Pratyus Patnaik

After a six-month pilot, we’re officially launching Practo in the US. For us, this isn’t just about entering a new market; it’s about seeing something built in India work at a global scale. An India-built healthcare platform is now being used to navigate care in one of the world’s most complex healthcare systems. With deep data, an outcomes-led approach, and a focus on trust and clarity, we’re excited to begin this next chapter, bringing better healthcare navigation to more people, across more geographies. Onwards.

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On the latest episode of Embracing Erosion I sat down with Suyog Deshpande, Co-Founder & CEO of Webless (a Fluvio Ventures portfolio company). Before starting Webless, Suyog spent years at Amplitude, Salesforce, and Samsara - shaping products and GTM strategy at scale as a product marketing leader. That perspective is now fueling one of the boldest bets in tech: 🏗️ rebuilding the web for LLMs. Instead of optimizing for clicks and SEO, Webless imagines an agentic web -where sites are designed to interact directly with AI models and agents. We dug into: - What an LLM-native web could actually look like - How companies can prepare to be LLM-ready - What metrics will matter beyond pageviews and clicks - Why safety and trust are core to agent-driven experiences - Lessons Suyog brings from “big tech” into this transformation If you’re curious about how discovery, trust, and value exchange will evolve online, this one’s worth your time. Link to the full episode in the comments 👇

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On February 18, during India's AI Impact Summit, a company called Sarvam shipped a 105-billion-parameter model trained from scratch in India on government-subsidized GPUs, designed for 22 Indian languages. It outperforms DeepSeek-R1 on certain benchmarks at one-sixth the size. The same summit produced $200 billion in investment pledges from Amazon, Microsoft, Google, and Reliance. The headlines were about the money. The real story was Sarvam. This post examines in detail why it took this long, what changed, and whether Sarvam is the first crack in an old equilibrium or a lonely exception. "Indians Rule Big Tech. Why Can’t India Build?": Link in comments.

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Prayank Swaroop is a partner at Accel in India and focuses on cybersecurity, developer tools, marketplaces, and SaaS investments. In our conversation, we discuss: 1. How Accel finds Great Founders early on 2. Sector-Wise Thesis in AI 3. Why Growth means Product in AI 4. Rise of Founder-Influencers 5. $650million India Fund 6. Beyond Roti, Kapda, Makaan 7. Why Accel is Big on Content 8. 15 Years in VC 9. Highs & Lows of VC Ecosystem 10. Knowledge Compounds in VC 11. Conviction over Consensus Listen now 👇 • YouTube: https://lnkd.in/gmp4TpXa • Apple Podcasts: https://lnkd.in/gK2ahhWz • Spotify: https://lnkd.in/ggUKnVvV

