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Articles by Umesh
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The Future of Business AI: 3 Predictions That Will Shape 2026
The Future of Business AI: 3 Predictions That Will Shape 2026
Across industries and boardrooms, one question is dominating every discussion: how do we scale AI to drive real…
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Business AI Crossroads: Keeping Pace vs. Erecting WallsJul 7, 2025
Business AI Crossroads: Keeping Pace vs. Erecting Walls
The pace of AI innovation is unrelenting, and it’s testing everyone’s ability to move fast. As the AI race intensifies,…
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4 Comments -
Model Context Protocol (MCP): The New Standard Powering Enterprise AIMar 31, 2025
Model Context Protocol (MCP): The New Standard Powering Enterprise AI
Wondering why MCP has been popping up everywhere lately? Well, in every major tech revolution, there's always a key…
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The AI Imperative: Redefining Enterprises and the Investment LandscapeOct 15, 2024
The AI Imperative: Redefining Enterprises and the Investment Landscape
I recently had the privilege of speaking at an exclusive gathering of investors and luminaries in Jackson Hole…
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5 Comments -
Moving from “What is AI” to “How do we AI” in the EnterpriseMar 18, 2024
Moving from “What is AI” to “How do we AI” in the Enterprise
I’ve been spending a lot of time on the road, traveling to meet with customers around the world as they navigate the…
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6 Comments -
Rethinking Regulation as We Embrace AIJun 20, 2023
Rethinking Regulation as We Embrace AI
AI has the potential to do tremendous good for the world. We’ve seen the value it brings already.
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No Shortcuts in the Long GameFeb 21, 2023
No Shortcuts in the Long Game
A note to founders and leaders: Doing the right thing takes time. It may even slow you down a bit.
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3 Business Predictions You Need to Know in 2023Jan 11, 2023
3 Business Predictions You Need to Know in 2023
Nothing like a few fireworks to ring in the New Year. The biggest sparkler of them all might very well be the…
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Q for Sales Puts Privacy and Security First: Our Video AI Commitment to a Higher StandardMar 29, 2022
Q for Sales Puts Privacy and Security First: Our Video AI Commitment to a Higher Standard
There are some words I don’t use lightly. Groundbreaking, innovative, unprecedented—these terms are thrown around so…
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Nowhere to Go But Up: Bold AI Predictions for 2022Jan 27, 2022
Nowhere to Go But Up: Bold AI Predictions for 2022
Ah, 2022, a new year. Not so fast.
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Activity
31K followers
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Umesh Sachdev shared thisI recently had the opportunity to speak with MIT Sloan Management Review India about India’s approach to AI and how it signals where enterprise AI is heading globally. In a landscape dominated by ever-larger, general-purpose LLMs, the real question isn’t scale for its own sake, it’s outcomes. What’s becoming clear is that purpose-built, application-focused SLMs are often the more effective path: • Lower cost and increased token efficiency • Faster deployment across diverse environments • Stronger performance in domain-specific use cases • Better alignment with real-world workflows and constraints At Uniphore, this is a direction we’ve been deeply aligned with. Enterprise AI doesn’t need to be bigger, it needs to be more relevant, more precise, and more accountable to business outcomes. #BusinessAI #SLM #EnterpriseAI #AIUmesh Sachdev shared this#MITSMRIndiaEdge | India is betting on smaller, application-focused AI models to scale adoption across a fragmented, multilingual market, breaking from the global push toward ever-larger systems. The strategy focuses on affordable, use-case-driven AI rather than scale for its own sake. “In a global environment dominated by extremely large, general-purpose AI, the true value for India is not the sheer size of the model, but how well the AI fits India’s unique contexts,” said Rishi Bal, Executive Vice-President and Head of BharatGen. “India’s SLM strategy aligns perfectly with the future of enterprise AI, where outcomes triumph over bloated models,” said Umesh Sachdev, Co-Founder and CEO of Uniphore, the Business AI company backed by NVIDIA and AMD. Airolabs.ai’ Dev Singh said, “India is a unique blend of scale and diversity and its fast-growing digital public infrastructure has created the world’s largest AI consumer base.” “Domain-specific models are cheaper to train and deploy, while delivering stronger performance in areas like healthcare or regional-language governance,” said Tredence Inc.’s Pavan Nanjundaiah. “Organizations start with a base model, then fine-tune it using internal data and expert feedback,” Altimetrik’s Jayaprakash Nair said. Sunil Kansal of Shasat said the approach lowers costs, reduces dependence on heavy compute infrastructure and could accelerate adoption across sectors from banking to public services. Story by: Kaumudi Kashikar Gurjar Subscribe to our weekly newsletter for more updates. #MITSMRIndiaWhy India Is Betting on Smaller AI ModelsWhy India Is Betting on Smaller AI ModelsMIT Sloan Management Review India
