AI inference platform

What is Fireworks AI?

Fireworks AI provides fast inference, fine-tuning, and deployment for open and custom models.

Category
AI inference platform
Headquarters
Redwood City, CA
Founded
2022
Employees
Reported ~115
Total funding
Reported $327M+
Valuation
Reported $4B

What is Fireworks AI?

Fireworks AI is a ai inference platform headquartered in Redwood City, CA. Fireworks AI provides fast inference, fine-tuning, and deployment for open and custom models.

Fireworks AI operates in ai inference platform and is best understood by its product surface: Serverless inference, Dedicated deployments, Fine-tuning, Model optimization, Compound AI systems. Customers include AI application companies and enterprises seeking optimized open-model inference. WSJ reported about $280M ARR around the 2025 Series C.

The company was founded in 2022, is headquartered in Redwood City, CA, and has reported ~115 employees according to public reporting or company-visible signals. Its market position is shaped by the acceleration of AI infrastructure and application spend, but most private-company financials remain reported estimates rather than audited disclosures.

For buyers and sellers, Fireworks AI is a useful account because the company sits close to production AI budgets. The relevant buying centers are usually engineering, research, infrastructure, product, security, and enterprise operations rather than a single generic AI owner.

What does Fireworks AI offer?

Fireworks AI's public product surface includes Serverless inference, Dedicated deployments, Fine-tuning, Model optimization and related enterprise capabilities.

  • Serverless inference· Product / capability
  • Dedicated deployments· Product / capability
  • Fine-tuning· Product / capability
  • Model optimization· Product / capability
  • Compound AI systems· Product / capability

How does Fireworks AI make money?

Fireworks AI monetizes through a mix of self-service usage, subscriptions, infrastructure capacity, licensing, and enterprise contracts depending on the product line.

Fireworks sells usage-based inference and fine-tuning plus dedicated deployments and enterprise contracts.

Growth is driven by production AI usage: more prompts, model calls, GPU hours, private deployments, seats, storage, or managed workflows depending on the product. Where exact pricing is not published, the profile treats enterprise terms as contract-priced rather than inventing seat prices.

The buyer motion is therefore both developer-led and enterprise-led. Individual builders may start with a free tier, open-source project, or usage-based API, while larger accounts typically involve procurement, security review, data-governance review, and committed capacity or platform agreements.

Who leads Fireworks AI?

Fireworks AI's publicly visible leadership includes Lin Qiao.

  • Lin QiaoCo-founder & CEOPublic role as of June 2026Former Meta engineering leader and PyTorch contributor.

How do you contact Fireworks AI's leadership?

No verified public executive email pattern was confirmed for Fireworks AI; use the company's official contact, sales, support, or press paths rather than guessed personal emails.

Email formatNo verified public executive email format; use official contact channels.

How much funding has Fireworks AI raised?

Fireworks AI has reported $327m+, with valuation/status currently described as Reported $4B.

Fireworks AI's disclosed funding history is: 2023: Seed / Series A — Early rounds backed by Benchmark and others. 2024: Series B — $52M reported round. Oct 2025: Series C — $250M led by Lightspeed, Index and Evantic at $4B valuation.

Because several AI companies use strategic partnerships, cloud credits, debt, project finance, or reported-but-not-yet-filed private rounds, this profile separates disclosed funding from directional reports. The valuation field is reported as Reported $4B; it should be rechecked before financial decisions.

The seller signal is budget maturity. Companies with late-stage or infrastructure-scale financing usually have formal procurement and security processes, while earlier labs and open-source companies may centralize decisions with founders and technical platform leaders.

How did Fireworks AI get here?

Fireworks AI's timeline runs from its 2022 founding to its current ai inference platform position.

  1. 2022FoundedFormer Meta/PyTorch engineers start Fireworks.
  2. 2023Inference platformThe company launches managed model-serving products.
  3. 2024Series BFireworks raises to expand infrastructure.
  4. 2025Series CThe company raises $250M at $4B.
  5. 2025ARR reportWSJ reports substantial ARR growth.
  6. 2026Inference market expansionFireworks competes as inference spend accelerates.

Who are Fireworks AI's competitors?

Fireworks AI competes with Together AI, Baseten, Replicate, Modal, Cerebras depending on the buyer's use case.

  • Together AITogether AI overlaps with Fireworks AI for buyers evaluating ai inference platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • BasetenBaseten overlaps with Fireworks AI for buyers evaluating ai inference platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • ReplicateReplicate overlaps with Fireworks AI for buyers evaluating ai inference platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • ModalModal overlaps with Fireworks AI for buyers evaluating ai inference platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.
  • CerebrasCerebras overlaps with Fireworks AI for buyers evaluating ai inference platform alternatives, but differs by product depth, deployment model, geography, or ecosystem.

Fireworks AI — frequently asked questions

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