Tomat AI

Tomat AI is a desktop data analysis tool for cleaning, transforming, and analyzing CSV, Excel, and supported database data with visual workflows and AI steps. It runs on Windows and macOS and keeps files on the local machine by default.

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Overview

Tomat AI is a desktop data analysis tool that combines visual workflow building with AI-assisted data preparation. It is designed for people who work with CSV and Excel files, and it also supports PostgreSQL and Snowflake connectors, with access to additional data sources available on request.

The product’s main job is to help users clean, transform, enrich, summarize, and analyze data in a step-by-step interface. The site emphasizes local processing on Windows and macOS, reusable workflows, and AI steps that can handle tasks such as extraction, translation, sentiment analysis, and web research.

Core capabilities

Local data loading

Load CSV, Excel, and supported database sources into a desktop workflow before applying analysis steps.

Visual workflow editor

Build reusable pipelines with visual nodes and drag-and-drop steps instead of formulas or code.

Row-level AI steps

Apply AI to one row at a time with prompts for enrichment, extraction, cleanup, translation, summarization, and sentiment analysis.

Web research in workflows

Use web search inside the AI node when a workflow needs external research, with token usage tied to the selected model and search depth.

Built-in profiling and previews

Inspect data quality, unique values, distributions, and key statistics while building the workflow.

Reporting and export

Add charts, create reports, and export results as PDF from the workflow.

Practical use cases

Spreadsheet cleanup and restructuring
Clean large CSV or Excel files in a repeatable workflow instead of manually editing the same dataset in spreadsheets.
Row-by-row enrichment
Apply an AI prompt to every row to extract fields, translate text, or generate summaries from tabular data.
Bulk web research
Use web search in the AI node to research entities across many rows, then write the results back into the table.
Exploratory data checks
Review data quality, unique values, distributions, and other summary statistics before deciding on the next workflow step.
Reporting and handoff
Build reports with charts and export them as PDF when the workflow needs a shareable output.

Pros and Cons

Pros

Works on the local machine, which keeps files on the laptop by default.
Supports visual, step-by-step workflows that can be reused across datasets.
Combines traditional transforms with AI steps for enrichment, cleanup, and analysis.
Includes basic profiling, previews, charts, and report export in the workflow.
Offers a trial and a paid Solo plan for additional AI credits.

Cons

The site provides limited public detail on advanced integrations beyond CSV, Excel, PostgreSQL, and Snowflake.
The FAQ notes that AI steps process rows one at a time and do not use multi-row logic inside the AI node.

FAQ

How do I use Tomat AI?

Tomat AI works by downloading the desktop app, creating a workflow, and adding a Source node to load a CSV or Excel file. You can then add a Use AI or AI Column step and describe the enrichment, extraction, cleanup, or analysis you want.

What platforms does Tomat AI support?

The source says Tomat AI is compatible with Windows and macOS.

Can Tomat AI connect to sources beyond CSV and Excel?

Yes. Tomat AI supports PostgreSQL and Snowflake connectors, and the site says you can contact the team for access to 450+ additional data sources.

How does AI credit usage work?

Tomat AI starts with 30,000 trial credits. The pricing page says you can buy additional AI credits on the Solo plan, and the site notes that 1 credit equals 1 token.

Is Tomat AI local or cloud-based?

The site says Tomat AI keeps data on the local machine, so files never leave your laptop unless you choose to send data to the AI for the task you asked it to do.

Quick Facts

Category: Data analysis and workflow automation
Platform: Windows and macOS
Primary input types: CSV, Excel, PostgreSQL, Snowflake
Pricing shape: Free trial, Solo plan, Team plan, Enterprise contact flow
Notable workflow: Visual workflows with AI steps for cleanup, extraction, summarization, and sentiment analysis
Source domain: tomat.ai