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Umesh Sachdev shared thisAt the The Montgomery Summit, I sat down with Monty TV’s Jacki Karsh to discuss a key driver of meaningful #AI outcomes: executive sponsorship. It’s not company size that determines success, but #leadership alignment. When AI is championed from the top, results are faster and more impactful. Without that support, adoption still happens, just with more limited outcomes. AI adoption today runs deep, but not yet wide. What’s exciting now is that enterprises are ready. After years of experimentation, they understand what AI can do and where it delivers value. 2026 will be the year AI goes wide. https://lnkd.in/gSWBEb3cMontyTV Interview with Umesh Sachdev, Co-Founder & CEO, UniphoreMontyTV Interview with Umesh Sachdev, Co-Founder & CEO, Uniphore
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Umesh Sachdev shared thisProud to contribute to KPMG’s Tech Report 2026, highlighting how organizations can lead in the intelligence age. One theme is clear: when AI proves its value in one part of the business, momentum builds quickly. We’ve seen this firsthand across our 2,500+ customers. What starts as a single use case can rapidly expand across the enterprise, unlocking step-function gains in productivity and efficiency. At the same time, the gap between leaders and laggards is widening. Organizations that operationalize AI effectively across teams and workflows won’t just improve performance; they’ll redefine it. Bridging that gap requires the right expertise and ecosystem. Partnerships like KPMG and Uniphore are key to helping global organizations accelerate their Business AI journey. #BusinessAI #KPMG #PartnerUmesh Sachdev shared this8 voices. One global view of what’s next in tech. KPMG’s Global Tech Report 2026 captures timely trends, real-world challenges, and practical opportunities from professionals who are actively shaping the future of tech. Thank you to all our featured luminaries for their invaluable insights: Dean Bortz, Rohit Gupta, Zack Kass, Phil Mottram, Seth Patton, Noelle R., Umesh Sachdev, Jenny Wood. Don’t miss out, explore the insights: https://social.kpmg/04f994
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Umesh Sachdev shared thisThank you, Katherine Bindley, for putting the spotlight on this important conversation, one we’re seeing play out in real time across many of our 2,500+ enterprise customers. In short, more tokens do not necessarily mean more outcomes. What we are seeing with our customers is that scale combined with generic LLM usage can quickly become expensive and noisy. Purpose-built, fine-tuned Small Language Models (SLMs), grounded in enterprise workflows, decisions, and domain knowledge, are proving to be a more effective path: • Up to 100x lower cost per token vs. LLMs • Higher accuracy due to domain specialization • More predictable and governable behavior • Better alignment to real business processes Our customers are already saving with SLMs while increasing tangible results. So yes, tokens matter. But the real question is: are we optimizing for token usage, or for outcomes per token? That distinction will help define the next phase of #BusinessAI.Umesh Sachdev shared thisOk friends the new topic is tokens! Are you keeping an eye on how your employees are spending them? Just grateful they're using AI at all and giving them carte blanche to spend as they see fit? My latest offers a sneak peek into what might be ahead on this front. Some companies have started tracking token use among their employees. If an an engineer just spent $10K on a day's worth of work deployed to a bunch of agents, what exactly did those little bots get up to? Was it worth it? Very few firms are looking at this rn (most just want to see adoption). But automating work isn't cheap so it's eventually going to need to be on their radar. Then comes a fun question: how adept are you as an organization at governance around this? And as an employee, how skilled are you at being efficient and maximally being productive with your token use? Do you know when to augment, automate or just do something yourself? It's not top of mind for the majority of people now but one researcher told me he's started seeing companies screen for this in interviews 👀 Free link to my latest and thanks to the great sources who chatted with me for this piece: https://lnkd.in/gXazmTTAYou’ve Finally Figured Out AI at Work—Now Comes the BillYou’ve Finally Figured Out AI at Work—Now Comes the Bill
