6 Minutes
Nexus Venture Partners is taking a more balanced route in a market obsessed with artificial intelligence. With its new $700 million fund, the firm is deliberately splitting its attention between global AI startups and India-focused companies spanning consumer, fintech, logistics, and digital infrastructure.
At a time when AI is swallowing the lion’s share of venture capital worldwide, Nexus isn’t ignoring the trend. The 20-year-old VC clearly views AI as a defining technological shift. But instead of pouring everything into a single, overheated category, it’s doubling down on a strategy it has honed for nearly two decades: backing early-stage software and India’s fast-expanding digital economy from a single, unified pool of capital.
Balancing AI Hype With India’s Real-World Momentum
Nexus is headquartered in Delaware and operates with offices in Menlo Park, Mumbai, and Bengaluru. Since its launch in 2006, the firm has run as one integrated U.S.–India fund and team, allowing it to spot cross-border opportunities and back them early. That structure now underpins its decision to split the fresh $700 million between AI bets and India-centric startups.
On one side, the firm is backing AI infrastructure, developer tools, and AI-native software startups across the U.S. market. Its portfolio already includes names like Postman, Apollo, MinIO, Giga, and Firecrawl—tools that have become staples for developers and increasingly critical building blocks for modern AI systems.
On the other side, Nexus continues to lean into India’s digital boom. The firm sees India not just as an outsourcing hub, but as a massive, fast-evolving consumer and enterprise market where AI adoption is beginning to reshape everyday services. Its India bets span quick commerce, logistics, mobility, fintech, and construction-tech, with companies such as Zepto, Delhivery, Rapido, Turtlemint, and Infra.Market now well-known names in the country’s startup ecosystem.
“AI is a huge inflection point, and we are anchoring on that,” said Jishnu Bhattacharjee, a managing partner at Nexus Venture Partners in the U.S., in an interview with TechCrunch. “But we are also seeing that many of these AI innovations are actually getting used to serve the masses better.”
Early-Stage Discipline Over Mega-Fund Mania
Nexus manages about $3.2 billion across its funds and has invested in more than 130 companies over the years, with over 30 exits including several IPOs. Despite the flood of capital into AI and the temptation to raise ever-larger funds, the firm is intentionally keeping its new vehicle at $700 million—the same size as its previous Fund VII, launched in 2023.
Abhishek Sharma, another managing partner at Nexus in the U.S., explained that the firm’s sweet spot remains very early stages: inception, seed, and Series A. Initial checks can be as small as a few hundred thousand dollars, going up to around $1 million. From there, Nexus looks to double down as these startups scale.
The firm started with a $100 million fund in 2006 and typically raises a new fund every 2.5 to 3 years. Bhattacharjee noted that keeping Fund VIII at $700 million is a deliberate strategic choice, not a cap imposed by the market.
“We don’t want to raise money for the sake of raising,” he said. The firm believes this fund size is optimal for its early-stage strategy, allowing it to stay close to founders and remain flexible rather than being forced into later-stage or purely growth investing just to deploy capital.
Why Nexus Thinks India Can Leapfrog in AI
India may not yet match the U.S. in cutting-edge AI research or foundational model development, but Nexus argues the country is poised to move faster than many expect in applied AI and domain-specific innovation. Several structural advantages are starting to align.
- Deep talent pool: India has millions of engineers, data scientists, and developers already working in global tech and IT services, many of whom are now moving into AI-native startups.
- Digital infrastructure at scale: With initiatives like UPI, Aadhaar, and public digital infrastructure, India has built a foundation that makes it easier to deploy AI across finance, commerce, and public services.
- Need for localized AI models: India’s linguistic diversity and regulatory environment are driving demand for models and platforms tuned to local languages, dialects, and compliance needs.
According to Bhattacharjee, these factors are pushing Indian startups to build AI applications, agents, and platforms quickly, often using open-source tools and emerging local AI infrastructure providers. Instead of merely consuming global models, India is beginning to create its own AI layer tailored to the country’s realities.
Nexus points to portfolio companies such as Zepto and Neysa to illustrate how this shift is unfolding. Zepto, a fast-growing quick-commerce platform, uses AI throughout its stack—from customer support chat flows to rider routing, inventory optimization, and fulfillment. It’s a textbook example of how a consumer-facing business in India can become deeply AI-native behind the scenes.
Neysa, meanwhile, is building AI infrastructure tailored to India’s needs, including support for sovereign AI workloads, localized data handling, and multi-language capabilities. As concerns around data residency, security, and national AI strategies grow, such India-specific infrastructure could become critical.
Returning Investors Fuel the New Fund
Nexus did not disclose performance metrics for its funds, but the partners emphasized that returns to date have been strong enough that most of this new $700 million fund is backed by returning limited partners. Its LP base spans the U.S., Europe, the Middle East, Southeast Asia, and Japan, reflecting global appetite for exposure to both cutting-edge AI and India’s digital growth story.
In an era where many venture firms are racing to rebrand as “AI-first,” Nexus is effectively betting that nuance will win: AI as a core technology shift, yes—but balanced with a grounded, long-term view of where digital adoption, infrastructure, and real-world demand are moving, especially in markets like India.
Comments
skyspin
quick comment: Pretty balanced take. Good to see focus on real world infra not only flashy LLM plays. But where are the metrics?
Armin
I saw this at a startup, balancing AI hype with local ops is way harder than it reads. Zepto stuff rings true, tho
mechbyte
Nexus playing both sides sounds smart, but can one fund reaally do deep AI and India scale? hmmm, curious.
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