Tomat.AI
AI-powered data analysis made simple for everyone
What is Tomat.AI? Complete Overview
Tomat.AI is an innovative desktop application that brings AI-powered data analysis to professionals and casual users alike. Unlike cloud-based alternatives, Tomat.AI operates entirely on your local machine, ensuring complete data privacy while delivering powerful AI capabilities. The tool specializes in processing CSV and Excel files, with additional support for PostgreSQL and Snowflake connectors (450+ data sources available upon request). With its intuitive interface, Tomat.AI allows users with Excel-level skills to perform complex data transformations, cleaning, enrichment, and analysis using natural language prompts. The software integrates with OpenAI's API but maintains strict data privacy by only sending specified columns for processing. Tomat.AI is particularly valuable for business analysts, researchers, and data professionals who need to quickly transform and analyze datasets without requiring programming knowledge or compromising sensitive information.
Tomat.AI Interface & Screenshots
Tomat.AI Official screenshot of the tool interface
What Can Tomat.AI Do? Key Features
Local Data Processing
Tomat.AI operates entirely on your local machine, ensuring your sensitive data never leaves your computer. This provides unparalleled security compared to cloud-based alternatives, making it ideal for handling confidential business data, personal information, or proprietary research.
Natural Language Data Transformation
Simply describe what you want to do with your data in plain English. Whether you need to clean messy data, extract specific information, summarize content, or perform complex calculations, Tomat.AI understands your instructions and applies them across your entire dataset.
Flexible Data Sources
While specializing in CSV and Excel files, Tomat.AI also supports direct connections to PostgreSQL and Snowflake databases. Users can request access to over 450 additional data sources, making it adaptable to various professional environments and data ecosystems.
Credit-Based AI Processing
Tomat.AI uses a transparent credit system where each credit equals approximately 1 token (3-4 English characters). This system allows users to precisely control and predict their AI usage costs, with bulk credit purchases offering significant discounts.
Web Research Capabilities
For tasks requiring external data, Tomat.AI can perform web searches (when enabled) to enrich your datasets. This feature is particularly useful for verification, competitive analysis, or gathering supplementary information to enhance your existing data.
Best Tomat.AI Use Cases & Applications
Data Cleaning for Small Businesses
A small e-commerce business receives messy product data from multiple suppliers in various formats. Using Tomat.AI, they can quickly standardize product names, clean up pricing information, and remove duplicates across thousands of rows - tasks that would normally require hours of manual work or expensive developer time.
Academic Research Data Processing
A university researcher needs to extract specific information from hundreds of PDF reports and analyze sentiment across survey responses. Tomat.AI's natural language processing capabilities allow them to automate these tasks while keeping sensitive research data secure on their local machine.
Sales Data Enrichment
A sales team has a basic customer list but needs to enrich it with company information, industry classifications, and executive contacts. Using Tomat.AI's web research capabilities, they can automate this enrichment process while maintaining control over what data gets shared externally.
How to Use Tomat.AI: Step-by-Step Guide
Download and install Tomat.AI on your Windows or macOS machine. The installation process is straightforward and similar to installing any standard desktop application.
Create a new workflow and add a 'Source' node to load your data file (CSV, Excel) or connect to your database. The interface is designed to be intuitive for Excel users, with a visual workflow builder.
Add an 'AI Column' or 'AI Table' step depending on your needs. For column-specific operations (like cleaning or enriching single columns), use 'AI Column'. For dataset-wide transformations, use 'AI Table'.
Enter your natural language prompt describing exactly what you want the AI to do with your data. Be specific about which columns to use and what transformation to apply. Tomat.AI will only process the columns you explicitly mention.
Run the workflow and review the results. Tomat.AI processes each row individually and applies your specified transformations. You can then export the processed data in your preferred format.
Tomat.AI Pros and Cons: Honest Review
Pros
Considerations
Is Tomat.AI Worth It? FAQ & Reviews
Tomat.AI is compatible with both Windows and macOS operating systems, covering the majority of personal and business computing environments.
Each AI credit equals 1 token, which is approximately 3-4 English characters. Credit usage depends on your input data size and the length of AI responses. Simple extraction tasks might use 100,000-200,000 credits, while complex analyses could require 500,000-1,000,000 credits.
Yes, Tomat.AI processes all data locally on your machine. When using AI features, only the specific columns you mention in your prompt are sent to OpenAI's API - other data remains completely private.
If you're comfortable working with Excel, you have all the skills needed to use Tomat.AI effectively. The interface is designed for non-technical users, with natural language processing replacing complex coding requirements.
Yes, in addition to CSV and Excel files, Tomat.AI supports PostgreSQL and Snowflake connectors. For access to over 450 additional data sources, you can contact the Tomat.AI team.