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Umesh Sachdev shared thisI recently had the opportunity to speak with reporters from two leading Indian news outlets on the role of India in the AI economy. India has the potential to be the adoption capital of AI, driven by citizen level use cases in education, healthcare, and beyond. As adoption scales, it creates a feedback loop where real world deployment improves models, accelerates innovation, and strengthens the talent ecosystem. At the same time, the importance of sovereign AI is becoming clear, with countries focused on building and controlling their own models, data infrastructure, and AI stacks. While the US leads today, India has a unique opportunity to combine talent, cost advantage, and large scale adoption to shape the next wave of AI. At Uniphore, we are seeing this shift firsthand, with strong growth as Business AI adoption accelerates globally and India poised to play a bigger role ahead. Thank you, Avik Das and Lalit K Jha, for capturing these perspectives. You can read the articles here: https://lnkd.in/gD5AWfiV and https://lnkd.in/gEaKSJBr #BusinessAI
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Umesh Sachdev shared thisGreat to be back in Santa Monica for The Montgomery Summit with such an incredible community of business leaders and investors. A special moment for the Uniphore team was announcing our category-defining partnership with Rackspace Technology, bringing AI-driven Outcome-as-a-Service to market. Shortly after the announcement, I joined Gajen Kandiah for a fireside conversation moderated by Sumant Mandal to discuss the next phase of Business AI and how our partnership will help customers accelerate adoption. I also joined Ketan Karkhanis in a discussion moderated by Rajan Mehra on what it truly takes for companies to operationalize AI, and spoke with Atif Zaim, Deputy Chair & Managing Principal at KPMG US, in a conversation moderated by John Chambers on how organizations are building an AI-powered future. Thank you to the March Capital team for another memorable summit. #BusinessAI #Partnership Patrick Eilerman Tarek M. Ebeid Chad Seiler Prasad Jayaraman
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Umesh Sachdev shared thisToday we announced a new partnership between Uniphore and Rackspace Technology focused on helping enterprises move AI from experimentation into production. Business AI succeeds when the entire system works together. That includes infrastructure, compute, data, models, inferencing and AI agents operating inside secure, governed environments. Too often organizations are forced to assemble this across multiple vendors, which slows deployment and increases operational risk. Through this partnership, organizations can now rely on a single partner to deploy and operate the full enterprise AI stack. By combining Uniphore’s Business AI Cloud with Rackspace’s private AI cloud, we are bringing together infrastructure, compute, models and AI agents into one secure and governed enterprise architecture. The result is a faster path to deploying AI while maintaining the governance, security and sovereignty that enterprises require. Rackspace’s commitment to Business AI Cloud, and the sovereign, open architecture it is built on, reinforces its role as foundational infrastructure for Business AI. Together we are helping organizations accelerate deployment and deliver measurable business outcomes through a new Outcomes-as-a-Service model. Thank you to Gajen Kandiah and the Rackspace team for the partnership and shared vision. Excited about what we are building together. #BusinessAI #Partner https://lnkd.in/ghvY9ceF
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Umesh Sachdev shared thisLooking forward to joining John Chambers and Atif Zaim at The Montgomery Summit to discuss how #AI is reshaping modern business. Uniphore’s collaboration with KPMG brings together deep operational expertise and advanced AI to help organizations rethink core functions through intelligent automation and agentic workflows. I’m excited to share how Uniphore’s Business AI Cloud is enabling enterprises to unlock institutional knowledge and deploy AI agents that deliver real, measurable impact at scale. This promises to be a great discussion. Hope to see you at the Summit. #BusinessAIUmesh Sachdev shared thisAs enterprises rethink how work gets done, KPMG and Uniphore are pioneering a partnership that blends deep operational expertise with cutting-edge AI capabilities. Together, they’re reshaping procurement, workforce, finance, and client service models through automation and agent-based workflows. Atif Zaim, Deputy Chair & Managing Principal at KPMG U.S., will share how the firm is transforming core business functions and client services with next-generation AI. Umesh Sachdev, Co-Founder & CEO of Uniphore, will highlight how Uniphore’s Business AI Cloud is powering this reinvention, enabling AI agents that democratize enterprise knowledge and deliver measurable value at scale. Moderated by John Chambers, Founder & CEO of JC2 Ventures, this conversation will examine how the two organizations are building AI-native operations and what other enterprises can learn as they begin their own transformations. 🎟️ Secure your spot for this session and more — request an invitation today: https://lnkd.in/eJjhrS-C
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Umesh Sachdev shared thisGreat to join KPMG’s Transformation Edge in Ireland. Thanks to Bobby Soni and Des S. for the engaging discussion and to Colm ONeill and team for the strong collaboration between KPMG and Uniphore as we help businesses turn AI momentum into real outcomes. A few themes that stood out: • The need to industrialize AI with the right architecture, governance, and data foundations • Moving beyond pilots and empowering business teams to scale adoption • The growing importance of sovereign, open, ecosystem-driven AI platforms Partnerships like KPMG and Uniphore are key to helping global organizations realize transformation at scale. #BusinessAI
