Companies that use Fireworks AI

Source: Analysis of Linkedin bios of 427 companies that use Fireworks AI

I noticed that Fireworks AI's customers are predominantly building AI-powered products and platforms themselves. These aren't companies just using AI, they're selling it. I see AI labs like Anysphere (Cursor) and Reflection, developer platforms like Vercel and Airtable, conversational AI companies like Gupshup and Skit.ai, and numerous vertical AI solutions for legal (Harvey), healthcare (Heidi), finance (Hebbia, Rogo), and customer service. Many are embedding generative AI directly into their core products or building autonomous agents.

These companies span the full spectrum but lean heavily toward high-growth ventures. I see substantial Series B through Series F rounds (Workato's $200M, Cribl's $200M, Harvey's $59M recently), public companies like MongoDB and UiPath, and well-funded unicorns like Anysphere ($900M Series C). However, I also notice emerging players with 50-200 employees still in early funding stages. The common thread is ambition at scale, whether they're already serving Fortune 500 clients or racing to get there.

Source: Analysis of tech stacks from 427 companies that use Fireworks AI

I noticed that Fireworks AI customers are predominantly fast-moving tech companies, likely startups and scale-ups in the AI and developer tools space. The presence of Dock (contract management), Ashby (recruiting), and Incident.io (incident management) together suggests these are high-growth companies that prioritize operational efficiency and are rapidly expanding their teams. They're building serious engineering organizations that need sophisticated tooling from the start.

The pairing with Weights and Biases is particularly telling. This MLops platform means Fireworks AI attracts companies doing real machine learning work, not just API integration. They're training models, tracking experiments, and likely have dedicated ML teams. Pylon appearing so frequently makes sense too, it's a customer support tool built for technical products, which suggests these companies are selling to other developers or technical buyers. The combination of Incident.io and Pylon reveals companies running 24/7 services where uptime matters and customer communication is critical.

The full stack points to product-led growth companies in earlier stages, probably Series A through C. They're engineering-heavy organizations that invest in developer experience and operational maturity early. The Ashby correlation shows they're hiring aggressively and care about recruitment infrastructure. These aren't enterprise sales-led companies with big Salesforce deployments. They're building technical products for technical audiences, using modern tools that emphasize speed and developer productivity.