8/4/2026, 1:02:22 PM · enterprise-agents

Fireworks AI Raises $1.505B Series D at $17.5B Valuation as ARR Crosses $1 Billion

The enterprise AI inference platform surpassed $1 billion in annualized recurring revenue and nearly tripled daily token volume in the nine months since its previous funding round.

Fireworks AI, an enterprise AI inference platform headquartered in San Mateo, California, announced on July 16, 2026 that it has closed a $1.505 billion Series D funding round at a post-money valuation of $17.5 billion.

<cite index="7-7">The round was led by Atreides Management, Index Ventures, and TCV, with participation from existing investors Evantic, Lightspeed Venture Partners, and NVIDIA.</cite> <cite index="12-6">Additional investors include 20VC, Bessemer Venture Partners, Insight Partners, Lone Pine Capital, Menlo Ventures, Operator Collective, Ontario Teachers' Pension Plan, Original Capital, Prysm Capital, Quantum Capital, and TIME Ventures.</cite>

Revenue and Platform Growth

The raise coincides with a significant revenue milestone. <cite index="7-8">The funding comes as Fireworks surpasses $1 billion in annualized revenue run rate (ARR), up 5x year-over-year from its last funding round.</cite> <cite index="7-9">Over the same period, the company nearly tripled the daily volume of tokens served on its platform, from 15 trillion to more than 40 trillion.</cite>

<cite index="1-3">More than 95% of those tokens come from models specialized on customers' proprietary data and optimized for specific jobs.</cite> <cite index="13-7">Fireworks' platform enables enterprises to take open-source AI models and customize them on proprietary data, workflows, and use cases, then serve those specialized models in production at scale.</cite> <cite index="13-8">Fireworks offers more than 200 models across text, image, and multimodal formats, with support for major new open-source releases typically available within hours of launch.</cite>

Founding and Background

<cite index="2-11">Founded in 2022 by CEO Lin Qiao and six co-founders, all former Meta engineers, Fireworks offers infrastructure that lets enterprises fine-tune general-purpose Large Language Models (LLMs) on their own data and serve them in production.</cite> <cite index="6-6">Qiao previously led the PyTorch team at Meta; the Redwood City company runs an inference platform that helps businesses turn general-purpose models into "specialized intelligence" trained on their own data.</cite>

<cite index="14-10">Named customers include Cursor, Perplexity, Notion, Sourcegraph, Uber, DoorDash, Shopify, and Upwork, spanning code assistance, conversational AI, enterprise search, and agentic workflows.</cite> <cite index="9-4">Fireworks once received over half of its revenue from coding startup Cursor, but has diversified as more companies turn to open models, CEO Lin Qiao said.</cite>

Valuation Trajectory and Use of Proceeds

<cite index="12-8">The Series D came nine months after Fireworks' $250 million Series C in October 2025 at a $4 billion post-money valuation.</cite> <cite index="12-7">The deal priced above the roughly $15 billion valuation Fireworks had initially sought, once investor demand became clear.</cite>

<cite index="8-2">The new capital will be used to expand compute infrastructure, grow its engineering team, and deepen partnerships with cloud providers including Microsoft and NVIDIA.</cite> <cite index="2-12">The company's workforce stands at roughly 200, and CEO Qiao said she plans to triple that figure before the year is out.</cite>

Market Context

<cite index="2-8,2-9">Fireworks co-founder and CEO Lin Qiao said the company's cost advantage over equivalent closed models is a key driver of growth, noting: "Our cost compared with the equivalent-quality closed model is five to 10 times cheaper."</cite> <cite index="2-10">Rising costs for the latest AI models have made finance executives increasingly uneasy, prompting them to steer employees toward open-source options.</cite>

<cite index="16-6">NVIDIA's involvement is notable given Fireworks runs its inference stack largely on NVIDIA Graphics Processing Units (GPUs), mirroring the chipmaker's pattern of investing in its own largest customers.</cite> <cite index="3-11,3-12">Earlier in 2026, Fireworks partnered with Microsoft, giving Microsoft customers access to AI models on the Fireworks platform, powered by computing resources from more than 20 different infrastructure providers.</cite>

Cross-references

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