AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Fireworks AI Customers

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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
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Buyer Intent: Companies Evaluating Fireworks AI

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Fireworks AI. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Fireworks AI for ML and Data Science Platforms include:

  1. Shanghai Tanluzhe Outdoor Sporting Goods Co, a China based Retail organization with 95 Employees
  2. Appraisal Economics, a United States based Professional Services company with 40 Employees
  3. Smartnet Infotech & Services, a India based Professional Services organization with 80 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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