introduction01:49 Are founders creating markets?05:23 Evolution of AI 7:59 How is AI changing consumer companies?10:25 Disruption via Agentic AI 12:01 Fin Ops is largest SaaS opportunity 14:28 Speed takes over startups 16:46 AI in Intelligent hardware 18:42 AI in banking and finance20:48 Consumer companies making AI personal22:43 The next META/ Binance?23:59 What does India need? 28:21 Commerce is being re-built30:03 Indian companies going global32:47 SaaS products scaling globally36:11 Manufacturing goes global38:03 Co-pilots in businesses41:43 2026 is the year of deployment#podcast #podcasts #future #ai #aiindia

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  4. Trends in Term Sheets: What Founders Need to Know

    ٢٧‏/١١‏/٢٠٢٥

    Trends in Term Sheets: What Founders Need to Know

    Between overprotective term sheets and oversimplified ones lies the real market. On this episode of #ZeroToInfinity, Avnish Bajaj and Tarun Davda, are joined by Archana Rajaram to weigh in on one of the most misunderstood parts of startup building: the term sheet. As the founder of River Law (formerly Rajaram Legal), Archana’s work has quietly shaped the “market standards” that nearly every Indian SHA now follows.In this episode, they break down the real-world changes in Indian term sheets post-2021:from liquidation preferences and reverse vesting to governance, exits, board control, and how AI is already reshaping negotiations. The way a founder negotiates a term sheet often foreshadows how they’ll build their company, handle conflict, and navigate hard decisions later.Tune in for a rare inside look at venture’s most misunderstood document01:23 Introduction to the Z47 podcast 02:52 Handshake deals to hyper-detailed clauses: how India’s term sheets have evolved05:55 Why written guardrails matter, even in trust-based relationships?08:48 Between one-pagers and legal novels lies the real market standard10:38 Founders lose leverage the moment they sign without counsel12:42 What founders miss at incorporation, they pay for at IPO16:20 You can’t switch from founder-led to board-led overnight28:02 In India, governance runs through SHAs, not boards34:07 Every founder’s dilemma: what terms really matter in your term sheet?37:39 Event of Default: India’s most controversial term and why it exists49:49 How you negotiate your first term sheet predicts how you’ll scale59:57 AI may change diligence, but judgment still writes the rulesFor more insights, revisit the related Z47 episode:   • The Terms of Term Sheets    • Hard clauses in a term sheet    • From (Z)omato to (A)ther: India’s Tech IPO...  Article:   / calculating-liquidation-preference  Follow us on: Website: https://www.z47.com/LinkedIn:   / z47-vc  X: https://x.com/z47_vcInstagram:   / z47.vc

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  5. How Emversity Is Bridging Higher Education with Real Industry Skills | Zero to Infinity

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    How Emversity Is Bridging Higher Education with Real Industry Skills | Zero to Infinity

    In this episode of Zero to Infinity, Rajat Agarwal and Chandrasekhar Venugopal sit down with Vivek Sinha, second-time founder and CEO of Emversity, to unpack one of India’s most urgent and least-discussed problems:👉 Why are millions of young Indians still unemployable after 16 years of education?👉 What will it take to build a truly job-ready workforce?👉 And why might the biggest opportunity in education lie in the “grey-collar” economy, not tech or test prep?Vivek takes us deep into the realities of India’s higher education system, the failure of legacy institutes to prepare students for real-world roles, and the massive talent gaps in healthcare, hospitality, construction, and manufacturing.He also breaks down Emversity’s groundbreaking model:On-the-job learning (not online, not offline)Industry-backwards curriculum co-designed with employersEarn-while-you-learn degrees that effectively cost students ₹0VR simulation labs and real-world skill training50%+ organic student acquisition driven purely by outcomesIf you care about India’s future workforce, social mobility, or building meaningful businesses at scale, this conversation is a must-watch.01:47 - Introduction to the Z47 Podcast02:52 - What really happened to India’s EdTech boom?03:25 - The three faces of EdTech: daycare, test prep & higher education06:24 - Intent and Outcomes:  the two pillars of real education10:51 - From disruption to discipline: building an education business that lasts15:47 - Emversity’s goal: make every student employable, not just enrolled18:59 - Bridging academia and industry through tech + training22:43 - Why Emversity bets on India’s grey-collar workforce27:55 - Earn while you learn: the zero-cost degree model31:24 - Tech-enabled, execution-driven: how Emversity scales smart37:27 - The long road ahead: can Emversity educate a million students40:30 - Changing lives, one job at a time42:00 - Building India’s next-gen education infrastructureFollow us on:Website www.z47.com/LinkedIn www.linkdin.com/company/z47-vc/Twitter: https://x.com/z47_cvInstagram: www.instagram.com/z47.vc/

