AI-powered data analyst that converts natural language into SQL and actionable insights instantly.
AskEdith is a next-generation AI data analyst designed to eliminate the technical barrier between business users and their data. At its core, the platform utilizes a sophisticated semantic mapping engine that ingests database schemas (DDL) and creates a contextual knowledge graph of table relationships and column definitions. By leveraging advanced Large Language Models (LLMs), AskEdith translates complex human language queries into high-performance SQL. For 2026, the tool has evolved beyond simple query generation to include autonomous data cleaning and predictive visualization. It functions as a middle-layer orchestration tool that connects directly to production databases like PostgreSQL, MySQL, and Snowflake via encrypted tunnels. Its architecture is optimized for low-latency response times, ensuring that non-technical stakeholders can perform ad-hoc analysis without burdening engineering teams. The platform's ability to handle ambiguous joins and filter logic makes it a standout in the 'English-as-a-Programming-Language' movement within enterprise BI.
Uses LLM context windows to map table metadata and foreign key relationships for accurate joins.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
The world's most adaptable EPM platform for autonomous financial and operational planning.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Heuristically determines the best chart type (Plotly-based) for the returned data structure.
Translates generated SQL back into plain English to explain 'how' it calculated the result.
AI-driven detection of date formats, null values, and inconsistent string casing in uploaded files.
Supports encrypted connections to private databases without exposing them to the public internet.
Virtualization layer that allows querying across different databases (e.g., Postgres + Snowflake) in one prompt.
Tracks historical changes to natural language prompts and their corresponding SQL outputs.
Sales managers need to know 'Which region grew the most last month?' without waiting for a data analyst.
Registry Updated:2/7/2026
Identifying high-risk users who haven't logged in for 30 days but are on a paid tier.
Warehouse managers tracking stock levels across multiple locations in real-time.