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🎉 We're thrilled to announce our $1.2 million seed funding round! What began as a dream in our Indian Institute of Technology, Roorkee dorm room, overlooking the iconic dome of the main building, has evolved into a journey of relentless innovation now operating from two global hubs of technology, San Francisco 🇺🇸 and Bengaluru 🇮🇳 Both Aryaman and I have been building together ever since we first met in our first year of undergrad. We have sold everything from business cards to B2B SAAS. One can say we have learnt the fundamentals of company building in the rawest form possible - by ideating, executing, failing and ideating again. Now, we're channeling these foundational experiences into tackling one of today's most pressing challenges - 𝗧𝗵𝗲 𝗔𝗜 𝗿𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗶𝘀 𝗵𝗲𝗿𝗲. 𝗕𝘂𝘁 𝘀𝗼 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘃𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗼𝗳 𝗼𝘂𝗿 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻. Here's what most enterprises don't realize: 𝗗𝗮𝘁𝗮 𝗶𝘀 𝗻𝗼𝘄 𝗲𝘅𝗲𝗰𝘂𝘁𝗮𝗯𝗹𝗲. Your prompts and knowledge bases aren't passive information - they're live instructions controlling AI behavior. 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘁𝗼𝗼𝗹𝘀 𝗮𝗿𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗯𝗹𝗶𝗻𝗱 𝘁𝗼 𝘁𝗵𝗶𝘀. SAST, DAST, WAFs were built for predictable code. But AI agents evolve in production and can be tricked with simple prompt injections. We've seen chatbots leak customer databases, LLMs expose proprietary data, and helpful assistants turn hostile.The old playbook doesn't work when data becomes executable. That's why Repello AI exists - we help enterprises secure their AI applications with our comprehensive end-to-end platform. We've been working hands-on with customers across healthcare, finance, and tech to secure their AI deployments - from chatbots handling sensitive data to autonomous agents making critical decisions. This round wouldn't have been possible without investors who were the first to trust our vision and validate our hypothesis about the coming AI security crisis: World-class VCs: Venture Highway (acq. by General Catalyst), pi Ventures, Entrepreneurs First Legendary angels and backers: Charlie Songhurst | Vivek Raghavan | Satya Vyas | Hari Srinivasan | Neeraj Arora | Abishek Chopra | Priya Mohan | Roopan Aulakh | Manish Singhal | Akhil Andasu | Rahul Samat | Dhruv Tyagi These weren't just investors - they were the first believers in a future where AI security isn't an afterthought but the foundation of trustworthy AI. At Repello AI, we're actively shaping the secure foundations of the AGI - ASI age. This is more than cybersecurity; it's our mission to protect the very future we're building. And trust us - we're just getting started. 🛡️🚀 #SeedFunding #AI #CyberSecurity #AISecurity #RedTeaming #Guardrails

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India Just Took a Quiet but Important Step Into the Deep Tech Age The world is entering the Deep Tech age. AI, quantum, advanced materials, space and climate technologies aren’t sci-fi anymore. They’re the next industrial foundation. Globally, venture capital is already responding. In H1 2025 alone, startups raised ~$162.8B, with AI accounting for nearly 64% of all deal activity. Deep tech funding is accelerating too. Europe saw ~$7.8B flow into deep tech, up 56% YoY. The common thread behind many of these breakthroughs? Universities. In the US, companies like Facebook and Snapchat were born out of university ecosystems. In China, deep tech funding is tightly coupled with state-backed research institutions and academic labs. Capital follows research, and research compounds into companies. India, historically, hasn’t had that bridge. Our universities have done a great job preparing talent for jobs, but far less for entrepreneurship, commercialization, or patient research-led company building. That gap is precisely what makes last month’s announcement important. SINE, IIT Bombay has launched India’s first incubator-linked deep tech VC fund: Y-Point Venture Capital Fund, with a ₹250 Cr corpus. This is not just another fund launch. It’s a structural shift. Deep tech doesn’t begin with pitch decks. It begins in labs, patents, research papers, and years of experimentation. Y-Point is a SEBI-approved Category II AIF focused on pre-seed and seed investments from IITs and leading research institutions. It plans to back 25–30 companies, with ticket sizes up to ₹15 Cr, across AI, advanced computing and manufacturing, materials, defence and space, climate tech, and life sciences. It builds on IIT Bombay’s two-decade track record of nurturing 500+ startups and over 1,000 innovators. This mirrors what global ecosystems figured out early. Deep tech needs patient capital, domain expertise, and tight integration between research and venture funding. India is also seeing early signs of this shift beyond academia. Initiatives like Foundary, backed by Nikhil Kamath and Kishore Biyani, point to growing recognition that the next wave of value creation won’t come from quick consumer wins, but from building foundational technologies over time. The question now isn’t whether India can produce deep tech companies. It’s whether our institutions can become the equivalent of Y Combinator, Stanford, or Tsinghua for the next decade. IIT Bombay’s move suggests we’re beginning to build that answer. The Deep Tech age isn’t coming. It’s arriving quietly, methodically The investors who recognize this won’t chase trends. They’ll fund foundations. #DeepTech #PrivateMarkets #VentureCapital #IITBombay #IndiaInnovation #PatientCapital #Foundary #FutureOfInvesting #ChangeWealth

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