Refuel AI

Refuel AI is an enterprise-grade platform for creating, labeling, and enriching machine learning datasets using large language models. It is designed to help data and ML teams rapidly generate high-quality annotations for unstructured data such as text and documents, achieving accuracy that can exceed traditional human-only labeling workflows. The platform streamlines data preparation so teams can focus on model development and deployment rather than manual labeling tasks.

Refuel AI supports text classification, entity extraction, document parsing, and complex multi-step labeling workflows in a single environment. Users can define custom schemas, taxonomies, and labeling rules, then leverage LLMs to apply these consistently at scale while maintaining auditability and version control. The platform includes quality controls such as human-in-the-loop review, consensus mechanisms, and performance monitoring to ensure labels meet enterprise standards. Integration capabilities allow teams to connect existing data sources, export labeled data to ML pipelines, and iterate quickly as requirements evolve.