Tomat AI

• Load large CSV or Excel files and explore them visually
• Perform drag-and-drop filters, groupings, pivots and stacks without formulas
• Add AI enrichment to dataset rows such as sentiment, translation or metadata extraction
• Merge or stack tables intelligently even if column orders differ
• Generate instant data quality insights, unique value distributions and statistics
• Create charts and build export-ready reports from within your workflow
• Run AI-based web lookup or enrichment on each row of the dataset
• Works locally on your machine (Windows or macOS) so data does not need to leave your device
• Connect to data sources like PostgreSQL or Snowflake for larger scale workflows
• Pay-as-you-go AI credits model for large scale enrichment or transformation workflows

Tomat.AI is a powerful yet user-friendly no-code data transformation and enrichment platform designed for analysts, spreadsheet users and teams who need to handle large datasets without writing code. The platform allows users to load CSV or Excel files of any size and explore them visually with filters, groups, pivots and stacked tables, all through a clean drag-and-drop interface. Users can add AI-powered steps to enrich each row with metadata, translations, sentiment analysis or web looked-up values. Because it processes data locally on the user’s machine, Tomat.AI offers strong data privacy and avoids lengthy uploads or cloud-based bottlenecks.

The workflow builder includes prebuilt visual transforms and allows users to stack or merge tables even when column orders or structures differ, simplifying what used to require complex scripting or formula chains. Analysts can quickly generate charts and reports directly within the workflow, export the results to PDF or share insights with stakeholders. For more advanced use cases the platform supports connections to PostgreSQL and Snowflake, enabling database workflows rather than purely file-based ones.

Tomat.AI uses a token-based model for its AI enrichment. Users begin with a free trial of credits, then move to a paid plan which allows them to purchase additional AI credits and scale up row-level enrichment or automation. This makes the tool suitable for individuals as well as teams that need scalable data-centric AI workflows. Whether you are cleaning messy data from multiple sources, conducting web lookups at scale or building visual reports from spreadsheet-native points of entry, Tomat.AI bridges the gap between manual spreadsheet labor and full-scale data engineering.