By Anand Gupta | July 2025
India’s startup story is nothing short of remarkable. From food delivery platforms and ride-hailing apps to fintech and gig economy solutions, innovation has exploded in every direction. But as the Commerce Minister Piyush Goyal rightly pointed out recently, India’s startup ecosystem has mostly thrived on business model innovation — not DeepTech.
As the world enters a new phase of technological supremacy rooted in core scientific research, India must now embrace a bold ambition: to become a DeepTech powerhouse.
What Is DeepTech, Really?
“DeepTech” isn’t just another buzzword. It stands for startups that are built on scientific breakthroughs, engineering excellence, and original IP. Think:
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AI hardware and not just AI apps,
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Robotics and quantum computing, not just coding platforms.
The distinction? DeepTech is hard. It’s expensive, slow to mature, and often uncertain — but it's what drives real technological leadership.
Why India Needs DeepTech Now
India ranks as the 3rd largest startup ecosystem in the world, but lacks globally recognised DeepTech products. No Indian version of TensorFlow, QNX, Android, or even a breakthrough biotech platform exists. Our engineers power the world’s biggest tech companies — Google, Microsoft, Tesla — but what about building at home?
China’s DeepTech rise is instructive. It started by reverse-engineering Western tech but invested in core chemistry, physics, and manufacturing early on. That’s why it now leads in batteries, semiconductors, and solar tech. India can’t afford to miss this bus.
The 5 Pillars India Must Build
Here’s what India needs for a thriving DeepTech ecosystem:
1. Product Mindset
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We need founders who build, not just manage.
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India rarely develops its own globally competitive tech products.
2. Strong R&D Culture
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Most Indian startups don’t invest in fundamental research.
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Great DeepTech startups—like NVIDIA or Google—were built by tech-first founders who got their hands dirty.
3. Technical Depth
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Education must shift from tool-based learning to fundamental science.
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Why don’t most Indian colleges teach AI from first principles?
4. Academic-Industry Collaboration
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Projects should involve multidisciplinary teams.
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In the US, DARPA helped spark a robotics revolution through targeted funding.
5. Smarter Government Policies
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Stop restricting startup support to incubators only.
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Create shared fabrication labs, testing facilities, and certification centres for startups.
What’s the Government Doing?
Some good news:
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ANRF (Anusandhan National Research Foundation): ₹6,000 crore corpus to foster R&D across science disciplines.
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PLI Schemes: Encouraging semiconductor and electronics manufacturing.
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India Semiconductor Mission: DeepTech at the chip level.
But the challenge remains: policy must meet practice. We must fund projects not just based on location (incubators) but on merit — the depth of the tech and the talent building it.
From Classroom to Lab: Reform Education First
Our engineering education still focuses on coding syntax, not scientific reasoning.
We need Indian versions of MIT’s culture of foundational training and Stanford’s cross-domain projects.
Imagine college students working on nanotech, AI hardware, medical robotics — not just mobile apps and websites.
Build in India. For the World.
India’s future won’t be built on aggregators and delivery apps. It will be built in labs, workshops, cleanrooms, and classrooms. The world needs scalable, sustainable solutions in health, climate, mobility, energy — and DeepTech is the bridge.
We already have the talent. We need to channel it towards real invention, bold experimentation, and the courage to fail until we succeed.
Final Thoughts
If we want the next OpenAI, BYD, or CRISPR breakthrough to be born in India, we must:
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Prioritise original research,
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Build world-class product labs,
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Reform engineering education, and
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Fund visionary founders.
India’s DeepTech decade must start now. Not just to compete — but to lead.

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