Together AI, the leading AI Acceleration Cloud, has acquired Refuel.ai, a specialist in transforming unstructured data into structured datasets for AI applications, to accelerate the development of production-grade AI applications. The acquisition was announced on May 15, 2025, in San Francisco.
Refuel.ai, founded in 2021 by Stanford alumni Rishabh Bhargava and Nihit Desai, created Refuel-LLM, a family of models for data tasks, and Refuel Cloud, a platform for developing complex data workflows. The company’s technology has powered various use cases, including product catalog cleaning and financial document structuring, achieving 50% fewer errors than current state-of-the-art models.
“Joining Together AI accelerates our mission to solve the data bottleneck that every AI team faces today,” said Refuel.ai CEO Rishabh Bhargava. “By bringing Refuel.ai’s specialized models and orchestration platform into Together’s AI Cloud, we can deliver an unmatched combination of speed, data quality, and scalability—empowering developers to rapidly take more sophisticated AI applications from concept to production.”
The acquisition will enhance Together AI’s offerings by incorporating Refuel-LLM for serverless inference and LoRA fine-tuning. Customers building complex AI agents will benefit from Refuel.ai’s tools throughout the lifecycle of their AI applications, from data preparation to deployment and iteration. Starting today, Refuel LLM-2 is available on Together AI’s platform, supporting serverless inference and LoRA fine-tuning for high-accuracy data workflows.
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“At Together AI, we provide a platform that empowers developers and businesses to manage the entire generative AI lifecycle with unmatched performance, control, and cost-efficiency,” said Together AI CEO Vipul Ved Prakash. “As developers and enterprises build increasingly complex applications and agents, leveraging their data effectively and driving higher quality will become a core capability for our platform.”
Together AI currently supports over 200 top open-source and custom models across modalities and serves more than 600,000 AI developers and organizations such as Salesforce, Zoom, and The Washington Post. The company’s platform delivers unparalleled performance, control, and cost-efficiency for generative AI models.
