Fireworks Secures $1.5 Billion in Funding

Fireworks, the frontier platform for training and inference on open-weight models at scale, led by Lin Qiao, Benny Chen, Chenyu Zhao, Dmytro Dzhulgakov, Dmytro Ivchenko, James Reed, and Pawel Garbacki, has announced a $1.505 billion Series D at a $17.5 billion valuation, led by Atreides Management, Index Ventures, and TCV, with participation from Evantic Capital, Lightspeed Venture Partners, Nvidia, 20VC, Bessemer Venture Partners, Menlo Ventures, and others.

This milestone comes as Fireworks surpasses $1 billion in annualized revenue run rate and serves more than 40 trillion tokens every day. More than 95% of those tokens come from models specialized on customers' proprietary data and optimized for specific jobs.

The Era of Specialized Intelligence.

Proprietary knowledge, including customer relationships, workflows, data, and domain expertise, is becoming a key competitive advantage in the AI era. Fireworks enables organizations to transform general-purpose models into specialized AI systems trained on their own data and deploy them efficiently using a high-performance inference platform. As open models continue to approach frontier-level capabilities, businesses can increasingly own, customize, and optimize the intelligence powering their products instead of relying solely on proprietary models.

Building What's Next.

Organizations across industries, from software development to legal technology, are using Fireworks to build specialized AI tailored to their domains. The new funding will support the expansion of compute infrastructure, engineering capabilities, and the platform’s ability to help businesses develop, customize, and deploy AI that powers their products and operations.