Panda-ETL is designed to automate the extraction of data from any file, including contracts, invoices, images, websites, and reports. The platform provides a user-friendly experience by allowing users to drag and drop files, select specific automation tasks, and export data into spreadsheets. Additionally, it offers industry-specific automations with customizable modules to optimize workflows and generate detailed reports quickly. Whether you need regular extractions or detailed industry reports, Panda-ETL simplifies the process, ensuring valuable information is efficiently organized and easily accessible.

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.