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Umesh Sachdev liked thisUmesh Sachdev liked thisJensen Huang told Lex Fridman last week that he thinks we've achieved AGI. The same week, ARC-AGI-3 launched a new interactive benchmark. Humans score 100%. The best frontier AI scored 0.26%. The CEO who sells the GPUs says we're there. The benchmark that tests it says we're not close. Both are right. And that's the interesting part. Jensen is right that current models perform at roughly high-human level across language, reasoning, and knowledge — and work thousands of times faster. If your definition of AGI is "can do most knowledge work as well as a human," then yes, we crossed that line somewhere in the last six months. ARC-AGI-3 is right that current models can't do things that any human can do trivially — novel spatial reasoning, pattern abstraction, tasks that require genuine understanding rather than pattern matching. If your definition of AGI is "can do anything a human can do," we're nowhere near it. The gap between these two definitions is where every enterprise AI decision gets made. I've spent my career in that gap. The models are extraordinary at well-defined, repeated tasks — classification, extraction, routing, summarization. They fail on novel reasoning, ambiguous judgment calls, and anything that requires understanding context the training data didn't cover. This is exactly why the SLM Flywheel works. You don't need AGI. You need a model that's world-class at your specific domain. Checkr doesn't need a model that can reason about philosophy. It needs one that classifies background checks at 90%+ accuracy. Intercom doesn't need a model that solves ARC puzzles. It needs one that resolves customer issues better than GPT-5.4. The AGI debate is fascinating. It's also irrelevant to what you should build this quarter. The question that actually matters for your enterprise: which of your tasks are in the "current AI is superhuman" bucket, and which are in the "current AI fails trivially" bucket? Where does your hardest AI use case fall? #EnterpriseAI #AGI #DeploymentScience #AIStrategy #Uniphore
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Umesh Sachdev liked thisGreat conversation with Umesh Sachdev. We talk about why ecosystem partnerships matter and how Business AI is moving from experimentation to production. Through our strategic relationship with Uniphore, we’re working to operationalize AI agents across real enterprise workflows, with governance and trust at the core of how AI gets deployed. We’re evolving how we deliver value, moving from pure people‑based models to combining human expertise with AI‑enabled, outcome‑driven solutions. This ecosystem approach is proving powerful, helping clients access AI capabilities they can license, scale, and embed directly into how work gets done.
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Umesh Sachdev liked thisI am looking forward to speaking at this Summit. Please come and join us…Umesh Sachdev liked thisSmart AI Leadership Summit by Smart Venture Media is back. 3 summits in 365 days. This one's the best yet. The room on April 2: C-suite & VPs from Meta, Microsoft, Nebius, Box, Together AI, LangChain, Databricks, Lyft, MongoDB, Snorkel AI Execs from Anthropic & ElevenLabs Founders of billion-dollar companies: Crusoe, Higgsfield AI, Serval, Dexterity, Inc. Partners from Andreessen Horowitz, IVP, New Enterprise Associates (NEA), Bessemer Venture Partners, Gradient, M12, Microsoft's Venture Fund Not a massive conference. Not a private dinner. Something in between — and harder to get into than both. Every seat earned. We cover the billion-dollar questions: How do you build distribution for your AI startup? How do you raise? How do you make money? April 2. SVB Experience Center, SF. 8:30AM to after party. Code GraceGongCEO = 50% off. (Yes we vet paid tickets.) Lock in 👇 Link in first comment. #SmartAISummit #SmartAILeadershipSummit #VentureCapital #SmartAILeadershipSummit2026 #AI #SF
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Umesh Sachdev liked thisUmesh Sachdev liked this“I wish we could find a content marketer to help our CEO. Someone experienced, proactive, creative, and trustworthy.” If that’s a conversation you’re having right now, here’s the reality: You’re not looking for a content marketer. You’re looking for someone who can: • Work directly with the C-suite • Turn strategy into stories • Build a repeatable content engine • And execute without needing hand-holding That combination is rare. Because it requires both strategic thinking and getting your hands dirty. That’s me, Randy Ksar. I’ve been working with executives, CMOs and comms leads for 15+ years. Writing a variety of content such as blogs, social, emails, internal comms and thought leadership articles. In addition, filming, editing and podcasting to create authentic, engaging and human content. Let’s chat. Share this with your team or DM me to start the conversation. I’m available as a contractor or full-time starting March 31.
