Formula Bot

Overview

Formula Bot is an AI-powered data analytics platform designed to make data analysis accessible to everyone. Trusted by more than 1 million users, it allows individuals and teams to analyze spreadsheets, databases, and documents using natural language instead of complex code or formulas. The platform answers questions, generates visualizations, and produces ready-to-use reports in seconds, significantly reducing the time required to extract insights from raw data. Whether you are working with a local Excel file or an enterprise data warehouse, Formula Bot acts as an intelligent analytics assistant that translates your business questions into actionable results.

At the core of Formula Bot is a sophisticated natural language processing engine that interprets user queries and converts them into a wide range of analytical outputs. Users can generate Excel formulas, create charts and dashboards, transform PDF files into structured Excel spreadsheets, clean and organize messy datasets, query relational databases, and perform sentiment analysis on text data. The platform also includes data enrichment and scheduled reporting capabilities, enabling automated, recurring workflows. For complex transformations, Formula Bot displays the calculations and code behind each operation, allowing analysts to verify and audit results rather than treating the AI as a black box.

The platform supports an extensive ecosystem of data sources, making it a central hub for modern data workflows. Files can be uploaded directly in Excel, CSV, TSV, or PDF formats, or users can connect live services including Google Analytics, Google Search Console, Google Ads, Tableau, Power BI, Airtable, Google Sheets, Google Drive, Dropbox, OneDrive, SharePoint, Google BigQuery, Snowflake, MySQL, PostgreSQL, Supabase, and Microsoft SQL Server. This breadth of connectivity means that marketing analysts, data scientists, and business users can all work with the tools and platforms they already use, without migrating data into a separate system or writing custom connectors.

Security and transparency are embedded throughout the product. Each analysis session runs in a dedicated, isolated sandbox, and connection credentials are encrypted at rest. For database connections, row-level security can be enforced to restrict data access. Formula Bot explicitly states that it does not use customer content to train its own models, and it requests no-training settings from AI providers where available. This makes the platform suitable for teams handling sensitive business or customer data. With a free tier and paid subscription plans starting at zero cost and scaling upward, Formula Bot offers a practical pathway for organizations looking to accelerate their data analytics workflows.

Core capabilities

AI Data Analysis

Uses advanced language models to interpret natural language requests and deliver insights, trends, and summaries from structured data.

Chart Generation

Automatically creates charts, graphs, and visual dashboards from uploaded files or connected data sources.

Excel Formula Generation

Generates spreadsheet formulas from plain-English descriptions, eliminating manual formula writing.

PDF to Excel Conversion

Extracts tables and structured data from PDF documents and converts them into editable Excel spreadsheets.

Database Querying

Allows natural language querying of SQL databases such as PostgreSQL, MySQL, Snowflake, and BigQuery.

Sentiment Analysis

Analyzes text data to detect positive, neutral, or negative sentiment for customer feedback and surveys.

Data Enrichment

Enhances datasets with derived fields and additional context to improve downstream analysis and decision-making.

Scheduled Reports

Automates recurring report generation and delivers updated insights to stakeholders on a regular cadence.

Use cases

Analyzing sales and revenue spreadsheets to uncover trends and anomalies

Building executive dashboards from connected data sources

Cleaning and organizing messy datasets for downstream analysis

Converting PDF tables and documents into structured Excel spreadsheets

Querying SQL databases using natural language instead of manual SQL

Generating Excel and Google Sheets formulas from plain-English descriptions

Performing sentiment analysis on customer reviews and survey responses