Fireworks, a San Mateo-based platform that lets enterprises train and serve custom AI models, closed a $1.505 billion Series D at a $17.5 billion valuation on July 17.
The round was co-led by Atreides Management, Index Ventures, and TCV, with NVIDIA and Bessemer Venture Partners among the additional backers
Fireworks plans to use the capital to grow its engineering team and expand global compute capacity for rising enterprise demand
The company’s platform already supports over 200 models across text, image, and multimodal formats
What Fireworks actually does
Fireworks positions itself as a specialized intelligence platform, giving enterprises the infrastructure to customize, serve, and scale open AI models using their own proprietary data and workflows rather than relying on a single closed model provider.
Enterprise clients already on the platform include Uber, Shopify, Doximity, and Revolut, spanning ride-hailing, e-commerce, healthcare, and fintech.
Where the money is going
Beyond hiring engineers, Fireworks says it wants to deepen strategic partnerships with cloud providers, specifically naming Microsoft and NVIDIA. That signals the company is betting on tighter integration with major compute suppliers rather than building out its own infrastructure from scratch.
Why the size matters
At $1.505 billion, this is one of the largest Series D rounds in AI infrastructure this year, and the $17.5 billion valuation puts Fireworks in the same tier as other well-funded model-serving platforms competing for enterprise AI workloads.
The investor list, which includes NVIDIA directly alongside major growth funds like Lightspeed and Insight Partners, points to continued heavy capital flowing into the layer between raw AI models and the businesses that deploy them.
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