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  6. India’s Secret Advantage in AI: The FDE Revolution

    ١٩‏/١١‏/٢٠٢٥

    India’s Secret Advantage in AI: The FDE Revolution

    70% of enterprise AI projects never reach production. The solution: Forward Deployed Engineers (FDEs).In this episode, Vikram Vaidyanathan and Rocketlane CEO, Srikrishnan Ganesan unpack the rise of the FDE model, from Palantir’s origins to how AI companies use it today to bridge the gap between prototypes and production.They discuss why traditional SaaS orgs break in AI, the governance needed to scale FDE teams, and why India is emerging as the global engine room for AI deployment.A crisp breakdown of the role shaping the future of enterprise AI.Chapters 00:01:29 -  Introduction to the Z47 podcast 00:04:16 - The 70% problem: Why enterprise AI fails to scale00:05:25 - The origin story: Inside Palantir, where it all began00:12:43 - Evolving from deployment to GTM engine00:14:23 - The Vision Selling era: from POCs to production ROI00:17:09 - What does a great FDE motion look like?00:18:59 - Building with FDE DNA: How Rocketlane practices what it preaches00:24:06 - Product, success, or stand-alone: Where should FDEs sit?00:26:22 - Scaling the FDE model: from speed to structured governance00:33:38 - Pairing on-site FDEs with India’s 24×7 talent engine00:34:21 - AI adoption as India’s next big export00:37:49 - FDEs: The human bridge between AI promise and delivery

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  7. How MoEngage Is Powering Global Customer Engagement | Zero to Infinity

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    How MoEngage Is Powering Global Customer Engagement | Zero to Infinity

    From a small apartment in Bengaluru to powering over 2 billion users across 60+ countries, MoEngage is one of India’s most quietly global success stories. This is more than a startup story — it’s a story about India’s rise as a product nation, and the founders who are reimagining how the world engages with technology.Raviteja Dodda, Narasimha Reddy and Yashwanth Kumar built a world-class customer engagement platform out of India — long before “SaaS for the world” became a buzzword.We trace MoEngage’s journey through its toughest pivots, its cultural DNA, and the product decisions that made it indispensable to brands like Airtel, Ola, Nestlé, and Samsung.In this episode of #ZeroToInfinity, MoEngage co-founders Raviteja Dodda & Narasimha Reddy join Tarun Davda & Pranay Desai of Z47. In a wide-ranging chat, they discuss the MoEngage journey - from initial failures to serving over 2Bn users.

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  8. The Startup That Can Build Anything

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    The Startup That Can Build Anything

    756 of 1,009 rows displayed Submarine parts. Metro casings. Agricultural harvesters. Even bombshell casings for the defence sector. In this episode of the #ZeroToInfinity podcast, Ximkart founder explore how solving the “thinking loop” first makes it possible to deliver parts for any industry, anywhere. Once the right inputs hit the execution loop, size, sector, and material become irrelevant, it’s all just precision manufacturing at scale.

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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.

المعلومات

  • صناع العمل
    Z47
  • سنوات النشاط
    ٢٠١٨ - ٢٠٢٦
  • الحلقات
    ٢٣٣
  • التقييم
    ملائم
  • موقع البرنامج على الويب
    Z47 Moments