Company profile
Fireworks AI
Live profile
Use state-of-the-art, open-source LLMs and image models at blazing fast speed, or fine-tune and deploy your own at no additional cost with Fireworks AI!
51-200
Series C ($250M)
Cloudflare, CookieYes +10
2.4/5 · 7 reviews
Software Company
Public pricing page
AI Classification
Fireworks AI provides high-throughput LLM and image model inference infrastructure plus fine-tuning and training services for enterprises building AI-powered applications. Founded by PyTorch creators, they process 40T+ tokens per day and count Cursor, Vercel, and Gum Loop among their customers.
Deep Intelligence
Account Scoring
- Public pricing — predictable revenue
- Series C — mature / stable
Tech Stack
Analytics
CDN
CMS
Framework
Hosting
Marketing
Privacy
Social
Similar Companies
Fireworks AI is one of 2,671 B2B companies in the Kustiq directory.
Fireworks AI sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: Linear, Overclockers, Alchemy, and The Biggest Video Game Database on RAWG.
Both sit in the 51-200 headcount band, and both are at Series C. See Fireworks AI vs Linear side by side.
Both sit in the 51-200 headcount band. See Fireworks AI vs Overclockers side by side.
Both sit in the 51-200 headcount band, and both are at Series C. See Fireworks AI vs Alchemy side by side.
How Fireworks AI compares with other AI/ML Platform companies
Fireworks AI is one of 114 AI/ML Platform companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
Fireworks AI sits in the 51-200 headcount band. 46% of the 93 segment peers with a known team size are smaller. 29% of those peers share the same band.
The most common tech detections across the 32 peers with a visible stack are Next.js (47%), Vercel (44%), and Google Analytics (38%). Fireworks AI runs Next.js, Vercel, and Google Analytics.
Among the 58 segment companies with disclosed funding, Growth is the most common stage (36%). Fireworks AI is at Series C.
The median founding year across 32 peers with a known founding date is 2019.
Toronto is the most common HQ city in this segment, home to 11% of the 18 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 5 rendered pages of fireworks.ai, search coverage across the live web, and a review parse of 7 ratings on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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