Rankings/Fireworks AI
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Fireworks AI

NativePrivateUpdated November 3, 2026

Inference infrastructure/platform for LLMs at enterprise scale

CEO
Lin Qiao
Founded
2022
HQ
Redwood City, United States
Total Funding
$1.8B
Employees
201-500
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AI Infrastructure
65.7Bluescore
Momentum—
Market MapLocked
Rank change (7d)-7

Products & Offerings

Fireworks Inference Cloud

Serverless and dedicated GPU deployments with an optimized engine for serving open LLM, vision, audio and embedding models at production scale.

PlatformEnterpriseFlagship

Fireworks Training API and Fireworks Lab

Managed serverless and dedicated training for SFT, DPO and reinforcement learning on open models, generally available since August 2026.

Developer ToolDeveloperHigh Growth2026

Fireworks Nexus

Drop-in routing and cost-control layer that sends routine work from Claude Code, Codex and similar tools to open models, with budgets and usage visibility.

PlatformEnterprisePreview2026

Fireworks on Microsoft Foundry

Fireworks' inference engine built into Azure's Microsoft Foundry with enterprise SLAs and no-setup onboarding, launched in public preview in March 2026.

EnterpriseEnterprisePreview2026

Ember-1

Research-preview reasoning model built on Kimi K3 for coding and agentic work, using roughly 40% fewer reasoning tokens with a 1M-token context.

ModelDeveloperPreview2026

Executive Summary

What they do

  • Runs a fast inference cloud for open-weight LLMs and multimodal models
  • Offers fine-tuning, preference tuning and reinforcement learning on open models via the Training API
  • Routes coding-agent traffic between open and frontier models to cut costs

Why it matters

  • Over $1B in annualized revenue and 40T+ tokens served daily
  • Used in production by Cursor, Uber, Shopify, Notion, DoorDash and GitLab
  • Same-day access to new open models such as Kimi K3 and DeepSeek

Best fit

  • Product teams moving high-volume workloads off costly frontier model APIs
  • Engineering organizations fine-tuning open models into their own specialized models
  • Azure customers wanting managed open-model inference through Microsoft Foundry

Watch-outs

  • Credential security incident disclosed October 2026 is still under active monitoring
  • Value depends on open models keeping pace with closed frontier models
  • Pricing and plan terms change frequently, including recent serverless plan revisions

Latest News

Mugglehead Investment Magazine · 8 days ago

Positive

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Analyst VerdictShortlist

Fireworks AI is one of the clear leaders in managed inference for open models. It has $1B+ ARR, demanding production customers, Microsoft Foundry distribution and a $1.5B Series D, so most buyers moving to open or custom models should shortlist it alongside Together AI and Baseten. Before signing, get a full write-up of the October 2026 credential incident and its fixes, and benchmark latency, cost and uptime on your own workloads.

Signal Provenance

Latest observation date and source for each signal category

Signal CategoryLast UpdatedSource
Funding Signals
Last funding round, Funding stage
Oct 31, 2026Montclare research agents
Hiring Velocity
Headcount, Headcount growth
Nov 3, 2026Montclare research agents
Technical Output
Research papers, GitHub activity
Nov 3, 2026Montclare research agents
News Sentiment
News mentions, News sentiment
Nov 3, 2026Montclare research agents
Partnership Signals
Enterprise partnerships, Distribution partners
Nov 3, 2026Montclare research agents
Revenue Indicators
ARR estimate, Revenue growth
Nov 3, 2026Montclare research agents
Leadership Signals
CEO tenure, Founder-led
Nov 3, 2026Montclare research agents
Competitive Position
Category rank, Market share
Nov 3, 2026Montclare research agents

Why this Bluescore?

6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology

D1 · Business Model & Revenue (21%)
4.6
+9.6 of 21 pts · 60th pct
D2 · Product Depth (21%)
9.1
+19.2 of 21 pts · Top 1%
D3 · Data & Model Moat (19%)
5.9
+11.2 of 19 pts · Top 23%
D4 · Talent & Research (16%)
8.3
+13.3 of 16 pts · Top 7%
D5 · Customer Adoption (13%)
5.1
+6.6 of 13 pts · 28th pct
D6 · Investment Momentum (10%)
5.8
+5.8 of 10 pts · 73th pct

Risks

October 2026 incident exposed evaluation-job environment variables in some customer accounts
High
Short outages and one multi-hour degradation recorded in August 2026
Medium
Faces strong competition from Together AI, Baseten and hyperscaler model platforms
Medium
Cost advantage could shrink if frontier API prices fall sharply
Medium
Products such as Nexus and Ember-1 are new and still in preview
Low
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