List of Fireworks AI Customers
Redwood City, 94063, CA,
United States
Since 2010, our global team of researchers has been studying Fireworks AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Fireworks AI for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Fireworks AI for ML and Data Science Platforms include: Cursor, a United States based Professional Services organisation with 150 employees and revenues of $500.0 million, Hume, a United States based Communications organisation with 60 employees and revenues of $6.0 million, Quora, a United States based Communications organisation with 50 employees and revenues of $5.0 million, Fireworks AI, a United States based Professional Services organisation with 40 employees and revenues of $4.0 million and many others.
Contact us if you need a completed and verified list of companies using Fireworks AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Fireworks AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Cursor | Professional Services | 150 | $500M | United States | Fireworks AI | Fireworks AI | ML and Data Science Platforms | 2024 | n/a | In 2024, Cursor implemented Fireworks AI in ML and Data Science Platforms to power its Fast Apply and Cursor Tab code-editing features. The deployment placed custom models on Fireworks.ai and leveraged tooling documented in Fireworks' FireOptimizer customer stories. The implementation emphasized model-level optimizations and runtime orchestration to support low-latency code generation workflows. Adaptive speculative execution was used as part of the improvement, and Fireworks AI provided inference for Fast Apply and Cursor Tab, delivering code generation inference and latency-optimized serving consistent with ML and Data Science Platforms capabilities. Operational scope focused on developer productivity in the United States, integrating Fireworks AI directly into Cursor's code-editing toolchain rather than extending to unrelated business functions. Rollout and tuning were described in the FireOptimizer customer stories, showing iterative model adjustment and runtime configuration to achieve roughly a 2x reduction in generation latency, positioning Fireworks AI as the inference layer for Cursor's Fast Apply and Cursor Tab features. | |
|
|
Fireworks AI | Professional Services | 40 | $4M | United States | Fireworks AI | Fireworks AI | ML and Data Science Platforms | 2024 | n/a | In 2024, Fireworks AI implemented Fireworks AI as its ML and Data Science Platforms solution. The deployment targeted a 40 person professional services firm headquartered in the United States, centralizing model work for analytics, data science and client delivery teams across the organization. The implementation emphasized core ML and data science capabilities expected in ML and Data Science Platforms, including model experimentation and versioning, a model registry, pipeline orchestration for training and inference, and runtime model serving with monitoring hooks. Configuration work focused on reproducible training workflows, artifact management, and role based access controls to separate development, staging and production model lifecycles within the application. Operational governance structured product and consulting workflows to route model approval, version control and audit trails through Fireworks AI, aligning model review with client engagement teams and internal data stewards. Rollout was organized as a centralized platform for the analytics and consulting groups, with process changes to onboard models into standardized deployment pipelines and to enforce model governance and access policies. | |
|
|
Hume | Communications | 60 | $6M | United States | Fireworks AI | Fireworks AI | ML and Data Science Platforms | 2024 | n/a | In 2024, Hume implemented Fireworks AI in the ML and Data Science Platforms category to deploy custom models that power its Empathic Voice Interface EVI. The work targets conversational and voice AI use cases in the United States, with a deployment architecture oriented toward low-latency hosting and parallel tool execution to support real time voice interactions. Fireworks AI hosts Hume's custom models and orchestrates parallel tool use to sustain responsive voice workflows, enabling low-latency model invocation and concurrent model chains tied to EVI processing. The implementation emphasizes API-driven inference, with Fireworks AI called directly by Hume's voice product APIs to accept audio input, run model pipelines, and return responses within conversational sessions. Integration is centered on Hume's API-driven voice products, preserving an API contract for model calls and response handling across conversational flows. Fireworks AI is cited by the vendor as reducing latency for Hume's API-driven voice products, and custom model usage is explicitly incorporated into the deployment. | |
|
|
|
Communications | 50 | $5M | United States | Fireworks AI | Fireworks AI | ML and Data Science Platforms | 2024 | n/a |
|
|
Buyer Intent: Companies Evaluating Fireworks AI
- Shanghai Tanluzhe Outdoor Sporting Goods Co, a China based Retail organization with 95 Employees
- Appraisal Economics, a United States based Professional Services company with 40 Employees
- Smartnet Infotech & Services, a India based Professional Services organization with 80 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||