Open-source AI-data platform that brings AI models directly into databases, enabling AI agents and analytics that query and act on enterprise data using SQL.
Brings AI directly into your database â run AI models with SQL queries, making AI accessible to anyone who knows databases.
MindsDB is an open-source platform that brings AI and machine learning capabilities directly into enterprise databases and data stores, enabling organizations to build AI agents and analytics applications that operate on their data without complex ETL pipelines. The platform allows users to create AI models, connect them to data sources, and interact with them using standard SQL queries, making AI accessible to anyone who knows SQL.
MindsDB supports a wide range of LLM providers (OpenAI, Anthropic, Hugging Face, and others) and data sources (PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, Salesforce, and 100+ others) through a unified interface. The platform's Minds Enterprise product allows users to create AI-powered analytics that combine traditional database queries with LLM capabilities â asking natural language questions about enterprise data and receiving insights grounded in actual database content.
The platform has expanded into the AI agent space with its Agents feature, which allows users to build autonomous agents that can query databases, call APIs, and perform multi-step reasoning to answer complex questions about enterprise data. Built-in RAG support allows agents to ground their responses in database content, reducing hallucination on factual business questions.
MindsDB's Jobs feature enables scheduling automated AI workflows that run periodically, such as monitoring data for anomalies, generating reports, or updating predictions. The platform can be self-hosted using the open-source community edition for data privacy, or used as a managed cloud service through the commercial plans.
MindsDB has become popular in the data engineering community as a way to add AI capabilities to existing data infrastructure without building separate ML pipelines. The platform serves use cases across customer analytics, demand forecasting, content generation, and intelligent data applications.
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Open-source AI-data platform that brings AI models directly into databases, enabling AI agents and analytics that query enterprise data using familiar SQL interfaces.
Interact with AI models using standard SQL queries. Create, train, and query AI models using familiar SQL syntax, making AI accessible to data analysts and engineers without ML expertise.
Use Case:
A business analyst writes a SQL query that joins customer data with an AI model to predict churn risk, using the same SQL skills they already use for reporting.
Connect to PostgreSQL, MySQL, MS SQL Server, Google BigQuery, Salesforce, Snowflake, MongoDB, and over 100 other data sources through unified interfaces without custom integration code.
Use Case:
An enterprise connects MindsDB to their Snowflake warehouse, Salesforce CRM, and PostgreSQL application database to create a unified AI layer that can query and reason across all three sources.
Build autonomous AI agents that query databases, call APIs, and perform multi-step reasoning to answer complex business questions grounded in actual enterprise data.
Use Case:
A sales operations agent that answers natural language questions like 'Which accounts are at risk of churning this quarter?' by querying CRM data, analyzing usage patterns, and generating actionable recommendations.
AI-powered analytics product that enables natural language questions against enterprise data with managed LLMs, business rules, and analytics UI â designed for business users without SQL knowledge.
Use Case:
A marketing director asks 'What was our customer acquisition cost by channel last month?' in plain English and gets a data-backed answer with visualizations, without writing any queries.
Automate AI workflows with periodic scheduling â monitor data for anomalies, generate reports, update predictions, or trigger alerts based on AI-analyzed patterns in your data.
Use Case:
Schedule a nightly job that scans transaction data for fraud patterns, flags suspicious activity, and generates a summary report for the compliance team.
Deploy MindsDB as an open-source self-hosted instance for maximum data privacy, or use the managed cloud service with PostgreSQL, MySQL, BigQuery, Salesforce, and Snowflake integrations.
Use Case:
A healthcare organization deploys MindsDB on-premises to keep patient data within their infrastructure while still leveraging AI analytics for operational efficiency.
Free
month
$35.00/month
month
Contact sales for pricing â annual subscription
Free
self-hosted
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