NeuralStackIndian AI startups are continuing to attract fresh capital in 2026, even as a broader slowdown hits global artificial intelligence funding. A dashboard from AI Startup Impact, which tracks AI-only funding deals, shows that total capital raised across the market is significantly lower than in the previous year. Yet a steady stream of new Indian rounds in recent months highlights how investors are still backing teams they believe can build durable AI businesses.
The tracker estimates that AI startups globally have raised more than tens of billions of dollars across hundreds of deals so far, with both capital deployed and the number of deals down sharply versus 2025. Despite this retrenchment, the data points to continued enthusiasm for AI infrastructure, MLOps and enterprise software tools, categories that figure prominently in India’s emerging AI portfolio. Indian deals now sit alongside high-profile rounds in San Francisco, San Mateo and other established hubs, suggesting a more geographically distributed AI funding landscape.
Fintech remains one of the more resilient themes in the Indian AI story. In Mumbai, Rezolv AI closed a Series A round that brings in new backers from the growth-stage venture ecosystem. The company is positioned squarely at the intersection of financial services and artificial intelligence, a space where investors see room for automation, smarter risk models and new digital products.
Health-focused AI is also drawing early-stage capital. Noida-based Consint.ai secured a Series A round led by BIG Global Investment JSC, with participation from Equanimity Ventures Trust II and Seafund Venture India Scheme I. The startup operates in healthtech and biotech, signaling investor belief that AI-driven tools can reshape diagnostics, patient engagement and clinical workflows over time.
On the enterprise side, new Indian startups are lining up to build AI-native software and tools for businesses. Superleap AI in Bengaluru raised a pre-seed round led by Peak XV Partners, positioning itself in the enterprise software and SaaS segment. In the same city, profound secured a seed round backed by Stellaris Venture Partners and 3one4 Capital, focusing on HRTech as companies look to automate people operations and talent workflows with AI.
Infrastructure and MLOps, the plumbing behind many AI products, have become another focal point. Fire AI, based in Mumbai, raised a seed round with SucSEED Indovation Fund as its investor, reflecting continuing appetite for startups that help others build, deploy and manage AI systems. Earlier in the year, Tringbox AI in Mumbai and Vobiz AI in Bengaluru also closed seed rounds in AI infrastructure and MLOps, supported by investors such as Nikhil Gandhi and Piper Serica VC Fund, adding to the region’s bench of infrastructure vendors.
Noida is emerging as a secondary hub with a cluster of pre-seed and seed-stage activity. YoLearn.AI, an edtech-focused AI startup, raised a pre-seed round backed by DataAlpha.ai and White Swan Global, aiming to bring AI into learning and training experiences. Constems-AI in Noida closed a pre-seed round in AI infrastructure and MLOps, with Finvolve and India Accelerator providing capital and early guidance.
Why this matters
The recent Indian funding rounds land in a market where overall AI capital has dropped markedly from 2025, with both total dollars and deal counts falling. That context makes it notable that investors remain willing to write new checks for Indian AI teams, particularly in foundational infrastructure, enterprise software and sector-specific applications like fintech and healthtech. The pattern suggests India’s AI ecosystem is shifting from experimental pilots to more serious company building, with founders and investors testing which use cases can support durable business models.
The sector and city data in the tracker also reinforce how capital is clustering around a few key hubs and themes. Bengaluru stands out as a locus for enterprise software, HRTech and deep tech, while Mumbai’s AI startups are leaning into fintech and infrastructure, and Noida is seeing a mix of healthtech, edtech and tooling plays. As global investors reassess risk in AI, these Indian hubs are building track records of funded teams and local investors that could shape the next wave of startups.
Looking ahead, the pipeline of early-stage Indian AI companies suggests the current cohort is just the beginning. With pre-seed and seed deals still the majority of rounds in the tracker, many of today’s small financings are effectively option bets on future category leaders. If these startups can convert their funding into real products and paying customers, India’s AI scene could play a larger role in the global ecosystem even if overall funding remains more constrained than in the boom years.