MindsDB, USA — Build AI Agents Directly on Your Enterprise Data
Mission
Democratize access to powerful AI and machine learning by enabling developers, data teams, and enterprises to build custom AI solutions directly on top of their existing data — without requiring specialized ML expertise or complex data pipelines.
Context
Modern enterprises struggle with fragmented data stored across multiple systems (databases, SaaS apps, files, etc.). Traditional analytics and machine learning often require extracting, transforming, and moving data into centralized systems — a slow, costly process that creates data sprawl and technical debt. MindsDB solves this by bringing the intelligence to the data rather than moving the data itself, enabling real-time AI insights without heavy engineering or duplication.
Founded in 2017 as an open-source project, MindsDB has since evolved into a leading AI analytics and federated data platform, empowering developers and organizations to ask natural language or SQL questions of their data and receive timely, transparent AI-driven answers.
AIAsset
MindsDB Platform — Federated AI Data Engine
The flagship MindsDB platform connects with hundreds of data sources and provides:
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Federated Query Engine — Executes SQL or AI-driven queries across disparate databases and applications without centralizing data.
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Knowledge Bases — Unify structured and unstructured data for semantic understanding and RAG-style insights.
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Natural Language Interface — Ask questions in plain English and get AI-generated insights with traceable reasoning.
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AI Data Agents — Use built-in or connected LLMs to interpret user intent, translate it into queries, and return context-aware results.
These capabilities drive real-time analytics, AI-augmented decision-making, and intelligent applications without requiring data engineers to build heavy ETL pipelines.
Proof
Founded: 2017, Berkeley, California, USA.
Founders: Jorge Torres (CEO) & Adam Carrigan (COO).
Open Source Leadership:
MindsDB began as a public open-source project and remains one of the most widely adopted open-source AI data platforms globally.
Funding & Backers:
Backed by top investors including Benchmark, Mayfield, Y Combinator, and NVIDIA’s NVentures, with more than $50M in funding to grow the platform and ecosystem.
Industry Recognition:
Named to Fast Company’s World’s Most Innovative Companies list in 2024, demonstrating its impact and innovation in AI and data analytics.
Broad Adoption:
Trusted by tens of thousands of developers and data teams worldwide, with 400K+ deployments, 200+ data sources supported, and over 38K GitHub stars — showing strong community and enterprise usage.
Outcomes & Value Proposition
AI for Real-Time Insights:
MindsDB enables teams to generate analytics and answers from data at the pace of business, without waiting for traditional BI or data science cycles.
Reduced Engineering Burden:
By eliminating the need for ETL and heavy data movement, MindsDB accelerates AI projects and reduces operational complexity.
Flexible Integration:
Supports over 200 connectors to databases, warehouses, SaaS apps, and more — making it useful across industries and data environments.
Transparent AI Responses:
MindsDB emphasizes explainability and traceability in AI-driven insights, giving organizations confidence in results and compliance.
Website
Reference Videos
1️⃣ The Fastest Way to Build AI Agents With Your Data
Explains how to use MindsDB to quickly create AI agents that interact with enterprise data.
https://www.youtube.com/watch?v=MX3OKpnsoLM
2️⃣ Introducing Minds — Conversational Enterprise-Ready AI
Overview of the new “Minds” system for reasoning across real-time and historical data.
https://www.youtube.com/watch?v=D_BoVJeDGLw
3️⃣ MindsDB in Practice (October 2025) — Monthly Demo
A practical look at recent features and real-world usage examples.
https://www.youtube.com/watch?v=wMiqhHv9oKQ
4️⃣ Search Unstructured Data with SQL Precision — MindsDB
Shows how MindsDB enables querying mixed structured and unstructured data with high precision.
https://www.youtube.com/watch?v=HN4fHtS4mvo
