Tomat AI is a versatile no-code data analytics tool tailored for users who work extensively with CSV and Excel files. It offers a seamless, step-by-step interface that allows users to open and analyze large files without uploading them to the cloud. Key features include adding visual steps to filter, sort, or group data, merging multiple files, automating repetitive tasks, and exporting results or building reports. Additionally, Tomat AI leverages advanced AI capabilities to handle complex tasks such as data cleaning, extraction, summarization, and sentiment analysis.

Data Analysis Agent wraps an LLM-based agent around a Pandas DataFrame to let users perform exploratory data analysis via natural language. When a user asks a question, the agent generates the required Python code, executes it, and returns results or charts. If a query is ambiguous, it asks clarifying questions before proceeding. It supports filtering, grouping, aggregation, summary statistics, and visualization libraries like Matplotlib or Seaborn for immediate insights, streamlining the analytics workflow and reducing the need to write boilerplate code.