tableArth.ai is an embeddable AI analytics layer designed for B2B software products. Its primary function is to transform standard data tables into interactive interfaces where users can query information using natural language. By integrating directly into existing software, the tool allows end users to ask questions in plain English and receive immediate answers in the form of raw numbers, data visualizations, or comprehensive dashboards. The platform is built to reduce the need for manual data exports, support tickets, and external spreadsheet analysis by providing on-demand insights within the original application environment. The core technology of tableArth.ai utilizes a schema-aware engine that automatically generates and executes SQL queries based on user prompts. It includes an automated visualization system that selects appropriate chart types, such as bar, line, pie, scatter, or funnel charts, based on the resulting data. Key features include a streaming response system for real-time delivery, an auto-generated list of suggested analytical questions for every dataset, and white-label capabilities that allow the interface to match the host product's branding. The tool supports multiple integration methods, including a drop-in UI widget, a REST API for custom implementations, and a Chrome extension for overlaying analytics on third-party web applications. From a technical perspective, tableArth.ai is designed for compatibility with various web frameworks including React, Vue, Angular, and standard HTML. Implementation typically involves adding a script tag and pointing a single element at a data table, requiring no backend migration or data warehouse setup. The system can process data from multiple sources such as live APIs, CSV uploads, and existing product tables. It also includes privacy controls and session management to ensure data is handled according to per-customer or per-user requirements. This workflow is intended to replace traditional manual reporting cycles with an automated, inline analytical experience.