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tableArth.ai

Free
★ 12 • Updated Jul 15, 2026, 03:06 AM

tableArth.

Use Cases ▼
01

Adding natural language querying to product tables so customers can self-serve insights

02

Embedding an AI-powered analytics widget into SaaS dashboards for instant chart generation

03

Enabling ad-hoc data exploration without SQL or schema knowledge

04

Reducing support tickets by letting users get answers within the product

05

Overlaying AI analytics on internal portals and legacy apps via a Chrome extension

06

Creating dynamic dashboards from natural language prompts for client-facing analytics

What Problem It Solves ▼

Many software products contain tables and reports that hold critical answers, but users are forced to export data to Excel or file support tickets to gain insights, leading to disengagement, increased support loads, and churn risk. tableArth.ai provides an in-product AI assistant that lets users ask questions in natural language and get immediate answers, charts, and dashboards, eliminating the need for manual data extraction or analysis in external tools.

Key Features ▼
✓

Extremely easy integration with just two lines of code

✓

Sub-5-second response times for natural language queries

✓

Four configurable privacy modes to protect data

✓

Auto selection of appropriate chart types (bar, line, pie, etc.)

✓

Multiple deployment options: widget, REST API, and Chrome extension

Overview

tableArth.ai is an embeddable AI analytics layer designed for software products, enabling any table within an application to become AI-smart with natural language querying. It offers a drop-in widget that can be added with just two lines of code, a REST API for custom integrations, and a Chrome extension to overlay analytics on tables in any web app. The engine automatically generates SQL from plain English questions, executes it, and returns answers along with auto-selected charts, all within sub-5-second response times. It supports multiple data sources including in-product tables, CSV uploads, live API feeds, and embedded widgets. The platform emphasizes privacy with four configurable modes and is white-label ready, shipping on the customer's domain. It targets software teams building B2B SaaS, fintech dashboards, healthtech portals, logistics ops, marketplace analytics, and developer tools, aiming to reduce customer churn by keeping users inside the product for insights rather than exporting data or filing support tickets.

Pros & Cons

Pros

+

Extremely easy integration with just two lines of code

+

Sub-5-second response times for natural language queries

+

Four configurable privacy modes to protect data

+

Auto selection of appropriate chart types (bar, line, pie, etc.)

+

Multiple deployment options: widget, REST API, and Chrome extension

Cons

−

Limited to table-based data sources; may not handle complex multi-table joins without configuration

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Free pricing may have usage restrictions not detailed

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Dependent on internet connectivity and cloud service availability

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Closed source; no self-hosting option for full data control

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Relatively new (as of 2025) with potentially limited community support

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