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Umesh Sachdev liked thisUmesh Sachdev liked thisI’ll be speaking in an upcoming session on Agentic AI for marketing. I’ll share practical ways to activate audiences faster and help teams take a confident first step from AI exploration to real execution on April 1st at 9:00 AM PT. I’m looking forward to joining our guest speaker Katie Linford, Principal Analyst at Forrester, for a conversation that stays grounded in what marketing teams actually need right now. Many leaders see the potential of Agentic AI, but figuring out where to begin can feel unclear. We’ll spend time making that more approachable. Katie will walk through how Forrester helps organizations think about their AI journey, from building the right foundation to identifying early use cases that can deliver real value. I’m especially excited to dig into audience segmentation as a starting point. With recent advances in Agentic AI, marketers can move beyond manual processes and complex rule-building, and start designing audiences using natural language and unified customer data. We’ll walk thorough - Why successful Agentic AI adoption starts with strategy and not technology - How enterprises can adopt marketing AI responsibly using Forrester’s AI Deployment Model for GTM functions - How Agentic AI helps marketers segment audiences faster and improve targeting precision - How an Audience Agent can recommend and generate audiences using unified customer data — in a marketer’s own language — making it easier to take the first step with Agentic AI If you’re thinking about how to get started with AI in your marketing efforts, you’ll find this discussion useful! Sign up here: https://lnkd.in/eS7-tihsAgentic AI for Marketing: Find and Activate Audiences FasterAgentic AI for Marketing: Find and Activate Audiences Faster
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Honors & Awards
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AI Innovator of the Year
2026 Tech Innovation CUBEd Awards
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Top CEOs of AI Product Firms 2023
AIM Research
The “Top CEOs of AI Product Firms 2023” is a curated tribute, that celebrates the experts who are not only mapping out the intricate terrain of artificial intelligence but also setting the gold standard for visionary leadership. They are the architects of a future where AI extends beyond lines of code to enrich human life and possibilities.
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40 Under 40: India's Brightest Young Business Leaders
Economic Times of India
The Economic Times 40 under Forty annual listing shines the spotlight on India’s brightest young business leaders, chronicling the focus on young talent across sectors and celebrating their achievements.
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Silicon Valley Business Journal ‘40 under 40’ Honoree
Silicon Valley Business Journal
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35 Under 35
Entrepreneur India
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Time - Next Generation Leader
TIME
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MIT Tech Review ‘Innovator Under 35’
MIT Tech Review
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Time Magazine ‘Next Generation Leader’
Time Magazine
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6 Patents in AI and Conversational AI
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From our PearX S25 cohort, meet Pravāh, the AI-native operating system for the electric grid When Mohak Mangal, Dhruv Suri, and Aman Gupta looked at the strain on the U.S. electric grid, they saw a system pushed to its limits. Exploding demand and unpredictable supply have made blackouts increasingly common. This costs the economy more than $150B a year, a number that could 10x in the next five years. Mohak Mangal and team founded Pravāh to help fix it. Their platform helps utilities and grid operators make real-time decisions on load, generation, and congestion, reducing blackout risks, optimizing power procurement, and bringing much-needed stability to the backbone of modern life. We’re proud to support the Pravāh team as they take on one of the toughest and most important infrastructure challenges of our time.
