Bengaluru-based deeptech startup QpiAI raises USD 32 million to scale utility-scale quantum computing and global expansion, backed by National Quantum Mission and Avataar Ventures.
In a landmark moment for India’s quantum technology sector, Bengaluru-headquartered deeptech firm QpiAI has raised USD 32 million (~INR 279 crore) in a Series A funding round co-led by Avataar Ventures and the National Quantum Mission (NQM) — a move that positions QpiAI as a frontrunner in building utility-scale quantum computing systems that seamlessly integrate artificial intelligence (AI) and quantum technologies for real-world enterprise applications.
With this latest capital infusion, QpiAI’s post-money valuation now stands at USD 162 million (~INR 1,392 crore), making it the most well-funded quantum startup in India to date. The round also saw participation from both existing and new investors, reflecting growing confidence in the company’s full-stack quantum strategy and its commercial viability in global markets.
India’s Quantum Bet
Founded in 2019 by Dr. Nagendra Nagaraja, a former technologist at Nvidia and Qualcomm, QpiAI represents one of India’s boldest attempts to leapfrog in the next era of computation — quantum. The startup was among eight select startups chosen by the Government of India under the National Quantum Mission, which is armed with a USD 750 million outlay to establish India as a global quantum power.
“Quantum computing is not just a scientific endeavour—it’s a strategic necessity. QpiAI has shown real traction in commercialisation, not just research,” said Dr. Ajai Chowdhry, Chairman of the NQM, noting that the mission’s early support was instrumental in attracting global investors.
From Lab to Market: India’s First Full-Stack Quantum Computer
QpiAI has already developed and launched India’s first full-stack quantum computer, named QpiAI-Indus, which boasts 25 superconducting qubits. Launched in April 2025, the system is already operational for clients in automotive simulation, materials science, and pharmaceutical research.
Unlike companies that focus on discrete layers of the quantum stack, QpiAI has built a vertically integrated system — including its own quantum chipsets, control electronics, cryogenic infrastructure, quantum software stack (SDKs, compilers, simulators), and industry-specific platforms like QpiAI Pharma, QpiAI Logistics, and QpiAI Matter.
“Everything is homegrown, from the chip to the cloud,” said Dr. Nagaraja. “We’re not chasing the unicorn tag—we’re chasing deep impact.”
AI-First, Quantum-Native
the company’s strategic advantage lies in its fusion of AI and quantum computing. The company’s systems are AI-native, which means AI is used for calibration, qubit optimisation, quantum error correction, and algorithm refinement — areas where traditional programming falls short.
“Quantum can make AI more robust, and AI can make quantum practical,” said Nagaraja in a recent interview. “This synergy is critical to moving from NISQ (Noisy Intermediate-Scale Quantum) to utility-scale systems.”
The company claims to have achieved profitability at the EBITDA level for the past three years, with gross margins of around 60% and net margins in the 20–30% range. QpiAI expects to hit INR 100 crore (USD 12 million) in revenue by FY26 and is actively expanding to Singapore, the Middle East, and Eastern Europe, alongside existing operations in India, Finland, and the United States.
Growth Trajectory: Toward 1,000 Qubits and Beyond
QpiAI Series A funding will accelerate QpiAI’s roadmap to utility-scale systems, starting with a 64-qubit machine launching in November 2025, and further scaling to 128, 256, and 1,000+ qubits by 2030. The company aims to demonstrate India’s first logical qubit by 2026, a milestone toward error-corrected quantum computing capable of outperforming classical machines.
To meet growing demand, the company is launching a 10-acre quantum computing park in Bengaluru’s Devanahalli and a new R&D centre near the Mall of Asia. The facilities will scale manufacturing from lab-scale demos to bulk enterprise-grade deployments.
QpiAI already has 20+ enterprise customers, including Indian government agencies, automotive firms, and pharmaceutical companies, and is exploring partnerships with US federal clients and European system integrators.
Building Talent and National Capacity
With a 100-person team — 25 of whom hold PhDs from leading quantum institutions — QpiAI plans to double its workforce to 250 by 2026, including over 60 PhDs. The company also leads India’s quantum education efforts through its Explorer, an education and prototyping platform already used by 30,000+ students and developers in collaboration with over 15 academic institutions.
“This is about national self-reliance in a strategically sensitive area,” said Kanishka Agiwal, QpiAI’s VP of Sales. “We’re building sovereign capacity in core science and technology.”
The Bigger Picture
the company’s rise mirrors India’s broader ambitions under the National Quantum Mission, which includes plans for quantum communications, multi-node networks, quantum-safe cybersecurity, and novel materials synthesis. Other startups such as QNu Labs, Dimira Technologies, and Quanfluence have also received NQM backing, but QpiAI is emerging as the face of India’s deeptech renaissance.
“Quantum computing has the potential to advance mankind beyond imagination,” said Mohan Kumar, Managing Partner at Avataar Ventures. “Our company is well-positioned to lead this wave for emerging markets.”
Final Word
As global tech giants like Google, IBM, and Amazon pursue quantum supremacy, QpiAI offers an agile, cost-effective, and sovereign alternative, one deeply embedded in India’s strategic tech roadmap.
With this funding round, QpiAI isn’t just building computers — it’s building India’s claim to a trillion-dollar quantum future.
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