Bengaluru-based QpiAI, which builds integrated quantum and AI solutions for enterprises, has secured $32 million in fresh funding. The round was led by Avataar Ventures and the National Quantum Mission (NQM), with participation from both existing and new investors, according to an official press release.
Sector-focused quantum-AI tools gain traction
QpiAI combines quantum computing with artificial intelligence to solve complex industrial challenges. Its sector-specific software platforms support advanced simulation, optimisation, and data analysis. The company has also built a full-stack quantum computer with proprietary hardware and software, enabling real-world quantum applications in fields such as materials science and drug discovery for global clients.
The company was founded by Dr Nagendra Nagaraja, a former Nvidia and Qualcomm executive in 2019, QpiAI is developing proprietary quantum hardware and software. It claims to have already demonstrated practical quantum applications in material science and drug discovery for global clients, the release mentioned.
“We gained strong traction with NISQ computers for education and research. Now, as the market shifts to utility-scale quantum systems with logical qubits, we are leading that transition,” Nagaraja said.
India’s quantum aspirations get a boost
The company is playing a key role in advancing India’s quantum ambitions by focusing on practical and accessible quantum technologies with global applications. To date, QpiAI has filed over 11 patent applications and is planning to expand its team from the current 100-125 employees to 200-250. It currently operates out of two facilities in Bengaluru.
The fresh funding is expected to support the company’s operations for the next 3 to 3.5 years. Founder and CEO Dr. Nagendra Nagaraja said QpiAI aims to unveil a 64-qubit quantum machine by the end of next year. The company is also working towards building error-corrected logical qubits-crucial for real-world applications like quantum chemistry simulations and precision medicine. While high qubit error rates remain a challenge in the field, QpiAI’s new qubit architecture reportedly offers longer coherence times, making effective error correction more feasible.
