QpiAI vs Fireworks AI

Fireworks AI has a disclosed valuation of $4B, while QpiAI's valuation is not publicly available, making a direct size comparison difficult. Fireworks AI employs 150 people.

Fireworks AI has raised more in total funding at $327M, compared to QpiAI's $3M — a gap of $324M. Combined, the two companies have completed 3 known funding rounds.

Fireworks AI leads with an Awaira Score of 82/100, while QpiAI sits at 35/100. That 47-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

QpiAI was founded by Nagendra Nagaraja in 2019. Fireworks AI was founded by Lin Qiao in 2022. 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. QpiAI competes at the intersection of quantum computing and AI, a niche that remains largely experimental but is attracting increasing attention from enterprises exploring post-Moore's Law compute architectures. Its primary competitors include IonQ, Rigetti, and D-Wave in the quantum space, though QpiAI differentiates by focusing specifically on AI workload optimization rather than general-purpose quantum computing. Based in Bengaluru, the company is one of the few Indian startups operating in quantum-AI infrastructure, giving it a first-mover position in a domestic market where government investment in quantum research is accelerating through the National Quantum Mission. Fireworks AI: Fireworks AI, founded in 2022, develops infrastructure software for deploying and running large language models (LLMs) in production environments. The company provides a platform that enables organizations to deploy, fine-tune, and optimize open-source and proprietary models with reduced latency and cost. Fireworks AI's core offering focuses on inference acceleration, allowing enterprises to serve LLMs efficiently at scale through specialized hardware optimization and software acceleration techniques. The platform supports multiple model architectures and enables customization for specific use cases, including content generation, summarization, and code completion. The company has secured $327M in total funding at a $4.0B valuation as of Series C, reflecting significant investor confidence in AI infrastructure. Fireworks AI operates in a competitive segment alongside providers like Together AI, Modal, and cloud-based solutions from major vendors. The company targets enterprises seeking to reduce operational costs associated with LLM deployment while maintaining performance control and data privacy. Its position reflects broader market trends toward distributed AI infrastructure and the need for cost-efficient model serving solutions. The infrastructure layer Fireworks occupies addresses a critical gap between model development and production deployment, supporting the growing adoption of generative AI across industries. Fireworks AI specializes in inference optimization infrastructure, enabling cost-effective production deployment of large language models for enterprise customers.

QpiAI got there first, launching in 2019 — that's 3 years of extra runway. Fireworks AI didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

QpiAI has about 10-50 employees; Fireworks AI has about 150. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both QpiAI and Fireworks AI compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.