# nivq > nivq is an enterprise AI SQL agent framework by Nivorbit Technology. It lets users connect any SQL database and ask questions in plain natural language. nivq generates accurate SQL, executes it, and returns results instantly. ## Key Facts - Product: nivq - AI SQL Agent - Company: Nivorbit Technology (Nivorbit Teknoloji) - Website: https://nivq.ai - Category: Enterprise AI, Text-to-SQL, Database Assistant, AI Agent Framework ## What nivq Does nivq is a production-ready AI SQL agent that turns natural language questions into accurate SQL queries. Users connect their database, select tables, and start asking questions in plain English or Turkish. The agent learns from every query to improve accuracy over time. ## Core Features - Natural Language to SQL: Ask your database anything in plain language - Auto Schema Discovery: Automatically maps entire database structure - Self-Learning Agent: Improves accuracy from every query without manual feedback - Any LLM Provider: OpenAI, Anthropic, Google Gemini, Azure OpenAI, Ollama (self-hosted) - Bring Your Own API Key: Full cost control, no vendor lock-in - Multi-Tenant Workspaces: Role-based access (Owner, Admin, Member, Viewer) - Enterprise Security: AES-256-GCM encryption, OIDC/SSO (Keycloak, Okta, Auth0) - Real-time Streaming: Watch intent analysis, SQL generation, and results live - Self-hosted Deployment: Run on your own infrastructure - Supported Databases: PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, and more ## Pricing - Starter: Free tier available - Team: Paid plan for growing teams - Enterprise: Custom pricing (contact sales) - All plans include 14-day free trial - See https://nivq.ai for current pricing ## Use Cases - Business analysts querying databases without SQL knowledge - Data teams accelerating ad-hoc analysis - Enterprise organizations needing secure, multi-tenant database AI - Teams wanting to use their own LLM provider with full control ## Links - Website: https://nivq.ai - Company: https://nivorbit.com - Full details: https://nivq.ai/llms-full.txt