Formula Bot - 2026 Pricing, Features, Reviews & Alternatives

Formula Bot is an AI-based data analysis solution that transforms raw data into actionable insights through a conversational interface. It began as an MS Excel formula generator and has since evolved into a full featured data analytics solution capable of performing quantitative and qualitative analysis across multiple sources. Formula Bot serves diverse professional roles such as marketers, data analysts and business founders within organizations ranging from small businesses to large enterprises and government entities.

The software offers a suite of analytical tools for various data manipulation tasks. Users can upload, connect and merge data from sources including MS Excel, Google Sheets, Google Analytics, Google Trends, Google Search Console, Microsoft SQL Server, MySQL and Postgres databases. Core functionality enables interaction with data through natural language queries that instantly produce charts, tables, insights and reports. Specialized capabilities include correlation analysis for revealing relationships within datasets, exploratory analysis to uncover patterns and anomalies, KPI tracking for performance measurement, web and media analysis, sentiment analysis for text evaluation and text extraction to process unstructured data. Security measures encompass encrypted data storage in isolated sandbox environments with dedicated RAM and CPU assignments for each chat session to preserve privacy and maintain performance. Additional features comprise templated analysis using pre made playbooks, real-time data synchronization and scheduled email reports as well as subscription service levels that offer varying processing power and file upload allowances.

Formula Bot can be integrated with productivity tools via dedicated add ons for MS Excel and Google Sheets to generate and explain formulas directly within spreadsheet cells. An application programming interface supports connections to diverse data sources, allowing analysis across the entire data ecosystem. The system operates entirely in the cloud to provide sufficient computational resources for complex analyses. Machine learning functions execute on isolated cloud infrastructure that enables scalable resource allocation with support for up to eight CPU cores and four gigabytes of RAM for handling large datasets and advanced analytical tasks.