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Siddhartha Ahluwalia
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A founder who has spent 32 Years building IP-Owned Tech in India's Defense Sector. Ashok Atluri, Founder of Zen Technologies Limited shares a growth story bootstrapped from Hyderabad: -Revenue: ₹60 Cr (FY21) → ₹930 Cr(FY24) -Market cap: 40 Cr (2012-13) → 13000 Cr today -Growth: 400X in 12 years Takeaways from our conversation: 1. India historically imported 65–70% of its defense equipment. Today, defense exports have grown more than 30× over the past decade, with the private sector contributing around 60% of exports. Domestic defense production has increased to ₹1.27 lakh crore, a 174% rise since FY 2014–15. 2. For over two decades, Zen built advanced simulators but struggled to sell them in India because single-vendor bids weren’t accepted. The IDDM policy in 2015 gave preference to IP-owning Indian companies and allocated 75% of the capital acquisition budget to local sourcing. And decades of R&D became a real market worth ₹200 billion. 3. Defense tech startups in India have raised $184 million in VC funding since 2020. Zen’s journey shows that IP-owned Tech built with self-funded R&D can build the most defensible advantage, similar to how Apple captures value through IP rather than manufacturing. 4. Zen’s anti-drone systems were proven in field operations, leading to export inquiries from over 20 countries. This mirrors the broader trend of India’s defense exports growing from ₹1,940 crore (FY14) to ₹21,083 crore (FY24). Field-tested solutions build trust far faster than lab demos or pilot projects. 5. Government fundings are rewarding innovation over manufacturing. Programs like iDEX provide up to ₹10 crore for proven concepts, while DRDO offers ₹50 crore per system under the Technology Development Fund. This shift allows companies to reinvest profits into next-generation R&D. 6. Ashok believes that not all technologies should be patented. Highly secretive or complex innovations can be reverse-engineered if patented. Instead, patent what is obvious to outsiders to protect your competitive edge. 7. Build with a focused approach on Pareto technologies with maximum impact. Instead of chasing every opportunity, Zen concentrated on the 20% of technologies delivering 80% of results, anti-drone systems and simulators. Prioritizing high-leverage areas compounds impact effectively. 8. Time market entry around overlooked gaps: In 2018, drones were a hot topic, but there was little attention on anti-drone systems. Zen entered this gap and was ready when the need became urgent, from regional conflicts to domestic security. Opportunities often lie where others are silent. 9. Create policies around your innovation: Self-funded R&D firms face unique risks that conventional procurement rules often overlook. Zen advocated for new categories rather than adapting breakthrough technologies to unsuitable frameworks, ensuring their innovations could be evaluated on merit. Full Episode https://lnkd.in/gnAFEj3f
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Aditya Arora
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Meet the Tycoons building India's "Second Act" in DeepTech and AI - 2026 We are witnessing a fascinating transition. Serial founders are taking their IPO winnings and "war-room" experience to solve problems that were previously considered "too hard" for the Indian ecosystem. Here are the 6 heavyweight insights into what the Tycoons are building next: 1) Deepinder Goyal (Zomato) - TEMPLE He is building a brain-health wearable that tracks cerebral blood flow in real-time 🧠 He wants to prove the "Gravity Ageing Hypothesis" - the idea that gravity affects brain blood flow over decades. Deepinder wants to make brain health as trackable as heart rate. Traction: He’s invested $25M of his own wealth and recently raised a $54M round at a $190M valuation. He’s currently hiring "engineer-athletes" with <16% body fat to join the mission. Expect a limited rollout by late 2026 🧬 2) Mukesh Bansal (Myntra/Cult.fit) - NURIX He is building an AI-native services platform building "custom AI agents" for enterprises 🤖 He wants move from "Physical Wellness" to "Digital Intelligence." Nurix builds voice and text agents that handle sales and support with human-like nuance. Already raised $27.5M from Accel and General Catalyst. They are currently operational with an annual revenue run rate of approx ₹5.35 Cr as they scale their Series A ⚙️ 3) Aman Gupta (boAt) - OFFBEAT STUDIOS A new entrepreneurial "Aman 2.0" venture launched following his transition to a non-executive role at boAt 🎬 While the exact "product" is in stealth, Aman’s vision is to back "bold, hungry, and