Empowering non-technical users to access real-time data insights through natural language conversations.
NLSQL is a sophisticated Natural Language to SQL (NL-to-SQL) interface designed for enterprise-grade business intelligence. By 2026, its technical architecture has evolved into a robust semantic layer that bridges the gap between complex relational databases—including SAP, MS SQL Server, and Oracle—and non-technical business users. Unlike standard LLM implementations, NLSQL utilizes a proprietary 'Data-In-Place' architecture, ensuring that sensitive corporate data never leaves the client's infrastructure; only the natural language metadata and the resulting SQL syntax are processed. This makes it a preferred choice for highly regulated industries such as healthcare and manufacturing. Its 2026 market position is defined by its deep integration with ecosystem-leading platforms like Microsoft Teams and Slack, providing a conversational UI for ERP data. The tool employs advanced schema mapping and intent recognition to handle ambiguous queries, and it provides a transparent audit trail for every query generated, mitigating the 'black box' risks associated with generative AI in finance and operations.
Processes queries without moving or storing the actual database records on NLSQL servers.
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.
Pre-built mapping for complex SAP table structures and relations.
Uses a multi-step verification process to clarify ambiguous user requests before execution.
Supports queries in 20+ languages while generating standard SQL.
Automatically suggests the best chart type (bar, line, pie) based on the SQL result set.
Syncs with existing Active Directory or LDAP permissions to restrict data access.
Automatically updates query logic when database schemas change.
Sales managers cannot generate complex SQL reports without help from the data team.
Registry Updated:2/7/2026
Warehouse managers need real-time stock levels for thousands of SKUs.
Auditors need to find transaction anomalies quickly.