This project is scheduled for launch
Launch date: Monday, November 30, 2026 at 08:00 AM UTC

tableArth.ai is an innovative embeddable AI analytics layer designed specifically for B2B software products. It transforms any data table within your application into an AI-smart interface, allowing your customers to ask questions in plain English and receive instant answers, charts, and dashboards in under 5 seconds.
This solution is ideal for software teams building B2B SaaS platforms, Fintech dashboards, Healthtech portals, Logistics & ops software, Marketplace analytics, and Developer tools, aiming to enhance user engagement and reduce support overhead.
tableArth.ai addresses critical pain points for software providers whose customers struggle to extract insights from in-product data. Instead of customers exporting data to Excel for analysis, raising support tickets for every question, or looking for alternative AI-native solutions, tableArth.ai keeps users engaged within your product.
It empowers users to self-serve their data analytics needs, turning every table into an interactive, intelligent source of information. This not only improves the user experience but also significantly reduces the burden on your support and analytics teams, allowing them to focus on core product development rather than ad-hoc data requests.
tableArth.ai offers a cost-predictable pricing model with visible usage, allowing you to choose between hard caps, soft alerts, or pay-as-you-go. Pricing tiers are available per widget (e.g., $540 / $1,000), per API endpoint (e.g., $230 / $500), per customer (e.g., $76 / $200), or per user (e.g., $14.40 / $20). Specific details on free trials or freemium options are not provided, but the pricing structure indicates a paid service.
The platform is designed for ease of integration and use. The drop-in widget requires just two lines of code, working with popular frameworks like React, Vue, Angular, or plain HTML. It plugs into existing authentication and theming, ensuring a white-label experience on your domain. Users benefit from suggested prompts for every dataset, making it easy to start asking questions. Comprehensive documentation for Widget and REST API integration is available, and direct support can be accessed by talking to sales or booking a demo.
tableArth.ai is built as a drop-in AI analytics layer, meaning it doesn't require a data warehouse or extensive data migration. It connects to various data sources including product tables in-app, CSV uploads, and live API feeds. The engine reasons over the current table context, generates SQL, runs it, and returns insights. It offers flexible deployment via a UI Widget, a REST API for custom UI integrations, or a Chrome Extension for overlaying analytics on any web app.
tableArth.ai offers a powerful and efficient solution for B2B software companies looking to embed advanced AI analytics directly into their products without the extensive build-out. By empowering users with natural language querying and instant insights, it drives product value, improves customer satisfaction, and streamlines internal operations. Explore tableArth.ai today to make your software products AI-smart and unlock the full potential of your data.
Comments will be available once the project is launched.
Udit Agarwal
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