impatient" ideas that disrupt traditional consumer categories. Launched on March 3, 2026. Aman has officially stepped away from daily boAt ops to lead this, marking a shift from "Volume Hardware" to "Offbeat Innovation" 🎧 4) Mukund Jha (Dunzo) - EMERGENT An "agentic vibe-coding" platform that builds full-stack apps via AI 💻 He wants to make software development as easy as chatting. Mukund is moving from the "Logistics of Goods" to the "Logistics of Code." $100M total funding raised (Series B) as of Jan 2026. They’ve hit a $100M Annual Run Rate in record time, proving that "Vibe-coding" is the new industry standard ⚡ 5) Shashank ND (Practo) - CENT He is constructing a preventive health startup that uses AI-assisted whole-body MRI and 120+ biomarkers to screen for 300+ conditions 🛡️ To catch cancer and heart disease before you even feel a symptom. It's the "Antivirus" for the human body. Raised $5M in Seed funding (March 2026). They’ve already completed 1,500+ scans with 26% showing meaningful findings. Physical centers are opening in Bengaluru, Delhi, and Mumbai now 🏥 ➡️ The Insight: The "Second Act" of these tycoons is a masterclass in Risk Evolution. They are using their personal capital to fund scientific bets that could define the 2030s. They aren't just building companies - they are building the technological "Sovereignty" of a new India 💎
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Muktesh Narula
Dove Soft Ltd. • 6K followers
A Wake-Up Call for the #CPaaS Ecosystem: Undercutting on #RFPs & Silent #Data Leaks? While we welcome Telecom Regulatory Authority of India (TRAI) ’s renewed focus on #antispam regulations, which aims to create a cleaner digital messaging ecosystem, there’s a glaring issue being overlooked—one that could compromise both user #privacy and the #financial viability of ethical players in the #SMS aggregation and CPaaS space. Across India, several banks and government departments are issuing RFPs for enterprise #messaging services. The intention is sound—select vendors via competitive bidding. However, what’s concerning is that some SMS #aggregators are bidding at rates far below cost, sometimes at fractions of a paisa per SMS. Let’s be realistic: There’s no way to sustain service delivery at those margins unless there’s an alternative revenue stream in play. And unfortunately, that stream often comes from the #unauthorized #monetization of sender and receiver data—selling databases, enabling profiling, or even worse, fuelling grey-market promotional messaging. What’s the impact? • Legitimate aggregators who play by the rules are forced out of contention. • Government and banking users’ data is at risk of compromise. • The very trust that anti-spam regulations aim to build is eroded by these backdoor practices. Why isn’t this being regulated? If TRAI is serious about consumer protection, then addressing only the symptom (spam) and not the disease (unethical business models) is insufficient. We need: 1. Audits of #RFP pricing versus cost benchmarks 2. Data governance policies to accompany every enterprise SMS contract 3. Blacklisting of vendors involved in data leakage or unauthorized data use 4. A separate framework within anti-spam regulation focusing on aggregator-level compliance It’s time to call out these malpractices and ensure that enterprise messaging remains #secure, #ethical, and sustainable. Otherwise, we risk turning a powerful #communication tool into a dangerous vulnerability. #CPaaS #SMS #DataPrivacy #TRAI #DigitalTrust #EnterpriseMessaging #GovTech #BankingInnovation #TelecomRegulation #StopDataLeaks
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Apoorv Gautam
Atomic Capital • 35K followers
At Atomic Capital, we are committed to backing exceptional founders building for the next wave of India’s consumption story. The country’s consumer market is expected to more than double by 2030, reaching over $4 trillion, with fashion emerging as one of the fastest-growing categories. By 2030, India’s apparel market is projected to cross $125 billion, driven by a rising middle class, increased digital adoption, and evolving consumer preferences. Fashion, particularly women's apparel, will play a significant role in this growth. Despite being a highly competitive category, we believe there's still white space for brands that combine customer insight, product excellence, and operational efficiency. We are incredibly excited to announce our investment in ANNY. From our very first interaction with the founding team, we felt there was strong alignment in vision, strategy, and focus on building a lean, sustainable, and scalable business. Here's why we chose to partner with them: 1. Aligned Operating Philosophy: The founding team - Japjot, Aveen, and Rahul, shares our belief in building a capital-efficient brand. They focus on solving scale challenges with systems, data, and discipline—not by burning cash. From day one, they valued our partnership beyond just the capital contribution. 