Kyligence
Augmented OLAP and Unified Metric Stores for High-Performance Cloud Analytics.
Transform Natural Language into Production-Grade SQL with Context-Aware Schema Mapping
AI SQL Wizard is a premier 2026-gen data engineering assistant designed to bridge the gap between complex relational databases and non-technical stakeholders. Built on a proprietary Retrieval-Augmented Generation (RAG) architecture, it performs deep scans of database metadata to build a semantic map of tables, relationships, and constraints. Unlike generic LLMs, AI SQL Wizard employs a multi-step verification process where the generated SQL is validated against the specific dialect (PostgreSQL, MySQL, Snowflake, BigQuery) to ensure syntactical accuracy before delivery. Its 2026 market position is defined by its 'Privacy-First' edge, allowing enterprise users to mask sensitive data while only exposing schema architecture for query generation. The tool integrates natively with CI/CD pipelines, enabling automated query testing and performance tuning. By leveraging context-aware prompt engineering, it handles complex JOIN logic and window functions that traditional tools struggle with, effectively reducing data team ticket backlogs by up to 65%. It is positioned as a critical layer in the modern data stack for companies seeking to democratize data access without compromising security or performance.
Maps business terminology to complex database schemas using vector embeddings.
Augmented OLAP and Unified Metric Stores for High-Performance Cloud Analytics.
AI-powered adaptive math learning that identifies and bridges learning gaps through granular skill modeling.
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.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Executes trial runs in a sandboxed environment to catch and fix syntax errors automatically.
Rewrites legacy SQL (e.g., Oracle) into modern cloud-native SQL (e.g., BigQuery).
Filters and masks sensitive metadata before it reaches the LLM inference server.
Analyzes the generated EXPLAIN plan to estimate query cost and runtime.
Generates ERDs (Entity Relationship Diagrams) dynamically based on AI schema analysis.
Handles queries requiring joins across 5+ tables through recursive logical decomposition.
Executives need immediate answers to sales questions without waiting for the BI team.
Registry Updated:2/7/2026
An organization is migrating from on-premise SQL Server to Snowflake.
Developers lack an updated ERD for a sprawling 200-table database.