d-Matrix vs Fireworks AI

By valuation, Fireworks AI is the larger company at $4B versus $2B — a 2x difference. Size can also be measured by team: d-Matrix employs 150 people while Fireworks AI has 150 employees.

d-Matrix has raised more in total funding at $450M, compared to Fireworks AI's $327M — a gap of $123M. Combined, the two companies have completed 5 known funding rounds.

Fireworks AI leads with an Awaira Score of 82/100, while d-Matrix sits at 68/100. That 14-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

d-Matrix was founded by Sid Sheth in 2019. Fireworks AI was founded by Lin Qiao in 2022. Visit each company's profile on Awaira for a full founder biography.

d-Matrix: d-Matrix is an AI infrastructure company founded in 2019 that develops hardware and software solutions optimized for generative AI and large language model inference. The company designs specialized processors and system architectures to improve the efficiency and cost-effectiveness of deploying AI models at scale. d-Matrix's core technology focuses on reducing latency and power consumption in AI workloads, addressing key bottlenecks in data center operations. The company has raised $450 million across funding rounds, achieving a $2.0 billion valuation as of its Series C stage. d-Matrix competes in the competitive AI infrastructure market alongside companies developing custom silicon and inference acceleration platforms. Its approach targets enterprises and cloud providers requiring optimized inference capabilities for large-scale AI deployments. The company operates within the growing segment of AI infrastructure providers that emerged to support the infrastructure demands of modern generative AI applications. d-Matrix's positioning emphasizes efficiency gains and operational cost reduction compared to standard computing infrastructure. The company addresses a critical market need as organizations seek to deploy AI models economically while maintaining performance requirements. Its technology appeals to data center operators and enterprises managing substantial inference workloads. d-Matrix represents the category of specialized hardware companies built to support the computational demands of contemporary AI systems. The company's trajectory reflects broader industry expansion in AI infrastructure optimization and deployment technologies. d-Matrix specializes in inference optimization hardware specifically designed to reduce the computational and energy costs of deploying large language models at scale. 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.

d-Matrix 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.

Both d-Matrix and Fireworks AI report about 150 employees. Team size is a rough proxy for scale, but lean AI companies routinely punch above their headcount.

Yes — they're direct rivals. Both d-Matrix 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.