Fireworks AI vs Scale AI

By valuation, Scale AI is the larger company at $29B versus $4B — a 7.3x difference. Size can also be measured by team: Fireworks AI employs 150 people while Scale AI has 1,000 employees.

Scale AI has raised more in total funding at $15.9B, compared to Fireworks AI's $327M — a gap of $15.6B. Combined, the two companies have completed 7 known funding rounds.

Scale AI leads with an Awaira Score of 84/100, while Fireworks AI sits at 82/100. That 2-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Fireworks AI was founded by Lin Qiao in 2022. Scale AI was founded by Alexandr Wang in 2016. Visit each company's profile on Awaira for a full founder biography.

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. Scale AI: Scale AI is a data infrastructure company founded in 2016 that specializes in data labeling and annotation services for artificial intelligence model development. The company provides managed workforce solutions and software platforms that enable organizations to prepare high-quality training data at scale. Scale AI's core offerings include data labeling, model evaluation, data generation, and managed workforce services across computer vision, natural language processing, and other AI domains. The company serves enterprise customers across automotive, defense, technology, and other sectors requiring large-scale data annotation for machine learning applications. Notable use cases include autonomous vehicle development, where precise labeled data is critical for training perception systems. Scale AI operates a hybrid model combining software automation with human-in-the-loop annotation capabilities. With a Series F valuation of $13.8 billion and total funding of $1.6 billion, Scale AI represents one of the highest-valued data infrastructure companies in the AI stack. The company competes in the data labeling market alongside firms like Labelbox, Snorkel AI, and various in-house solutions deployed by large technology companies. Its growth trajectory reflects increasing enterprise demand for quality training data as AI model development accelerates. Scale AI's positioning emphasizes enterprise-grade reliability, security, and quality assurance in data preparation workflows. Scale AI has achieved unicorn valuation by solving the critical bottleneck of high-quality labeled data production at enterprise scale.

Scale AI got there first, launching in 2016 — that's 6 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.

Fireworks AI has about 150 employees; Scale AI has about 1,000. 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 Fireworks AI and Scale AI compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.