226: 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 it 3. How AI agents change the stakes: real-time failures, hallucinations explainability and ai updates 4. A practical playbook for CIOs and CDOs: SLAs, rapid experimentation, and leadership upskilling 5. 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 Enterprises 02:30 Introducing Rohit Choudhury (Acceldata Founder) 05:30 Early Days at InMobi & Rewriting the Stack 3 Times 08:30 First Startup Failure & Learning Customer Obsession 11:30 Birth of the Data Observability Category 14:30 How Enterprise Data Pipelines Really Work (1000+ Apps) 18:00 Why Enterprises Need End-to-End Data Visibility 21:00 COVID Story & Missed Investment Moment 24:00 Why hallucinations are dangerous for enterprises 27:00 Governance in AI 30:00 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 Platform 39:30 Cost Explosion: Cloud vs Private AI 42:30 Self-Healing Data & Preventing AI Hallucinations 45:00 – Future of Enterprise AI & Closing Thoughts Follow Z47 Website - Instagram - LinkedIn -

You can listen to 226: Why VCs regret not investing in Acceldata - From IIT to Silicon Valley online on Radio and Podcast. Open the player on this page to stream the available audio.

226: Why VCs regret not investing in Acceldata - From IIT to Silicon Valley is an episode from Matrix Moments by Matrix Partners India.

This episode is 40:54 long.

This episode was published on Jan 27, 2026.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Matrix Moments by Matrix Partners India when more episodes are available from the podcast feed.