2. Distinctive Product Supply: Anny excels at the intersection of freshness × fabric × fit. Thanks to rigorous efforts in curation and sizing, Anny has achieved some of the lowest return and cancellation rates we’ve seen in the category. 3. Lean Inventory Model: The team has cracked a unique approach to managing inventory. Their system allows for timely sourcing of new designs that often become hero products—ensuring working capital efficiency while minimizing stockouts and lost sales. 4. High Consumer Love: With 100% of revenue coming through their own website and a substantial share from repeat customers, the brand has cultivated a deep and loyal customer base. 5. Efficient Acquisition Strategy: Anny has built a robust content engine, helping consumers visualize style and fit on real people. This “real-world relatability” has significantly improved conversion and reduced acquisition costs. 6. A Complementary Team: The founding team brings the perfect blend of design and curation, finance and analytics, and technology—a necessary trifecta to scale a modern, digitally native apparel brand. The founder-market fit here is strong and clear. 7. Strong Revenue Momentum: The team has scaled 7x in 12 months. Consistent growth, increasing repeats, and strong unit economics are a testament to the brand's product-market fit and sharp execution. In our experience, operational discipline, new launch velocity, a data-driven approach, and sharp storytelling can collectively build an enduring brand in Fashion. We believe the Anny team is uniquely positioned to do just that. Atomic Capital Nikhil Patil Manish Jain #ConsumerBrands #Fashion #D2C #IndiaConsumption #AtomicCapital
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Shubhendu Parth
DQ CHANNELS • 5K followers
📢 TRAI releases India’s first manual to rate properties on digital connectivity With 80% of mobile data consumed indoors, ensuring strong in-building networks is now mission-critical for work, education, healthcare, and daily services. The Telecom Regulatory Authority of India (TRAI) has launched the Manual for Rating of Properties for Digital Connectivity — a standardised framework to assess, certify, and future-proof buildings for high-speed, reliable digital access. 🔆 Salient Features of the Manual ➡️ Property Categories: Separate frameworks for residential/commercial (Category A) and high-footfall public infrastructure (Category B). ➡️ Nine & Seven Key Criteria: Covering fibre readiness, in-building coverage, service performance, resilience, user experience, and more. ➡️ Transparent Scoring: Weighted sub-parameters for objective ratings, public verification via QR code. ➡️ Compliance & Renewal: Mandatory registration for DCRAs/Property Managers, with periodic reassessment. ➡️ Dispute Resolution: Multi-stage appeal process, including TRAI-led review. ➡️ Future-Proofing Guidelines: Advisory on integrating DCI at the design stage, supporting 5G, IoT, and IPv6. 📄Read the full Voice&Data news report: https://lnkd.in/dnAsQYFZ #DigitalConnectivity #TRAI #Telecom #5G #InBuildingCoverage #SmartBuildings Jyotiraditya M Scindia Anil Kumar Lahoti Department of Telecommunications ( DOT )
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Julien SIMON
Fortino • 34K followers
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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Vaibhav Shingde
Anlyst Capital • 8K followers
𝗦𝗻𝗮𝗯𝗯𝗶𝘁'𝘀 𝗠𝗮𝘀𝘀𝗶𝘃𝗲 $𝟯𝟬 𝗠𝗶𝗹𝗹𝗶𝗼𝗻 𝗦𝗲𝗿𝗶𝗲𝘀 𝗖 𝗥𝗼𝘂𝗻𝗱! • Snabbit is planning to raise $30 million at a valuation of $172 million in the Series C round led by Bertelsmann India Investments along with Lightspeed Venture Partners, Elevation Capital and Nexus Venture Partners . • Recently, Snabbit raised $19 million at an $80 million valuation in the Series B round and achieved 92 crores in revenue as of October 2025 which 48000x revenue growth. • Snabbit connects households with trained professionals for services like cleaning, dishwashing and laundry in 10 minutes and is competing directly with Pronto, Urban Company. • These companies operate on a quick commerce model just like Zepto, Blinkit, Instamart and the raised funds will be utilized for training professionals and working capital. 𝗧𝗼 𝗕𝗲 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗲𝗱... Entrackr Inc42 Media The Economic Times The Times Of India Indian Startup News Aayush Agarwal Flipkart Amazon #Snabbit #Pronto #QuickCommerce #Zepto #Blinkit #Flipkart
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