Select Star is an automated data catalog and discovery platform aimed at streamlining data governance processes. It provides organizations with a reliable single source of truth for their data, automatically analyzing and documenting data lineage. With its intuitive web interface, users can quickly explore and categorize their data assets, ensuring that all data consumers have access to the knowledge base necessary for effective decision-making. The platform promotes data democratization by making it easier for all users, regardless of technical expertise, to find and utilizes the data they need.

DataAgent leverages advanced AI agents built on top of LLMs to explore datasets, generate insights, and assemble machine learning pipelines automatically. Users point DataAgent at a CSV, SQL table, or Pandas DataFrame and pose questions in natural language. The agent interprets queries, executes analysis code, visualizes results, and even writes modular Python scripts for ETL and modeling tasks. It streamlines the entire data science workflow by reducing boilerplate coding and accelerating experimentation.