Transform natural language into production-ready SQL and visual insights instantly.
IntelliSQL is an advanced AI-driven data interface designed to bridge the gap between complex database architectures and non-technical stakeholders. By 2026, it has solidified its position in the market by utilizing proprietary 'Schema-Aware Contextual LLMs' that ingest database metadata without accessing raw PII data, ensuring high-security compliance. The platform functions as a semantic layer, translating ambiguous natural language requests into optimized, dialect-specific SQL (supporting PostgreSQL, Snowflake, BigQuery, and more). Beyond mere query generation, IntelliSQL incorporates a self-healing engine that executes dry runs to identify and fix syntax errors before they reach the production environment. Its architecture is built for the modern data stack, providing seamless integration with Slack and Microsoft Teams to democratize data access across organizations. As enterprises move toward decentralized data ownership, IntelliSQL’s ability to maintain a persistent 'Business Logic Glossary' allows it to understand company-specific acronyms and KPIs, making it more accurate than generic LLM wrappers.
Allows users to upload a dictionary of business terms that the AI maps to specific database entities.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically iterates on queries that return database errors by analyzing the traceback and adjusting joins.
Synthesizes SQL that logic-joins data across disparate sources like Snowflake and PostgreSQL via a federated layer.
Uses NER (Named Entity Recognition) to scrub sensitive information before the prompt is sent to the LLM.
Explains complex legacy SQL queries in plain English for code audits.
Hybrid drag-and-drop interface that syncs in real-time with the AI chat.
Automatically converts SQL code from one dialect (e.g., Oracle) to another (e.g., DuckDB).
Non-technical sales managers waiting 3 days for BI teams to run SQL reports.
Registry Updated:2/7/2026
Moving thousands of complex stored procedures from SQL Server to BigQuery.
Large databases with hundreds of tables and no documentation.