News in Short

• QpiAI founder Dr. Nagendra Nagaraja left senior roles at Nvidia and Qualcomm to start India’s first full-stack quantum computing company from scratch in 2019.
• QpiAI’s quantum-powered algorithms already cut an automotive company’s car design simulation time from 40 hours to just 30 minutes.
• The Bengaluru startup raised $32 million in Series A funding co-led by India’s National Quantum Mission, at a valuation of $162 million.
• The 64-qubit Kaveri chip goes commercial in Q3 2026, targeting drug discovery, defense, materials science, and financial optimization.

Most startup founders say they spotted a gap in the market. Dr. Nagendra Nagaraja spotted a gap in India’s future. It was 2019. He had a resume most engineers would kill for — senior positions at Nvidia and Qualcomm, two of the most powerful semiconductor companies on the planet. Dr. Nagaraja had access to cutting-edge research, global peers, and a career path that made perfect sense. He walked away from all of it.

Instead, Nagaraja came back to Bengaluru, bootstrapped a project from near-zero, and set out to build what no Indian company had built before: a full-stack quantum computer — one where every layer, from the chip to the software, is designed, assembled, and owned entirely in India. That company is QpiAI. And six years later, it is the most well-funded quantum startup in India, sitting at a $162 million valuation, with a working quantum chip, real enterprise customers, and a roadmap that stretches to 1,000 qubits by 2028.

Why Did He Build This? The Problem India Couldn’t Ignore

To understand QpiAI, you first have to understand the problem it is solving — and why it matters far beyond the lab.

Classical computers — the machines that run everything from your phone to the world’s financial markets — are hitting a wall. They process information in bits: 0s and 1s. Quantum computers use qubits, which can be 0, 1, or both at the same time. This property, called superposition, alongside another called entanglement, lets quantum systems explore millions of possibilities simultaneously. For certain categories of problems — molecular simulation, drug discovery, materials design, logistics optimization, cryptography — this is not incrementally better than classical computing but orders of magnitude faster.

The rest of the world understood this a decade ago. IBM, Google, and China’s state-backed labs poured billions into building quantum systems. India watched from the sidelines, importing talent and exporting physicists.

Nagaraja decided that was unacceptable. QpiAI’s VP of Sales Kanishka Agiwal — who joined the company from AWS — has been direct about what is at stake. Quantum is not like regular software or services, he has said in interviews. It is core science, and if India does not build it domestically, the country will remain dependent on others for one of the most strategically sensitive technologies of the coming century.

What Does QpiAI Actually Build?

Unlike most quantum startups that focus on one layer of the stack — software, algorithms, or hardware access — QpiAI builds everything. Superconducting qubits. Control electronics. Cryogenics infrastructure. Error correction algorithms. Compilers. Application platforms. From chip to software, it is all homegrown.

This full-stack approach is both QpiAI’s greatest strength and its most ambitious bet. It means longer build cycles and higher costs. But it also means no foreign dependencies, full IP ownership, and the ability to optimize every layer for real-world performance — a critical advantage when selling to defense, pharma, and government clients who cannot afford supply chain vulnerability.

In April 2025, on World Quantum Day, QpiAI launched QpiAI-Indus — India’s first full-stack quantum computer, a 25-qubit superconducting system. Then in November 2025, Prime Minister Narendra Modi presided over the launch of Kaveri, a 64-qubit processor, at a national science conclave in Delhi. Kaveri goes commercial in Q3 2026.

What Real Problems Is QpiAI Already Solving?

This is where the story gets genuinely exciting. Quantum computing is often discussed in the future tense. QpiAI is already delivering results in the present.

Automotive design: A major automotive company used QpiAI’s quantum-inspired SDK to simulate car trunk design. The result? A simulation that previously took 40 hours ran in 30 minutes. That is not a lab result. That is a production use case with a paying client.

Drug discovery: Pharmaceutical companies are using QpiAI’s QpiAI-Pharma platform to simulate molecular interactions — the kind of complex calculations that take classical supercomputers weeks. Quantum systems can explore molecular configurations in parallel, dramatically compressing the timeline for identifying viable drug compounds.

Materials science: QpiAI-Matter enables the simulation of new materials at the atomic level — critical for sectors like battery technology, semiconductors, and aerospace components.

Financial optimization: Banks and financial institutions are exploring QpiAI’s platforms for portfolio optimization and risk modeling, where the scale and complexity of variables quickly outpaces what classical computers can handle.

Defense and space: The Indian government, through the National Quantum Mission, is backing QpiAI specifically because quantum computing is a national security asset. Quantum systems can model real-time simulations for defense and space environments and support quantum-safe communication networks that classical encryption cannot match.

In an interview with BW Businessworld, Nagaraja projected that by 2030, as the company scales to 100 logical qubits, annual revenues could cross $1 billion — driven by surging demand from defense, space, chemicals, and pharma sectors.

The AI Layer That Sets QpiAI Apart

QpiAI is an AI-quantum hybrid. Controlling qubits is extraordinarily difficult. They are fragile, error-prone, and sensitive to the faintest environmental noise. Most quantum systems require constant manual calibration. QpiAI has embedded an AI-native optimization layer — called AINN — directly into its quantum stack. This layer automatically calibrates circuits, reduces error rates, and tunes quantum algorithms in real time.

The company’s position, as Nagaraja has explained publicly, is that AI and quantum computing are inseparable at the engineering level. You cannot run a reliable quantum system without AI handling the calibration and error correction beneath the surface. Most global competitors treat them as parallel tracks. QpiAI baked them together into the foundation from day one — and that integration is now a core competitive advantage.

Building the Team and the Nation’s Quantum Pipeline

QpiAI currently employs 100 people, including 25 PhDs. By next year, it plans to grow to 250 staff with over 60 PhDs — quantum chemists, AI researchers, chip designers, and cryogenics engineers all working under one roof in Bengaluru.

But Nagaraja is thinking beyond his own company. Over 30,000 students and developers have enrolled in QpiAI’s quantum education programs through its Explorer platform. The company works with academic institutions, building India’s quantum talent pipeline from the ground up.

A new 10-acre quantum computing park in Bengaluru’s Devanahalli area is also underway, alongside a larger R&D facility. The goal, as Nagaraja told BW Businessworld, is to build manufacturing capacity for bulk orders — not just lab demonstrations.

‘Not Chasing the Unicorn Tag’

In a global field dominated by IBM, Google, and Rigetti, QpiAI is positioning itself as an agile, cost-effective, vertically integrated alternative — especially for governments and enterprises in emerging markets. It has customers in automotive and pharma, active government R&D engagements, and is expanding into Singapore, the Middle East, Finland, and the United States, where it has set up a subsidiary.

In a widely noted comment to BW Businessworld, Nagaraja was clear about what QpiAI is and is not chasing. “This is a long game,” he said. “We’re not chasing short-term unicorn status. We’re chasing deep impact. Quantum is a trillion-dollar opportunity and India deserves a seat at that table.”