Dingo is a comprehensive data quality inspection assistant designed for developers and teams building AI applications. It offers rule-based, LLM-driven, and agent-based evaluations for both text and image data, including checks for duplicates, relevance, completeness, and the prevention of AI hallucinations. With support for various integrations (CLI, SDK, Gradio, MCP Server) and scalability from small to TB-scale datasets, Dingo streamlines the process of ensuring high-quality, reliable datasets and models.
Visit Dingo's official website for product details and getting started.