Refuel is an enterprise platform that uses large language models (LLMs) to clean, structure, and transform data at scale. It enables users to describe data tasks in natural language, leverage purpose-built LLMs, and deploy workflows for both real-time streaming and batch processing. The platform automates prompt engineering, model evaluation, dynamic few-shot prompting, and hyper-parameter optimization to achieve high accuracy. It offers pre-built templates, simple feedback mechanisms, and team workflows to streamline data operations. Refuel provides enterprise-grade security with SOC 2 and GDPR compliance, and supports deployment in customer environments for data control. It includes native connectors to cloud storage and data warehouses. Use cases include entity resolution, transaction categorization, information extraction, content moderation, and data labeling for ML teams.
Key Benefits
- Automates prompt engineering and model optimization
- Sub-second latency and limitless scale
- Pre-built templates and simple feedback mechanisms
- Enterprise-grade security with SOC 2 and GDPR compliance