South India’s Deep Tech Boom May Hit a Funding Wall

India’s southern states are no longer competing just on IT exports or ease of doing business. Instead, they are entering a new race, one defined by AI, deep tech, and research-led innovation. 

Since 2025, states such as Karnataka, Tamil Nadu, Telangana, Kerala, and Andhra Pradesh have rolled out targeted startup policies, each aiming to shape a distinct model for building the country’s next generation of technology companies.

Yet, beneath this policy momentum lies a deeper question of whether relatively modest funding and grant-heavy ecosystems can truly support globally competitive deep tech startups.

A Policy Push With Uneven Depth

Karnataka, long considered India’s startup capital, approved its Startup Policy 2025-2030 with an outlay of ₹518 crore, targeting over 25,000 startups across AI, quantum computing, and deep tech. The state continues to rely heavily on its dense private capital networks, talent pool, and global capability centres.

Tamil Nadu has taken a more structured approach. In 2026, it launched India’s first dedicated DeepTech Startup Policy, backed by an initial mobilisation plan of ₹100 crore. The policy focuses on research-to-commercialisation pipelines and positions the government as an early adopter of deep tech solutions.

Telangana, meanwhile, is building infrastructure-first. Through initiatives such as T-Hub, WE Hub, and the Telangana Data Exchange (TGDeX), the state is enabling AI innovation through fund-of-funds mechanisms and prototype grants, often in the ₹30 lakh range.

Kerala has leaned toward public-sector AI adoption, while Andhra Pradesh is making long-term bets through initiatives like the Amaravati Quantum Valley, positioning itself in frontier technologies.

On paper, the ambition is clear. But on the ground, execution, and capital depth, remain uneven.

The States’ Startup Ecosystem Ranking National Report (2025) shows that India’s startup scene has grown beyond major metro areas. It now covers over 770 districts, with over 53% of startups originating from Tier 2 and Tier 3 cities. This indicates a shift from metro-focused ecosystems to a more geographically diverse startup economy. 

Bengaluru’s Advantage

While newer ecosystems are still being built, Bengaluru continues to hold a structural advantage.

In an earlier conversation with AIM, Karthikeyan Madathil, Partner at Yali Capital, mentioned that Bengaluru has an advantage due to its existing ecosystem, with startups having ample access to capital, mentorship, and infrastructure.

He adds that the city’s maturity stems from years of organic ecosystem-building rather than policy-first intervention, creating a self-sustaining cycle of founders, operators, and investors.

The National Report also states that Karnataka remains among India’s top startup hubs, with over 3,000 DPIIT-recognised startups, thereby reinforcing Bengaluru’s leadership.

“We expect to continue to see good deep tech companies seeded out of Bengaluru,” Madathil highlights, pointing to the depth of talent and capital availability that newer ecosystems are still trying to replicate.

At the same time, he acknowledges the role of emerging policy-driven ecosystems. “A model like T-Hub is great for a city trying to bootstrap a deep tech ecosystem,” Madathil notes, citing how Telangana’s focused efforts are beginning to yield results.

Capital Without Conviction

Despite the proliferation of state policies, much of the funding remains grant-driven rather than equity-driven, limiting its ability to create venture-scale companies.

Rathnakar Samavedam, Investment Director at Hyderabad Angels Fund, said that most of these systems were grant-driven. He explained that when they invest in equity, the risk of not recovering returns becomes significant, which is why people tend to prefer grants.

This cautious approach shows that government capital aims to promote innovation, not make high-risk investments in scalable ventures.

Samavedam also notes that much of this capital is distributed through research institutions that may lack commercial experience. “Creating a product is easy, but selling to customers and building relevance in the market is something most Indians lack,” he says. 

What Founders Are Experiencing

For founders, navigating these policies is far more nuanced. Rajashri Sai, Founder and CEO of Impactree, says that while state incentives exist, their impact is often limited by small ticket sizes and slow execution.

Many founders usually managed to access a few lakhs through government initiatives, but found that this was the maximum support available. Beyond this threshold, they are primarily left to fend for themselves. 

According to them, any additional funding is often sourced through self-financing or costly loans, highlighting a significant discrepancy between the government’s intended support and the actual availability of capital.

Sai points out operational inefficiencies in certain state ecosystems, indicating that while the commitments are substantial, fund disbursements can be slower when acquired through state policies.

Even within southern ecosystems, funding behaviour varies. “Chennai is strong for early-stage B2B SaaS. But at scale, it can become risk-averse,” she says, explaining why many startups eventually move to Bengaluru or global markets for larger rounds.

A Capital Paradox

Even where capital exists, it is not evenly distributed.

Samavedam pointed out a growing disparity in early-stage funding, observing that successful startups often get more capital; for example, some founders seeking $10 million are approved for $25 million, whereas others fail to secure even $100,000.

He emphasises that early-stage investing is becoming more cautious, especially in deep tech. “Capital remains cautious because the success rate is less than 1%-2,” he says, explaining why investors focus on fewer, high-conviction bets.

The divergence across southern states is not just about funding size, but philosophy. Hyderabad’s ecosystem reflects a foundation-led, infrastructure-first approach, while Bengaluru continues to operate as a market-driven capital hub.

Senthil Kumar, Senior Advisor at Celesta Capital, previously said this was a fundamental difference in how innovation is built. “Deep tech can’t be funded like a SaaS company,” he says, emphasising the need for patient capital and long-term thinking.

Yet, as Madathil points out, both models are valid. “The policy goals of the two states have been different, and both are examples of successful states in developing tech ecosystems,” he highlights.

Even as policies emphasise deep tech, a core bottleneck persists, translating research into commercially viable products. Even when startups build strong technology, global go-to-market (GTM) remains a critical weakness.

“The biggest gap is validating global demand and scaling beyond initial customers,” said Shailendra Nath Jha, Co-founder and Director of Product and Strategy at Invention Engine. This often forces startups to look beyond India early, limiting the long-term impact of domestic policy support.

Despite fast growth and broader support, funding caps at ₹20-25 lakh for early-stage startups, far below the ₹1000 crore scale of national schemes, hindering deep tech ambitions.

Investors increasingly believe that India’s deep tech success will depend on hybridising ecosystem models. “The ideal model is a hybrid, Bengaluru’s speed combined with Hyderabad’s depth,” Kumar highlights. But for that to happen, policy must evolve from grant distribution to capital formation, and from infrastructure building to market creation.

Southern India’s policy efforts signal a clear move towards leadership in AI and deep tech, but without increased funding and improved commercialisation, the gap with global competitiveness will remain, despite the evolving ecosystem.