QpiAI vs Neysa

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. QpiAI employs 10-50 people, while Neysa has 50-200 employees.

Neysa has raised more in total funding at $30M, compared to QpiAI's $3M — a gap of $27M.

Neysa holds the higher Awaira Score at 55/100, compared to QpiAI's 35/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 20-point gap that reflects meaningful differences in scale or traction.

QpiAI was founded by Nagendra Nagaraja in 2019. Neysa was founded by Shashank Samala in 2023. Visit each company's profile on Awaira for a full founder biography.

QpiAI: QpiAI develops a hybrid quantum-classical computing platform designed to accelerate AI and optimization workloads, combining quantum processing units with conventional AI accelerators. The company builds both quantum hardware prototypes and a software stack that abstracts quantum circuits for enterprise and research users in India.\n\nThe company raised approximately $3M in Seed funding and has partnered with national research institutions and defence organizations pursuing quantum-AI applications. QpiAI targets industries where combinatorial optimization problems — logistics routing, drug discovery, financial portfolio optimization — stand to benefit from quantum speedup.\n\nIndia's national quantum mission has allocated significant capital to domestic quantum computing development, and QpiAI is positioned as one of the few vertically integrated players with both hardware and AI software capabilities. As quantum hardware matures, the company's early investment in the full stack gives it a differentiated position in the emerging quantum-AI convergence market. Neysa: Neysa builds cloud infrastructure purpose-built for AI workloads, offering GPU-accelerated compute, storage, and networking optimized for training and inference at scale. The platform targets enterprises and AI labs in India that need high-performance compute without the cost and complexity of hyperscaler lock-in.\n\nThe company raised approximately $30M in Series A funding and has attracted early adopters across the Indian AI startup ecosystem seeking affordable, low-latency GPU access. Neysa operates its own data centers with an emphasis on cost-per-token efficiency for large model training.\n\nAs Indian AI labs and enterprises scale their model development ambitions, Neysa sits at the center of a critical infrastructure gap. Domestic GPU cloud capacity is severely constrained relative to demand, and Neysa is one of the few India-headquartered players building the physical and software stack to address it.

QpiAI was founded first in 2019, giving it 4 years of additional market experience. Neysa was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

QpiAI has approximately 10-50 employees, while Neysa has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, QpiAI and Neysa are direct competitors — both operate in the AI Infrastructure space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.